A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms
The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led...
Saved in:
| Published in | Smart Learning Environments Vol. 10; no. 1; pp. 12 - 26 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Springer Nature Singapore
01.01.2023
Springer Springer Nature B.V SpringerOpen |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems. |
|---|---|
| AbstractList | The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems. The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems.The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems. Abstract The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems. |
| ArticleNumber | 12 |
| Author | Lanitis, Andreas Dimitriadou, Eleni |
| Author_xml | – sequence: 1 givenname: Eleni orcidid: 0000-0001-9257-0999 surname: Dimitriadou fullname: Dimitriadou, Eleni email: ela.dimitriadou@edu.cut.ac.cy organization: Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, CYENS Centre of Excellence – sequence: 2 givenname: Andreas surname: Lanitis fullname: Lanitis, Andreas organization: Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, CYENS Centre of Excellence |
| BackLink | http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1364971$$DView record in ERIC https://www.ncbi.nlm.nih.gov/pubmed/40478141$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9Uk1v1DAUjFARLaV_AAkUiQuHBvwRO_GlUlUVKKrEBc6W4zxnXXntxXZW4ifwr_Fu2tL20Itt-c2M3rw3r6sDHzxU1VuMPmHc88-pRYzjBhHaoHLghr6ojggWvOmQwAcP3ofVSUo3CCEsMKdMvKoOW9R2PW7xUfX3vNbRZquVq2Gr3KyyDf601ivlHPgJ0mmt_FibOc8R6g3EtAGd7RZSHUw9J-unWsVsjdW2aFifwTk7gdewJ8Ia4rQDZdArH1yYbKFaX6d1odXaqZRiCOv0pnpplEtwcnsfV7--XP68-NZc__h6dXF-3WiOcG460w18RGigDLph7LEauSLYCIoNdISQXghNNBtMz1rGAAsYkCFsYMPY8X6kx9XVojsGdSM30ZY-_sigrNx_hDjJnR_tQDKlNeeasN7oVlAqCOqwaPFIRqxNx4rW2aK1mYc1jBp8jso9En1c8XYlp7CVQqCyPloEPt4KxPB7hpTl2iZdJqg8hDlJSsrKOKctKdAPT6A3YY6-jEoWz4gyWkZQUO8fdnTfyt3GC-DdAoBo9X358jumvBXdrt4vdR1D2QwYqW3eh6IYsE5iJHf5k0v-ZIme3OdP7syQJ9Q7-WdJdCGlAi55i_9tPcP6BxB57b8 |
| CitedBy_id | crossref_primary_10_1016_j_rineng_2024_103837 crossref_primary_10_18009_jcer_1477709 crossref_primary_10_1007_s12008_023_01550_y crossref_primary_10_14232_iskkult_2023_10_39 crossref_primary_10_1109_ACCESS_2024_3454372 crossref_primary_10_2478_rem_2024_0017 crossref_primary_10_1186_s40561_023_00261_x crossref_primary_10_4018_IJICTE_343309 crossref_primary_10_3390_su151612663 crossref_primary_10_1016_j_heliyon_2024_e29523 crossref_primary_10_52756_ijerr_2024_v43spl_007 crossref_primary_10_3390_educsci15020174 crossref_primary_10_3390_app13159003 crossref_primary_10_1134_S0361768823080066 crossref_primary_10_1177_21582440241287585 crossref_primary_10_3390_s24175487 crossref_primary_10_23917_abditeknoyasa_v5i1_5656 crossref_primary_10_70838_pemj_340102 crossref_primary_10_1186_s40561_024_00362_1 crossref_primary_10_1007_s40593_024_00410_4 crossref_primary_10_15700_saje_v44n4a2542 crossref_primary_10_1109_ACCESS_2024_3445909 crossref_primary_10_23947_2334_8496_2024_12_1_169_183 crossref_primary_10_1007_s10639_025_13381_3 crossref_primary_10_1109_ACCESS_2024_3354719 crossref_primary_10_55529_jaimlnn_45_19_29 crossref_primary_10_26697_ijsa_2023_2_0 crossref_primary_10_3390_disabilities5010007 crossref_primary_10_1016_j_joitmc_2024_100448 crossref_primary_10_1108_JSIT_08_2024_0297 crossref_primary_10_55959_MSU2070_1381_104_2024_7_17 crossref_primary_10_33225_pec_24_82_630 crossref_primary_10_1016_j_compedu_2025_105259 crossref_primary_10_3389_feduc_2023_1161777 crossref_primary_10_4018_IJWSR_359984 crossref_primary_10_4236_jss_2024_1211004 crossref_primary_10_1016_j_chb_2024_108354 crossref_primary_10_56712_latam_v4i2_1040 crossref_primary_10_1016_j_iswa_2023_200262 crossref_primary_10_3390_educsci14050540 crossref_primary_10_1007_s40692_024_00325_y crossref_primary_10_1007_s10758_024_09804_8 crossref_primary_10_1186_s40594_023_00452_5 crossref_primary_10_29333_ejmste_16124 crossref_primary_10_3390_app14188357 crossref_primary_10_1016_j_tate_2025_104952 crossref_primary_10_4236_jis_2024_153019 crossref_primary_10_2478_amns_2024_3096 crossref_primary_10_2478_amns_2024_2567 crossref_primary_10_24857_rgsa_v18n3_192 crossref_primary_10_1007_s10639_024_12587_1 crossref_primary_10_22399_ijcesen_799 crossref_primary_10_1016_j_jhlste_2024_100481 crossref_primary_10_31637_epsir_2025_1871 crossref_primary_10_71270_istanbulegitim_istj_1586392 crossref_primary_10_1080_10447318_2024_2383812 crossref_primary_10_1016_j_caeai_2025_100392 crossref_primary_10_2478_amns_2024_2849 crossref_primary_10_19053_uptc_20278306_v14_n1_2024_17537 crossref_primary_10_1007_s11528_023_00892_4 crossref_primary_10_1016_j_jdmm_2024_100929 crossref_primary_10_1007_s10639_025_13460_5 crossref_primary_10_26697_ijsa_2023_1_1 crossref_primary_10_46932_sfjdv5n10_010 crossref_primary_10_55056_cte_616 crossref_primary_10_1109_ACCESS_2025_3540944 crossref_primary_10_3390_educsci14060619 crossref_primary_10_2478_amns_2024_3586 crossref_primary_10_3390_educsci14080886 crossref_primary_10_1016_j_ijme_2025_101156 crossref_primary_10_1016_j_ijer_2024_102323 crossref_primary_10_54855_ijaile_24122 crossref_primary_10_1080_2331186X_2024_2433814 crossref_primary_10_1109_TLT_2023_3301094 crossref_primary_10_29333_ejmste_15915 crossref_primary_10_1109_TLT_2023_3302382 crossref_primary_10_30935_cedtech_13587 crossref_primary_10_54493_jgttr_1384089 |
| Cites_doi | 10.1007/978-3-319-62533-1 10.1111/jade.12227 10.11120/ital.2009.08020053 10.1016/j.cpr.2016.10.005 10.1007/978-3-642-39330-3_10 10.1007/s11409-020-09251-7 10.1109/RAMECH.2006.252754 10.1109/ICETA.2017.8102528 10.1016/j.chb.2019.106189 10.1007/978-3-319-13293-8_12 10.1145/3365757 10.18178/ijiet.2017.7.12.995 10.1109/GTSD50082.2020.9303086 10.1108/01439910110410051 10.1016/j.procs.2020.12.019 10.5121/ijcseit.2015.5103 10.1109/TALE48869.2020.9368438 10.3991/ijet.v14i05.10251 10.1109/MELECON53508.2022.9843020 10.1017/CBO9781139049580 10.1109/ITHET.2015.7217957 10.1002/nop2.471 10.7195/ri14.v9i2.24 10.21125/edulearn.2019.0464 10.1109/ICITECH.2017.8079967 10.1145/3139513.3139514 10.5772/10667 10.3390/app9091837 10.12973/eurasia.2017.00630a 10.1007/s12369-015-0303-1 10.1080/10447318.2018.1534346 10.1016/j.compedu.2017.09.010 10.1145/1597849.1384312 10.1016/j.lcsi.2019.03.008 10.1016/j.jmb.2019.01.033 10.1109/ETCCE51779.2020.9350904 10.1007/s10639-019-09973-5 10.1145/3098279.3098547 10.1073/pnas.1907373117 10.1109/ICCIC.2013.6724266 10.1109/ICAIS50930.2021.9395838 10.3390/app9224729 10.1007/s10639-022-11221-2 10.1109/ACCESS.2021.3060964 10.5220/0010868200003124 10.1145/1178823.1178930 10.1109/IOTM.0001.1900050 10.32473/jahe.v2i1.125129 10.1109/ACCESS.2022.3145355 10.1080/00207543.2020.1859636 10.1142/S0218001418500465 10.18178/ijmerr.7.5.528-533 10.1111/ecc.12230 10.1109/WACV.2019.00096 10.1016/j.sbspro.2015.02.122 10.1016/j.compedu.2018.07.021 10.1016/j.procs.2015.07.123 10.1016/j.compedu.2010.06.023 10.1007/s11263-022-01594-9 10.1109/MELCON.2016.7495417 10.4324/9780203078952 10.1093/elt/ccaa035 10.1080/09523987.2014.889400 10.1016/j.compedu.2012.03.001 10.1007/978-981-33-4572-0_88 10.1007/978-81-322-3972-7 10.1016/j.procs.2014.05.373 10.1109/RITA.2017.2776419 10.1002/aris.1440370103 10.1007/978-981-33-6757-9_61 10.1016/j.compedu.2013.09.004 10.1002/ett.4094 10.1155/2021/6679732 10.3390/electronics8111295 10.1080/15544800701771580 10.1145/1514095.1514163 10.1145/3448139.3448168 10.1080/10447318.2020.1870830 10.1007/978-1-4419-8530-9_13 10.1007/s40593-016-0095-y 10.1080/1475939X.2013.838452 10.1145/1226969.1227006 10.1007/s10055-018-0359-y 10.1109/ACCESS.2020.2988510 10.1111/bjet.12718 10.1109/ICCSE.2019.8845330 10.1016/j.nima.2011.05.055 10.1016/j.jrt.2021.100021 10.1109/TALE.2018.8615217 10.1016/j.edurev.2017.08.002 10.1007/978-3-030-35699-6_18 10.12973/eurasia.2017.00623a 10.1007/s12369-017-0458-z 10.1109/ROMAN.2009.5326135 10.1109/EMEIT.2011.6023166 10.1515/jaiscr-2017-0004 10.1016/j.procs.2017.10.021 10.1016/j.edurev.2021.100388 10.1109/ASET53988.2022.9735018 10.1109/VR.2016.7504696 10.1145/3290605.3300792 10.1109/ICALT.2018.00131 10.3390/encyclopedia2010031 10.1109/ICSTCC.2014.6982498 10.1007/s12369-018-0481-8 10.1109/ISMAR.2008.4637362 10.1561/1100000049 10.12783/dtcse/aiea2017/14922 10.1007/s11042-020-09741-5 10.1109/SSCI.2016.7849999 10.1016/j.autcon.2010.05.006 10.1002/cpe.4515 10.1007/s11412-012-9156-x 10.1007/s40593-016-0108-x 10.1007/978-3-030-78270-2_44 10.3390/s150921760 10.1007/978-3-319-22368-1_8 10.1080/03055698.2020.1850426 10.1145/3313831.3376418 10.1108/LHT-04-2017-0070 10.1145/3012430.3012625 10.1007/s43681-020-00002-7 10.1007/978-3-319-08234-9_205-1 10.1145/3449171 10.1007/s10639-019-10004-6 10.1007/978-3-642-00196-3_24 10.25304/rlt.v29.2572 10.1145/1242073.1242086 10.1111/flan.12327 10.1007/s12369-014-0277-4 10.5220/0010306502290235 10.1037/tmb0000082 10.1080/13504622.2014.911247 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2023 The Author(s) 2023. The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2023 – notice: The Author(s) 2023. – notice: The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION 7SW BJH BNH BNI BNJ BNO ERI PET REK WWN NPM 0-V 3V. 7XB 88B 8FE 8FG 8FK ABUWG AFKRA AHOVV ALSLI ARAPS AZQEC BENPR BGLVJ CCPQU CJNVE DWQXO GNUQQ HCIFZ M0P P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEDU PQEST PQGLB PQQKQ PQUKI Q9U 7X8 5PM DOA |
| DOI | 10.1186/s40561-023-00231-3 |
| DatabaseName | SpringerOpen CrossRef ERIC ERIC (Ovid) ERIC ERIC ERIC (Legacy Platform) ERIC( SilverPlatter ) ERIC ERIC PlusText (Legacy Platform) Education Resources Information Center (ERIC) ERIC PubMed ProQuest Social Sciences Premium Collection ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Education Database (Alumni Edition) ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni Edition) ProQuest Central UK/Ireland Education Research Index Social Science Premium Collection Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College Education Collection ProQuest Central Korea ProQuest Central Student ProQuest SciTech Premium Collection Education Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Education ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef ERIC PubMed Publicly Available Content Database ProQuest One Education ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Central (New) Advanced Technologies & Aerospace Collection Social Science Premium Collection Education Collection ProQuest Central Basic ProQuest Education Journals ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Social Sciences Premium Collection ProQuest One Academic UKI Edition ProQuest One Academic ProQuest Education Journals (Alumni Edition) ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | PubMed CrossRef Publicly Available Content Database MEDLINE - Academic ERIC |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: ERI name: ERIC url: https://eric.ed.gov/ sourceTypes: Index Database – sequence: 5 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Education |
| EISSN | 2196-7091 |
| ERIC | EJ1364971 |
| EndPage | 26 |
| ExternalDocumentID | oai_doaj_org_article_5acc66c258fc493392071941d2d1cf75 PMC9900563 40478141 EJ1364971 10_1186_s40561_023_00231_3 |
| Genre | Journal Article Review |
| GrantInformation_xml | – fundername: European Union’s Horizon 2020 Research and Innovation Programme grantid: 739578 – fundername: ; grantid: 739578 |
| GroupedDBID | 0R~ 5VS 8FE 8FG AAFWJ AAHSB AAJSJ AAKKN ABEEZ ABFTD ABUWG ACACY ACGFS ACULB ADBBV ADINQ ADMLS AFGXO AFKRA AFPKN AHBYD AHYZX ALMA_UNASSIGNED_HOLDINGS ALSLI AMKLP ARAPS ASPBG AZQEC BCNDV BENPR BGLVJ C24 C6C CCPQU CJNVE DWQXO EBLON EBS GNUQQ GROUPED_DOAJ HCIFZ IAO IER ITC M0P M~E OK1 P62 PIMPY PQEDU PQQKQ PROAC RSV SOJ AASML AAYXX CITATION PHGZM PHGZT 7SW BJH BNH BNI BNJ BNO ERI PET REK WWN AHSBF EJD NPM PMFND 0-V 3V. 7XB 8FK AHOVV PKEHL PQEST PQGLB PQUKI Q9U 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c601t-7f7b6d00b35e7bd81ad6a21f931fe7222899c2c5bf85455e19eb0f25b5bd768d3 |
| IEDL.DBID | C24 |
| ISSN | 2196-7091 |
| IngestDate | Wed Aug 27 01:24:48 EDT 2025 Thu Aug 21 18:38:52 EDT 2025 Fri Jul 11 17:11:43 EDT 2025 Sat Aug 23 14:48:28 EDT 2025 Sun Jun 08 01:31:28 EDT 2025 Tue Sep 02 19:36:02 EDT 2025 Tue Jul 01 04:08:41 EDT 2025 Thu Apr 24 23:12:30 EDT 2025 Fri Feb 21 02:45:36 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Smart classroom Artificial intelligence Smart environment Emerging technologies Educational technology |
| Language | English |
| License | The Author(s) 2023. Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c601t-7f7b6d00b35e7bd81ad6a21f931fe7222899c2c5bf85455e19eb0f25b5bd768d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
| ORCID | 0000-0001-9257-0999 |
| OpenAccessLink | https://link.springer.com/10.1186/s40561-023-00231-3 |
| PMID | 40478141 |
| PQID | 2890353931 |
| PQPubID | 2046137 |
| PageCount | 26 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_5acc66c258fc493392071941d2d1cf75 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9900563 proquest_miscellaneous_3216366342 proquest_journals_2890353931 pubmed_primary_40478141 eric_primary_EJ1364971 crossref_citationtrail_10_1186_s40561_023_00231_3 crossref_primary_10_1186_s40561_023_00231_3 springer_journals_10_1186_s40561_023_00231_3 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20230101 |
| PublicationDateYYYYMMDD | 2023-01-01 |
| PublicationDate_xml | – month: 1 year: 2023 text: 20230101 day: 1 |
| PublicationDecade | 2020 |
| PublicationPlace | Singapore |
| PublicationPlace_xml | – name: Singapore – name: Germany – name: Heidelberg |
| PublicationTitle | Smart Learning Environments |
| PublicationTitleAbbrev | Smart Learn. Environ |
| PublicationTitleAlternate | Smart Learn Environ |
| PublicationYear | 2023 |
| Publisher | Springer Nature Singapore Springer Springer Nature B.V SpringerOpen |
| Publisher_xml | – name: Springer Nature Singapore – name: Springer – name: Springer Nature B.V – name: SpringerOpen |
| References | KongYFuYHuman action recognition and prediction: A surveyInternational Journal of Computer Vision2022130513661401 Ellern, G. J. D., & Buchanan, H. E. (2018). No strings attached? Challenges and successes in creating a flexible, wire-free active learning classroom. Library Hi Tech. Chamba-ErasLAguilarJAugmented reality in a smart classroom—Case study: SaCIIEEE Revista Iberoamericana De Tecnologias Del Aprendizaje2017124165172 Poppinga, B., & Laue, T. (2019). JET-Net: Real-time object detection for mobile robots. In Robot World Cup (pp. 227–240). GuttormsenMBürgerAHansenTELietaerNThe SiRi particle-telescope systemNuclear Instruments and Methods in Physics Research Section a: Accelerators, Spectrometers, Detectors and Associated Equipment20116481168173 Kaufmann, H., & Schmalstieg, D. (2002). Mathematics and geometry education with collaborative augmented reality. In ACM SIGGRAPH 2002 conference abstracts and applications. SainiMKGoelNHow smart are smart classrooms? A review of smart classroom technologiesACM Computing Surveys2019526128 Chowdhary, K. (2020). Natural language processing. Fundamentals of artificial intelligence. Hsu, P. C., Wang, C. H., Liu, A. T., & Lee, H. Y. (2019). Towards robust neural vocoding for speech generation: A survey. ChenXZouDXieHChengGLiuCTwo decades of artificial intelligence in educationEducational Technology & Society20222512847 HelmsASSchmiegelowKBrokJJohansenCThorsteinssonTSimovskaVLarsenHBFacilitation of school re-entry and peer acceptance of children with cancer: A review and meta-analysis of intervention studiesEuropean Journal of Cancer Care2016251170179 SahuCKYoungCRaiRArtificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: A reviewInternational Journal of Production Research2021591649034959 Sobota, B., Korečko, Š., Jacho, L., Pastornický, P., Hudák, M., & Sivý, M. (2017). Virtual-reality technologies and smart environments in the process of disabled people education. In 2017 15th International Conference on Emerging eLearning Technologies and Applications. Vimal, P. P., & Kumbharana, C. K. (2016). Analysis of different examination patterns having question answer formulation, evaluation techniques and comparison of MCQ type with one word answer for automated online examination. International Journal of Scientific and Research Publications, 6(3). LoCKHewKFChenGToward a set of design principles for mathematics flipped classrooms: A synthesis of research in mathematics educationEducational Research Review2017225073 Tian, X., Risha, Z., Ahmed, I., Lekshmi Narayanan, A. B., & Biehl, J. (2021). Let's talk it out: A chatbot for effective study habit behavioral change. In Proceedings of the ACM on Human-Computer Interaction (pp.1–32). Amra, I. A. A., & Maghari, A. Y. (2017). Students performance prediction using KNN and Naïve Bayesian. In 2017 8th International Conference on Information Technology (pp. 909–913). Dimitriadou, E., & Lanitis, A. (2022b). Using student action recognition to enhance the efficiency of tele-education. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 543–549). Jensen, E., L. Pugh, S., & K. D'Mello, S. (2021). A deep transfer learning approach to modeling teacher discourse in the classroom. In LAK21: 11th International Learning Analytics and Knowledge Conference (pp. 302–312). WaheedHHassanSUAljohaniNRHardmanJAlelyaniSNawazRPredicting academic performance of students from VLE big data using deep learning modelsComputers in Human Behavior2020104106189 Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access. DryjanskiMBuczkowskiMOuld-Cheikh-MouhamedouYKliksAAdoption of smart cities with a practical smart building implementationIEEE Internet of Things Magazine2020315863 Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2021). Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educational Studies (pp. 1–19). GU, W. (2017). The Application of Virtual Reality in Education. DEStech Transactions on Computer Science and Engineering. OuyangXZhouJXiangHScreen mirroring is not as easy as it seems: A closer look at older adults’ cross-device experience through touch gesturesInternational Journal of Human-Computer Interaction2021371211731189 AlFarsi, G., Tawafak, R. M., ElDow, A., Malik, S. I., Jabbar, J., & Al Sideiri, A. (2021). Smart classroom technology in artificial intelligence: A review paper. In International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies (pp. 229–235). SrinivasanRGonzálezBSMThe role of empathy for artificial intelligence accountabilityJournal of Responsible Technology20229100021 Blessinger, P., & Wankel, C. (Eds.). (2013). Increasing student engagement and retention using classroom technologies: Classroom response systems and mediated discourse technologies. Blyth, C. (2018). Immersive technologies and language learning. Foreign Language Annals. LionoRAAmandaNPratiwiAGunawanAAA systematic literature review: Learning with visual by the help of augmented reality helps students learn betterProcedia Computer Science2021179144152 PotodeAManjarePE-learning using artificial intelligenceInternational Journal of Computer Science and Information Technology Research2015317882 Kollia, I., & Siolas, G. (2016). Using the IBM Watson cognitive system in educational contexts. In 2016 IEEE Symposium Series on Computational Intelligence (pp. 1–8). YoonSAElinichKWangJSteinmeierCTuckerSUsing augmented reality and knowledge-building scaffolds to improve learning in a science museumInternational Journal of Computer-Supported Collaborative Learning201274519541 Górski, F., Buń, P., Wichniarek, R., Zawadzki, P., & Hamrol, A. (2016). Effective design of educational virtual reality applications for medicine using knowledge-engineering techniques. EURASIA Journal of Mathematics, Science and Technology Education. PalanisamyPPaavizhiKSaravanakumarARTechno pedagogical skills for teaching-learning process in smart classTalent Development & Excellence202012149844994 Wang, R., Zhang, G., Zhang, F., Dong, Z., & Qi, M. (2021). Student Behavior Recognition in Remote Video Classrooms. In Advances in Intelligent Information Hiding and Multimedia Signal Processing (pp. 496–504). RashmiMAshwinTSGuddetiRMRSurveillance video analysis for student action recognition and localization inside computer laboratories of a smart campusMultimedia Tools and Applications202180229072929 Bhatia, M., & Kaur, A. (2021). Quantum computing inspired framework of student performance assessment in smart classroom. Transactions on Emerging Telecommunications Technologies, 32(9). El BeheiryMDoutreligneSCaporalCOstertagCDahanMMassonJBVirtual reality: Beyond visualizationJournal of Molecular Biology2019431713151321 Krüger, J. M., Buchholz, A., & Bodemer, D. (2019). Augmented reality in education: three unique characteristics from a user’s perspective. In Proc. 27th Int. Conf. on Comput. in Educ. KcDEvaluation of moodle features at kajaani university of applied sciences–case studyProcedia Computer Science2017116121128 Chong, M., Specia, L., & Mitkov, R. (2010). Using natural language processing for automatic detection of plagiarism. In Proceedings of the 4th International Plagiarism Conference. AugustoJCAmbient intelligence: Opportunities and consequences of its use in smart classroomsInnovation in Teaching and Learning in Information and Computer Sciences2009825363 QueirozACMFauvilleGHerreraFDa LemeMISBailensonJNDo students learn better with immersive virtual reality videos than conventional videos? A comparison of media effects with middle school girlsTechnology, Mind, and Behavior202210.1037/tmb0000082 HuangLSSuJYPaoTLA context aware smart classroom architecture for smart campusesApplied Sciences2019991837 SahlströmFTannerMValasmoVConnected youth, connected classrooms. Smartphone use and student and teacher participation during plenary teachingLearning, Culture and Social Interaction201921311331 AdamsJCHotropJBuilding an economical VR system for CS educationACM SIGCSE Bulletin2008403148152 JonesACastellanoGAdaptive robotic tutors that support self-regulated learning: A longer-term investigation with primary school childrenInternational Journal of Social Robotics2018103357370 BorensteinJHowardAEmerging challenges in AI and the need for AI ethics educationAI and Ethics2021116165 Archer, J., Cantrell, S., Holtzman, S. L., Joe, J. N., Tocci, C. M., & Wood, J. (2016). Better feedback for better teaching: A practical guide to improving classroom observations. ChenNSChengILChewSWEvolution is not enough: Revolutionizing current learning environments to smart learning environmentsInternational Journal of Artificial Intelligence in Education2016262561581 ParambilMMAAliLAlnajjarFGochooMSmart classroom: A deep learning approach towards attention assessment through class behavior detectionAdvances in Science and Engineering Technology International Conferences (ASET)202220221610.1109/ASET53988.2022.9735018 SadikuMNAshaoluTJAjayi-MajebiAMusaSMArtificial intelligence in educationInternational Journal of Scientific Advances202121511 ColaceFDe SantoMLombardiMPascaleFPietrosantoALemmaSChatbot for e-learning: A case of studyInternational Journal of Mechanical Engineering and Robotics Research201875528533 MirceaMStoicaMGhilic-MicuBInvestigating the impact of the internet of things in higher education environmentIEEE Access202193339633409 ColchesterKHagrasHAlghazzawiDAldabbaghGA survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platformsJournal of Artificial Intelligence and Soft Computing Research2017714764 Dünser, A., & Hornecker, E. (2007). Lessons from an AR book study. In Proceedings of the 1st international conference on Tangible and embedded interaction (pp. 179–182). WestDMThe future of work: X Chen (231_CR37) 2022; 25 231_CR105 231_CR108 231_CR102 CM Chen (231_CR35) 2012; 59 231_CR104 231_CR31 231_CR100 231_CR34 L Chamba-Eras (231_CR32) 2017; 12 231_CR25 231_CR27 231_CR28 L Ye (231_CR167) 2018; 32 W Johal (231_CR79) 2018; 10 DM West (231_CR163) 2018 MN Sadiku (231_CR133) 2021; 2 SP Balfour (231_CR15) 2013; 8 231_CR8 231_CR2 231_CR5 231_CR40 231_CR41 ACM Queiroz (231_CR129) 2022 231_CR42 LS Huang (231_CR73) 2019; 9 G Akçayır (231_CR7) 2018; 126 231_CR43 231_CR1 A Werner-Seidler (231_CR162) 2017; 51 231_CR38 231_CR39 I Dobre (231_CR51) 2015; 180 D Benta (231_CR19) 2015; 55 231_CR90 RA Liono (231_CR99) 2021; 179 231_CR127 231_CR91 SJ Lu (231_CR103) 2015; 21 231_CR93 231_CR124 231_CR95 231_CR126 231_CR96 231_CR125 231_CR97 231_CR10 H Beetham (231_CR16) 2013 231_CR98 T Michalsky (231_CR109) 2021; 16 231_CR12 JC Augusto (231_CR14) 2009; 8 231_CR121 Y Kong (231_CR92) 2022; 130 M Abdel-Basset (231_CR3) 2019; 31 A Potode (231_CR128) 2015; 3 J Kerr (231_CR88) 2020; 39 SA Yoon (231_CR168) 2012; 7 CW Chang (231_CR33) 2010; 55 J Borenstein (231_CR24) 2021; 1 D Kc (231_CR86) 2017; 116 HH Ip (231_CR75) 2018; 117 H Ishiguro (231_CR76) 2001; 28 J Mateu (231_CR107) 2015; 15 231_CR117 X Ouyang (231_CR120) 2021; 37 231_CR118 231_CR113 231_CR112 MY Ali (231_CR11) 2020; 8 231_CR20 A TS (231_CR154) 2020; 25 231_CR21 231_CR22 AZ Sampaio (231_CR138) 2010; 19 231_CR23 X Ouyang (231_CR119) 2019; 35 J Singh (231_CR142) 2019; 1228 231_CR13 K Colchester (231_CR45) 2017; 7 M El Beheiry (231_CR55) 2019; 431 MB Ibáñez (231_CR74) 2014; 71 231_CR17 S Mystakidis (231_CR115) 2022; 2 R Srinivasan (231_CR146) 2022; 9 S Cai (231_CR30) 2019; 50 M Bower (231_CR26) 2014; 51 TB Lau (231_CR94) 2014; 2 M Shiomi (231_CR141) 2015; 7 231_CR149 231_CR70 P Palanisamy (231_CR122) 2020; 12 231_CR72 231_CR145 231_CR148 231_CR147 231_CR77 231_CR144 231_CR78 231_CR143 231_CR68 G Hampel (231_CR66) 2014; 5 231_CR140 M Warschauer (231_CR160) 2008; 3 R Mintz (231_CR110) 2001; 20 M Weibel (231_CR161) 2020; 7 CA Díaz León (231_CR48) 2016; 26 M Dryjanski (231_CR52) 2020; 3 F Sahlström (231_CR134) 2019; 21 MK Saini (231_CR136) 2019; 52 231_CR81 231_CR82 231_CR83 231_CR84 231_CR137 231_CR85 O Mubin (231_CR114) 2013; 1 A Jones (231_CR80) 2018; 10 M Guttormsen (231_CR65) 2011; 648 F Burrack (231_CR29) 2021; 2 H Woo (231_CR164) 2021; 33 D Benta (231_CR18) 2014; 31 J Kennedy (231_CR87) 2015; 7 NS Chen (231_CR36) 2016; 26 T Hashimoto (231_CR69) 2011; 8 J Vega (231_CR156) 2019; 8 231_CR50 F Colace (231_CR44) 2018; 7 231_CR169 231_CR53 231_CR54 231_CR166 231_CR56 231_CR165 231_CR46 CK Sahu (231_CR135) 2021; 59 H Waheed (231_CR158) 2020; 104 231_CR49 NA Zulkifli (231_CR170) 2021; 1779 M Rashmi (231_CR130) 2021; 80 JC Adams (231_CR4) 2008; 40 CK Lo (231_CR101) 2017; 22 MMA Parambil (231_CR123) 2022; 2022 TJ Sejnowski (231_CR139) 2020; 117 231_CR60 231_CR157 231_CR61 231_CR62 J Martín-Gutiérrez (231_CR106) 2017; 13 231_CR159 231_CR63 M Mircea (231_CR111) 2021; 9 SF Alfalah (231_CR9) 2019; 23 231_CR64 231_CR153 LE Reeves (231_CR131) 2021; 29 231_CR152 231_CR155 RA Ahmed (231_CR6) 2015; 2 231_CR67 231_CR57 231_CR58 231_CR59 231_CR151 231_CR150 MM Rufai (231_CR132) 2015; 5 AS Helms (231_CR71) 2016; 25 B Ngoc Anh (231_CR116) 2019; 9 J Kim (231_CR89) 2022; 10 E Demitriadou (231_CR47) 2020; 25 |
| References_xml | – reference: Chowdhary, K. (2020). Natural language processing. Fundamentals of artificial intelligence. – reference: KimJShimJDevelopment of an AR-based AI education app for non-majorsIEEE Access2022101414914156 – reference: El BeheiryMDoutreligneSCaporalCOstertagCDahanMMassonJBVirtual reality: Beyond visualizationJournal of Molecular Biology2019431713151321 – reference: Salichs, M. A., Barber, R., Khamis, A. M., Malfaz, M., Gorostiza, J. F., Pacheco, R., Rivas, R., Corrales, A., Delgado, E., & Garcia, D. (2006). Maggie: A robotic platform for human-robot social interaction. In 2006 IEEE conference on robotics, automation and mechatronics (pp. 1–7) – reference: Brudy, F., Holz, C., Rädle, R., Wu, C. J., Houben, S., Klokmose, C. N., & Marquardt, N. (2019). Cross-device taxonomy: Survey, opportunities and challenges of interactions spanning across multiple devices. In Proceedings of the 2019 chi conference on human factors in computing systems (pp. 1–28). – reference: AliMYZhangXDHarun-Ar-RashidMStudent activities detection of SUST using YOLOv3 on deep learningIndonesian Journal of Electrical Engineering and Informatics202084757769 – reference: Poppinga, B., & Laue, T. (2019). JET-Net: Real-time object detection for mobile robots. In Robot World Cup (pp. 227–240). – reference: GU, W. (2017). The Application of Virtual Reality in Education. DEStech Transactions on Computer Science and Engineering. – reference: PalanisamyPPaavizhiKSaravanakumarARTechno pedagogical skills for teaching-learning process in smart classTalent Development & Excellence202012149844994 – reference: QueirozACMFauvilleGHerreraFDa LemeMISBailensonJNDo students learn better with immersive virtual reality videos than conventional videos? A comparison of media effects with middle school girlsTechnology, Mind, and Behavior202210.1037/tmb0000082 – reference: Dimitriadou, E., & Lanitis, A. (2022a). The role of artificial intelligence in smart classes: A survey. In 2022a IEEE 21st Mediterranean Electrotechnical Conference (pp. 642–647). – reference: LoCKHewKFChenGToward a set of design principles for mathematics flipped classrooms: A synthesis of research in mathematics educationEducational Research Review2017225073 – reference: ChenXZouDXieHChengGLiuCTwo decades of artificial intelligence in educationEducational Technology & Society20222512847 – reference: Durlach, P. J., & Lesgold, A. M. (2012). Adaptive technologies for training and education. – reference: Kaufmann, H., & Schmalstieg, D. (2002). Mathematics and geometry education with collaborative augmented reality. In ACM SIGGRAPH 2002 conference abstracts and applications. – reference: Manca, S., Caviglione, L., & Raffaghelli, J. (2016). Big data for social media learning analytics: potentials and challenges. Journal of e-Learning and Knowledge Society, 12(2). – reference: Billinghurst, M., Clark, A., & Lee, G. (2015). A survey of augmented reality. Foundations and Trends® in Human–Computer Interaction, 8(2–3), 73–272. – reference: Jensen, E., L. Pugh, S., & K. D'Mello, S. (2021). A deep transfer learning approach to modeling teacher discourse in the classroom. In LAK21: 11th International Learning Analytics and Knowledge Conference (pp. 302–312). – reference: IbáñezMBDi SerioÁVillaránDKloosCDExperimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectivenessComputers & Education201471113 – reference: Morrissey, K., & Kirakowski, J. (2013). ‘Realness’ in chatbots: establishing quantifiable criteria. In International conference on human-computer interaction (pp. 87–96). – reference: Thomas, C., & Jayagopi, D. B. (2017). Predicting student engagement in classrooms using facial behavioral cues. In Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for education (pp. 33–40). – reference: Moseley, S., & Ajani, T. (2015). USERS'PERCEPTIONS ON THE BRIGHTSPACE LEARNING MANAGEMENT SYSTEM. Issues in Information Systems, 16(4). – reference: Kasapakis, V., Gavalas, D., & Dzardanova, E. (2019). Mixed Reality. – reference: Li, C., Xing, W., & Leite, W. (2021). Using fair AI with debiased network embeddings to support help seeking in an online math learning platform. In International Conference on Artificial Intelligence in Education (pp. 245–250). – reference: AhmedRAOverview of different plagiarism detection toolsInternational Journal of Futuristic Trends in Engineering and Technology201521013 – reference: JohalWCastellanoGTanakaFOkitaSRobots for learningInternational Journal of Social Robotics2018103293294 – reference: Torres, D. R. (2011). Realidad Aumentada, educación y museos. Revista ICONO 14. Revista científica de Comunicación y Tecnologías emergentes, 9(2), 212–226. – reference: Blessinger, P., & Wankel, C. (Eds.). (2013). Increasing student engagement and retention using classroom technologies: Classroom response systems and mediated discourse technologies. – reference: HuangLSSuJYPaoTLA context aware smart classroom architecture for smart campusesApplied Sciences2019991837 – reference: ParambilMMAAliLAlnajjarFGochooMSmart classroom: A deep learning approach towards attention assessment through class behavior detectionAdvances in Science and Engineering Technology International Conferences (ASET)202220221610.1109/ASET53988.2022.9735018 – reference: Lee, J. H., Yang, H., Shin, D., & Kim, H. (2020). Chatbots. – reference: Mery, D., Mackenney, I., & Villalobos, E. (2019). Student attendance system in crowded classrooms using a smartphone camera. In 2019 IEEE Winter Conference on Applications of Computer Vision (pp. 857–866) – reference: ShiomiMKandaTHowleyIHayashiKHagitaNCan a social robot stimulate science curiosity in classrooms?International Journal of Social Robotics201575641652 – reference: Li, X., Wang, M., Zeng, W., & Lu, W. (2019). A students’ action recognition database in smart classroom. In 2019 14th International Conference on Computer Science & Education. – reference: BentaDBologaGDzitacSDzitacIUniversity level learning and teaching via e-learning platformsProcedia Computer Science20155513661373 – reference: Abbasy, M. B., & Quesada, E. V. (2017). Predictable influence of IoT in the higher education. International Journal of Information and Education Technology. – reference: Tolentino, L., Birchfield, D., & Kelliher, A. (2009). SMALLab for special needs: Using a mixed-reality platform to explore learning for children with autism. In Proceedings of the NSF Media Arts, Science and Technology Conference, Santa Barbara, CA, USA (pp. 29–30). – reference: BalfourSPAssessing writing in MOOCs: automated essay scoring and calibrated peer review™Research & Practice in Assessment201384048 – reference: Chintalapati, S., & Raghunadh, M. V. (2013). Automated attendance management system based on face recognition algorithms. In 2013 IEEE International conference on computational intelligence and computing research (pp. 1–5). – reference: BowerMHoweCMcCredieNRobinsonAGroverDAugmented Reality in education–cases, places and potentialsEducational Media International2014511115 – reference: WaheedHHassanSUAljohaniNRHardmanJAlelyaniSNawazRPredicting academic performance of students from VLE big data using deep learning modelsComputers in Human Behavior2020104106189 – reference: HampelGDancsházyKCreating a virtual learning environmentAgrárinformatika/journal of Agricultural Informatics2014514655 – reference: BeethamHSharpeHRethinking pedagogy for a digital age: Designing for 21st century learning Abingdon2013Routledge – reference: IpHHWongSWChanDFByrneJLiCYuanVSLauKSWongJYEnhance emotional and social adaptation skills for children with autism spectrum disorder: A virtual reality enabled approachComputers & Education2018117115 – reference: SejnowskiTJThe unreasonable effectiveness of deep learning in artificial intelligenceProceedings of the National Academy of Sciences2020117483003330038 – reference: Okita, S. Y., Ng-Thow-Hing, V., & Sarvadevabhatla, R. (2009). Learning together: ASIMO developing an interactive learning partnership with children. In RO-MAN 2009-The 18th IEEE International Symposium on Robot and Human Interactive Communication. – reference: Díaz LeónCAHincapié MontoyaEMGuirales ArredondoEAMoreno LópezGADesign and development of an interaction system in order to be implemented in a smart classroomRevista EIA20162695109 – reference: RashmiMAshwinTSGuddetiRMRSurveillance video analysis for student action recognition and localization inside computer laboratories of a smart campusMultimedia Tools and Applications202180229072929 – reference: Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J., & Smithers, K. (2019). Artificial intelligence and emerging technologies in schools. – reference: Sobota, B., Korečko, Š., Jacho, L., Pastornický, P., Hudák, M., & Sivý, M. (2017). Virtual-reality technologies and smart environments in the process of disabled people education. In 2017 15th International Conference on Emerging eLearning Technologies and Applications. – reference: Shan, S., & Liu, Y. (2021). Blended teaching design of college students’ mental health education course based on artificial intelligence flipped class. Mathematical Problems in Engineering, 2021. – reference: Yang, S., & Chen, L. (2011). A face and eye detection based feedback system for smart classroom. In Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology (Vol. 2, pp. 571–574). – reference: YeLWangPWangLFerdinandoHSeppänenTAlasaarelaEA combined motion-audio school bullying detection algorithmIntlernational Journal of Pattern Recognition and Artificial Intelligence201832121850046 – reference: Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access. – reference: Pakanati, D., Thanner, G., & Reddy, R. R. (2020). Design of College Chatbot using Amazon Web Services. – reference: Brady, M., Gerhardt, L. A., & Davidson, H. F. (2012). Robotics and artificial intelligence. – reference: PotodeAManjarePE-learning using artificial intelligenceInternational Journal of Computer Science and Information Technology Research2015317882 – reference: LauTBOngACPutraFANon-invasive monitoring of people with disabilities via motion detectionInternational Journal of Signal Processing Systems2014213741 – reference: Han, J., Jo, M., Park, S., & Kim, S. (2005). The educational use of home robots for children. In ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication (pp. 378–383). – reference: BentaDBologaGDzitacIE-learning platforms in higher education. Case StudyProcedia Computer Science20143111701176 – reference: ChangCWLeeJHWangCYChenGDImproving the authentic learning experience by integrating robots into the mixed-reality environmentComputers & Education201055415721578 – reference: KcDEvaluation of moodle features at kajaani university of applied sciences–case studyProcedia Computer Science2017116121128 – reference: WestDMThe future of work: Robots, AI, and automation2018Brookings Institution Press – reference: BurrackFThompsonDCanvas (LMS) as a means for effective student learning assessment across an institution of higher educationJournal of Assessment in Higher Education202121119 – reference: OuyangXZhouJXiangHScreen mirroring is not as easy as it seems: A closer look at older adults’ cross-device experience through touch gesturesInternational Journal of Human-Computer Interaction2021371211731189 – reference: DryjanskiMBuczkowskiMOuld-Cheikh-MouhamedouYKliksAAdoption of smart cities with a practical smart building implementationIEEE Internet of Things Magazine2020315863 – reference: Pereira, J. (2016). Leveraging chatbots to improve self-guided learning through conversational quizzes. In Proceedings of the fourth international conference on technological ecosystems for enhancing multiculturality (pp. 911–918). – reference: ReevesLEBoltonEBulpittMScottATomeyIGatesMBaldockRAUse of augmented reality (AR) to aid bioscience education and enrich student experienceResearch in Learning Technology2021292572 – reference: IshiguroHOnoTImaiMMaedaTKandaTNakatsuRRobovie: An interactive humanoid robotIndustrial Robot: An International Journal2001286498504 – reference: SampaioAZFerreiraMMRosárioDPMartinsOP3D and VR models in civil engineering education: Construction, rehabilitation and maintenanceAutomation in Construction2010197819828 – reference: Gutierrez, E. O. C., & De Troyer, O. (2014). SimBully: A'bullying in schools' simulation. – reference: MateuJLasalaMJAlamánXDeveloping mixed reality educational applications: The virtual touch toolkitSensors20151592176021784 – reference: Pham, T. V., Nguyen, A. T. T., Ngo, T. D., Le, D. H., Le, K. C., Nguyen, T. H., & Le, H. Q. (2020, November). Proposed smart university model as a sustainable living lab for university digital transformation. In 2020 5th International Conference on Green Technology and Sustainable Development (pp. 472–479) – reference: AkçayırGAkçayırMThe flipped classroom: A review of its advantages and challengesComputers & Education2018126334345 – reference: DobreILearning management systems for higher education-an overview of available options for higher education organizationsProcedia-Social and Behavioral Sciences2015180313320 – reference: LionoRAAmandaNPratiwiAGunawanAAA systematic literature review: Learning with visual by the help of augmented reality helps students learn betterProcedia Computer Science2021179144152 – reference: SrinivasanRGonzálezBSMThe role of empathy for artificial intelligence accountabilityJournal of Responsible Technology20229100021 – reference: Chowdhury, S., Nath, S., Dey, A., & Das, A. (2020). Development of an automatic class attendance system using cnn-based face recognition. In 2020 Emerging Technology in Computing, Communication and Electronics (pp. 1–5). – reference: Teja, S. V. (2020). Chatbot using deep learning. Academic Leadership-Online Journal. – reference: ChenNSChengILChewSWEvolution is not enough: Revolutionizing current learning environments to smart learning environmentsInternational Journal of Artificial Intelligence in Education2016262561581 – reference: KennedyJBaxterPBelpaemeTComparing robot embodiments in a guided discovery learning interaction with childrenInternational Journal of Social Robotics201572293308 – reference: Amra, I. A. A., & Maghari, A. Y. (2017). Students performance prediction using KNN and Naïve Bayesian. In 2017 8th International Conference on Information Technology (pp. 909–913). – reference: Fiore, A., Mainetti, L., & Vergallo, R. (2014). An innovative educational format based on a mixed reality environment: A case study and benefit evaluation. In International Conference on E-Learning, E-Education, and Online Training (pp. 93–100). – reference: Soares, N., Kay, J. C., & Craven, G. (2017). Mobile robotic telepresence solutions for the education of hospitalized children. Perspectives in Health Information Management, 14. – reference: AlFarsi, G., Tawafak, R. M., ElDow, A., Malik, S. I., Jabbar, J., & Al Sideiri, A. (2021). Smart classroom technology in artificial intelligence: A review paper. In International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies (pp. 229–235). – reference: Bourguet, M.-L., Jin, Y., Shi, Y., Chen, Y., Rincon-Ardila, L., & Venture, G. (2020). Social robots that can sense and improve student engagement. In 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 127–134. – reference: SahuCKYoungCRaiRArtificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: A reviewInternational Journal of Production Research2021591649034959 – reference: VegaJCañasJMOpen vision system for low-cost robotics educationElectronics20198111295 – reference: Blyth, C. (2018). Immersive technologies and language learning. Foreign Language Annals. – reference: ZulkifliNARozimelaYOnline applications to support remote classroom dialogue and assessmentJournal of Physics: Conference Series202117791012039 – reference: Archer, J., Cantrell, S., Holtzman, S. L., Joe, J. N., Tocci, C. M., & Wood, J. (2016). Better feedback for better teaching: A practical guide to improving classroom observations. – reference: WeibelMNielsenMKFTopperzerMKHammerNMMøllerSWSchmiegelowKBækgaard LarsenHBack to school with telepresence robot technology: A qualitative pilot study about how telepresence robots help school-aged children and adolescents with cancer to remain socially and academically connected with their school classes during treatmentNursing Open202074988997 – reference: Martín-GutiérrezJMoraCEAñorbe-DíazBGonzález-MarreroAVirtual technologies trends in educationEurasia Journal of Mathematics, Science and Technology Education2017132469486 – reference: OuyangXZhouJHow to help older adults move the focus on a smart TV? Exploring the effects of arrow hints and element size consistencyInternational Journal of Human-Computer Interaction2019351514201436 – reference: Vimal, P. P., & Kumbharana, C. K. (2016). Analysis of different examination patterns having question answer formulation, evaluation techniques and comparison of MCQ type with one word answer for automated online examination. International Journal of Scientific and Research Publications, 6(3). – reference: ChenCMTsaiYNInteractive augmented reality system for enhancing library instruction in elementary schoolsComputers & Education2012592638652 – reference: MirceaMStoicaMGhilic-MicuBInvestigating the impact of the internet of things in higher education environmentIEEE Access202193339633409 – reference: Chamba-ErasLAguilarJAugmented reality in a smart classroom—Case study: SaCIIEEE Revista Iberoamericana De Tecnologias Del Aprendizaje2017124165172 – reference: SainiMKGoelNHow smart are smart classrooms? A review of smart classroom technologiesACM Computing Surveys2019526128 – reference: SahlströmFTannerMValasmoVConnected youth, connected classrooms. Smartphone use and student and teacher participation during plenary teachingLearning, Culture and Social Interaction201921311331 – reference: HelmsASSchmiegelowKBrokJJohansenCThorsteinssonTSimovskaVLarsenHBFacilitation of school re-entry and peer acceptance of children with cancer: A review and meta-analysis of intervention studiesEuropean Journal of Cancer Care2016251170179 – reference: MintzRLitvakSYairY3D-virtual reality in science education: An implication for astronomy teachingJournal of Computers in Mathematics and Science Teaching2001203293305 – reference: Hsu, P. C., Wang, C. H., Liu, A. T., & Lee, H. Y. (2019). Towards robust neural vocoding for speech generation: A survey. – reference: BorensteinJHowardAEmerging challenges in AI and the need for AI ethics educationAI and Ethics2021116165 – reference: Lin, H., Xie, S., Xiao, Z., Deng, X., & Cai, K. (2019). Adaptive Recommender System for an Intelligent Classroom Teaching Model. International journal of emerging technologies in learning, 14(5). – reference: RufaiMMAlebiosuSOAdeakinOASA conceptual model for virtual classroom managementInternational Journal of Computer Science, Engineering and Information Technology2015512732 – reference: Have, H. & Neves, M. d. C. P. (2021). Emerging technologies. Dictionary of Global Bioethics. – reference: ColaceFDe SantoMLombardiMPascaleFPietrosantoALemmaSChatbot for e-learning: A case of studyInternational Journal of Mechanical Engineering and Robotics Research201875528533 – reference: Werner-SeidlerAPerryYCalearALNewbyJMChristensenHSchool-based depression and anxiety prevention programs for young people: A systematic review and meta-analysisClinical Psychology Review2017513047 – reference: Geramani, K., Mazzucato, A., Gaudiello, I., & Ioannidis, G. (2022). Artificial Intelligence in the secondary education: The paradigm of Edu4AI. In E Third Workshop on Technology Enhanced Learning Environments. – reference: SinghJJoesphMHJabbarKBARule-based chatbot for student enquiriesIn Journal of Physics: Conference Series201912281012060 – reference: Gupta, S. K., Ashwin, T. S., & Guddeti, R. M. R. (2018). Cvucams: Computer vision based unobtrusive classroom attendance management system. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (pp. 101–102). – reference: Knudsen, C. J., & Naeve, A. (2002). Presence production in a distributed shared virtual environment for exploring mathematics. In Advanced Computer Systems (pp. 149–159). – reference: Górski, F., Buń, P., Wichniarek, R., Zawadzki, P., & Hamrol, A. (2016). Effective design of educational virtual reality applications for medicine using knowledge-engineering techniques. EURASIA Journal of Mathematics, Science and Technology Education. – reference: Ben-Ari, M., & Mondada, F. (2018). Robots and their applications. In Elements of Robotics. – reference: Han, J., & Kim, D. (2009). r-Learning services for elementary school students with a teaching assistant robot. In 4th ACM/IEEE Intl Conf. on Human-Robot Interaction (pp. 255–256). – reference: KerrJLawsonGAugmented reality in design education: Landscape architecture studies as AR experienceInternational Journal of Art & Design Education2020391621 – reference: Agarwal, A., Naidu, V. R., & Al Mamari, R. (2019). A framework to enhance learning experience in flipped classroom based on student accountability towards active participation. EDULEARN19 Proceedings, 1, 1569-1577. – reference: KongYFuYHuman action recognition and prediction: A surveyInternational Journal of Computer Vision2022130513661401 – reference: Dascalu, M. I., Moldoveanu, A., & Shudayfat, E. A. (2014). Mixed reality to support new learning paradigms. In 2014 18th International Conferences on System Theory, Control and Computing (pp. 692–697). – reference: Kaviyaraj, R., & Uma, M. (2021). A Survey on Future of Augmented Reality with AI in Education. In 2021 International Conference on Artificial Intelligence and Smart Systems (pp. 47–52). – reference: SadikuMNAshaoluTJAjayi-MajebiAMusaSMArtificial intelligence in educationInternational Journal of Scientific Advances202121511 – reference: Causo, A., Vo, G. T., Chen, I., & Yeo, S. H. (2016). Design of robots used as education companion and tutor. In Robotics and mechatronics (pp. 75–84). – reference: Chowdhury, G.G. (2003). Natural Language Processing. Annual Review of Information Science and Technology. – reference: Loos, R. (2015). CoWriter: Children using robots to learn writing. Robotics Today, March, 8. – reference: JonesACastellanoGAdaptive robotic tutors that support self-regulated learning: A longer-term investigation with primary school childrenInternational Journal of Social Robotics2018103357370 – reference: Stavroulia, K. E., Ruiz-Harisiou, A., Manouchou, E., Georgiou, K., Sella, F., & Lanitis, A. (2016). A 3D virtual environment for training teachers to identify bullying. In 2016 18th Mediterranean Electrotechnical Conference (pp. 1–6). – reference: Lui, M., & Slotta, J. D. (2014). Immersive simulations for smart classrooms: exploring evolutionary concepts in secondary science. Technology, Pedagogy and Education. – reference: TSAGuddetiRMRAutomatic detection of students’ affective states in classroom environment using hybrid convolutional neural networksEducation and Information Technologies202025213871415 – reference: Parmar, D., Isaac, J., Babu, S. V., D'Souza, N., Leonard, A. E., Jörg, S., Gundersen, K. & Daily, S. B. (2016). Programming moves: Design and evaluation of applying embodied interaction in virtual environments to enhance computational thinking in middle school students. In 2016 IEEE Virtual Reality (VR) (pp. 131–140). – reference: DemitriadouEStavrouliaKELanitisAComparative evaluation of virtual and augmented reality for teaching mathematics in primary educationEducation and Information Technologies202025381401 – reference: MichalskyTIntegrating video analysis of teacher and student behaviors to promote Preservice teachers’ teaching meta-strategic knowledgeMetacognition and Learning2021163595622 – reference: AlfalahSFFalahJFAlfalahTElfalahMMuhaidatNFalahOA comparative study between a virtual reality heart anatomy system and traditional medical teaching modalitiesVirtual Reality2019233229234 – reference: Ellern, G. J. D., & Buchanan, H. E. (2018). No strings attached? Challenges and successes in creating a flexible, wire-free active learning classroom. Library Hi Tech. – reference: Osada, J., Ohnaka, S., & Sato, M. (2006). The scenario and design process of childcare robot, PaPeRo. In Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology (pp. 80-es). – reference: Tian, X., Risha, Z., Ahmed, I., Lekshmi Narayanan, A. B., & Biehl, J. (2021). Let's talk it out: A chatbot for effective study habit behavioral change. In Proceedings of the ACM on Human-Computer Interaction (pp.1–32). – reference: GuttormsenMBürgerAHansenTELietaerNThe SiRi particle-telescope systemNuclear Instruments and Methods in Physics Research Section a: Accelerators, Spectrometers, Detectors and Associated Equipment20116481168173 – reference: Timms, M. J. (2016). Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education. – reference: Guleria, P., & Sood, M. (2022). Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling. Education and Information Technologies, 1–36. – reference: Karri, S. P. R., & Kumar, B. S. (2020). Deep learning techniques for implementation of chatbots. In 2020 International Conference on Computer Communication and Informatics (pp. 1–5). – reference: LuSJLiuYCIntegrating augmented reality technology to enhance children’s learning in marine educationEnvironmental Education Research2015214525541 – reference: Krüger, J. M., Buchholz, A., & Bodemer, D. (2019). Augmented reality in education: three unique characteristics from a user’s perspective. In Proc. 27th Int. Conf. on Comput. in Educ. – reference: CaiSLiuEYangYLiangJCTablet-based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self-efficacyBritish Journal of Educational Technology2019501248263 – reference: Valdez, M. T., Ferreira, C. M., Martins, M. J. M., & Barbosa, F. M. (2015). 3D virtual reality experiments to promote electrical engineering education. In 2015 International Conference on Information Technology Based Higher Education and Training (pp. 1–4). – reference: Abd-Elaal, E. S., Gamage, S. H., & Mills, J. E. (2019). Artificial intelligence is a tool for cheating academic integrity. In 30th Annual Conference for the Australasian Association for Engineering Education, (pp. 397–403). – reference: Chong, M., Specia, L., & Mitkov, R. (2010). Using natural language processing for automatic detection of plagiarism. In Proceedings of the 4th International Plagiarism Conference. – reference: Liu, S., Chen, Y., Huang, H., Xiao, L., & Hei, X. (2018). Towards smart educational recommendations with reinforcement learning in classroom. In 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (pp. 1079–1084). – reference: ColchesterKHagrasHAlghazzawiDAldabbaghGA survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platformsJournal of Artificial Intelligence and Soft Computing Research2017714764 – reference: Kawaguchi, Y., Shoji, T., Lin, W., Kakusho, K., & Minoh, M. (2005). Face recognition-based lecture attendance system. In The 3rd AEARU workshop on network education (pp. 70–75). – reference: MubinOStevensCJShahidSAl MahmudADongJJA review of the applicability of robots in educationJournal of Technology in Education and Learning20131209–001513 – reference: Feil-Seifer, D., & Matarić, M. J. (2009). Toward socially assistive robotics for augmenting interventions for children with autism spectrum disorders. In Experimental robotics, (pp. 201–210). – reference: MystakidisSMetaverseEncyclopedia202221486497 – reference: WarschauerMGrimesDAutomated writing assessment in the classroomPedagogies: an International Journal2008312236 – reference: Wang, R., Zhang, G., Zhang, F., Dong, Z., & Qi, M. (2021). Student Behavior Recognition in Remote Video Classrooms. In Advances in Intelligent Information Hiding and Multimedia Signal Processing (pp. 496–504). – reference: Zhou, F., Duh, H. B. L., & Billinghurst, M. (2008). Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. In 2008 7th IEEE/ACM Intl. Symposium on Mixed and Augmented Reality (pp. 193–202). – reference: Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2021). Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educational Studies (pp. 1–19). – reference: YoonSAElinichKWangJSteinmeierCTuckerSUsing augmented reality and knowledge-building scaffolds to improve learning in a science museumInternational Journal of Computer-Supported Collaborative Learning201274519541 – reference: Kollia, I., & Siolas, G. (2016). Using the IBM Watson cognitive system in educational contexts. In 2016 IEEE Symposium Series on Computational Intelligence (pp. 1–8). – reference: Jensen, E., Dale, M., Donnelly, P. J., Stone, C., Kelly, S., Godley, A., & D'Mello, S. K. (2020). Toward automated feedback on teacher discourse to enhance teacher learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . – reference: Ngoc AnhBTung SonNTruong LamPPhuong ChiLHuu TuanNCong DatNHuu TrungNUmar AftabMVan DinhTA computer-vision based application for student behavior monitoring in classroomApplied Sciences20199224729 – reference: WooHLeTendreGKPham-ShouseTXiongYThe use of social robots in classrooms: A review of field-based studiesEducational Research Review202133100388 – reference: Alakärppä, I., Jaakkola, E., Väyrynen, J., & Häkkilä, J. (2017). Using nature elements in mobile AR for education with children. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1–13). – reference: Abdel-BassetMManogaranGMohamedMRushdyEInternet of things in smart education environment: Supportive framework in the decision-making processConcurrency and Computation: Practice and Experience20193110e4515 – reference: Dünser, A., & Hornecker, E. (2007). Lessons from an AR book study. In Proceedings of the 1st international conference on Tangible and embedded interaction (pp. 179–182). – reference: HashimotoTKatoNKobayashiHDevelopment of educational system with the android robot SAYA and evaluationIntl. Journal of Advanced Robotic Systems20118328 – reference: Dimitriadou, E., & Lanitis, A. (2022b). Using student action recognition to enhance the efficiency of tele-education. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 543–549). – reference: Wu, X., Yang, Y., Yu, X., & Zheng, C. (2020). Intelligent Classroom System Based on Internet of Things Technology. In International Conferences on Big Data Analytics for Cyber-Physical-Systems (pp. 610–616). – reference: Bhatia, M., & Kaur, A. (2021). Quantum computing inspired framework of student performance assessment in smart classroom. Transactions on Emerging Telecommunications Technologies, 32(9). – reference: AdamsJCHotropJBuilding an economical VR system for CS educationACM SIGCSE Bulletin2008403148152 – reference: AugustoJCAmbient intelligence: Opportunities and consequences of its use in smart classroomsInnovation in Teaching and Learning in Information and Computer Sciences2009825363 – ident: 231_CR17 doi: 10.1007/978-3-319-62533-1 – volume: 39 start-page: 6 issue: 1 year: 2020 ident: 231_CR88 publication-title: International Journal of Art & Design Education doi: 10.1111/jade.12227 – volume: 8 start-page: 53 issue: 2 year: 2009 ident: 231_CR14 publication-title: Innovation in Teaching and Learning in Information and Computer Sciences doi: 10.11120/ital.2009.08020053 – volume: 25 start-page: 28 issue: 1 year: 2022 ident: 231_CR37 publication-title: Educational Technology & Society – volume: 51 start-page: 30 year: 2017 ident: 231_CR162 publication-title: Clinical Psychology Review doi: 10.1016/j.cpr.2016.10.005 – ident: 231_CR157 – ident: 231_CR112 doi: 10.1007/978-3-642-39330-3_10 – volume: 16 start-page: 595 issue: 3 year: 2021 ident: 231_CR109 publication-title: Metacognition and Learning doi: 10.1007/s11409-020-09251-7 – ident: 231_CR137 doi: 10.1109/RAMECH.2006.252754 – ident: 231_CR144 doi: 10.1109/ICETA.2017.8102528 – volume: 104 start-page: 106189 year: 2020 ident: 231_CR158 publication-title: Computers in Human Behavior doi: 10.1016/j.chb.2019.106189 – ident: 231_CR58 doi: 10.1007/978-3-319-13293-8_12 – volume: 8 start-page: 40 year: 2013 ident: 231_CR15 publication-title: Research & Practice in Assessment – ident: 231_CR40 – volume: 52 start-page: 1 issue: 6 year: 2019 ident: 231_CR136 publication-title: ACM Computing Surveys doi: 10.1145/3365757 – ident: 231_CR1 doi: 10.18178/ijiet.2017.7.12.995 – ident: 231_CR126 doi: 10.1109/GTSD50082.2020.9303086 – volume: 28 start-page: 498 issue: 6 year: 2001 ident: 231_CR76 publication-title: Industrial Robot: An International Journal doi: 10.1108/01439910110410051 – volume: 179 start-page: 144 year: 2021 ident: 231_CR99 publication-title: Procedia Computer Science doi: 10.1016/j.procs.2020.12.019 – volume: 5 start-page: 27 issue: 1 year: 2015 ident: 231_CR132 publication-title: International Journal of Computer Science, Engineering and Information Technology doi: 10.5121/ijcseit.2015.5103 – volume: 26 start-page: 95 year: 2016 ident: 231_CR48 publication-title: Revista EIA – ident: 231_CR148 – ident: 231_CR25 doi: 10.1109/TALE48869.2020.9368438 – ident: 231_CR98 doi: 10.3991/ijet.v14i05.10251 – volume: 8 start-page: 757 issue: 4 year: 2020 ident: 231_CR11 publication-title: Indonesian Journal of Electrical Engineering and Informatics – ident: 231_CR50 doi: 10.1109/MELECON53508.2022.9843020 – ident: 231_CR54 doi: 10.1017/CBO9781139049580 – ident: 231_CR155 doi: 10.1109/ITHET.2015.7217957 – volume: 7 start-page: 988 issue: 4 year: 2020 ident: 231_CR161 publication-title: Nursing Open doi: 10.1002/nop2.471 – volume: 2 start-page: 37 issue: 1 year: 2014 ident: 231_CR94 publication-title: International Journal of Signal Processing Systems – ident: 231_CR152 – ident: 231_CR153 doi: 10.7195/ri14.v9i2.24 – ident: 231_CR5 doi: 10.21125/edulearn.2019.0464 – ident: 231_CR12 doi: 10.1109/ICITECH.2017.8079967 – ident: 231_CR149 doi: 10.1145/3139513.3139514 – volume: 8 start-page: 28 issue: 3 year: 2011 ident: 231_CR69 publication-title: Intl. Journal of Advanced Robotic Systems doi: 10.5772/10667 – volume: 9 start-page: 1837 issue: 9 year: 2019 ident: 231_CR73 publication-title: Applied Sciences doi: 10.3390/app9091837 – volume: 13 start-page: 469 issue: 2 year: 2017 ident: 231_CR106 publication-title: Eurasia Journal of Mathematics, Science and Technology Education doi: 10.12973/eurasia.2017.00630a – ident: 231_CR13 – volume: 7 start-page: 641 issue: 5 year: 2015 ident: 231_CR141 publication-title: International Journal of Social Robotics doi: 10.1007/s12369-015-0303-1 – ident: 231_CR72 – volume: 35 start-page: 1420 issue: 15 year: 2019 ident: 231_CR119 publication-title: International Journal of Human-Computer Interaction doi: 10.1080/10447318.2018.1534346 – volume: 117 start-page: 1 year: 2018 ident: 231_CR75 publication-title: Computers & Education doi: 10.1016/j.compedu.2017.09.010 – ident: 231_CR145 – volume: 40 start-page: 148 issue: 3 year: 2008 ident: 231_CR4 publication-title: ACM SIGCSE Bulletin doi: 10.1145/1597849.1384312 – volume: 21 start-page: 311 year: 2019 ident: 231_CR134 publication-title: Learning, Culture and Social Interaction doi: 10.1016/j.lcsi.2019.03.008 – volume: 431 start-page: 1315 issue: 7 year: 2019 ident: 231_CR55 publication-title: Journal of Molecular Biology doi: 10.1016/j.jmb.2019.01.033 – ident: 231_CR59 – ident: 231_CR43 doi: 10.1109/ETCCE51779.2020.9350904 – ident: 231_CR27 – volume: 25 start-page: 381 year: 2020 ident: 231_CR47 publication-title: Education and Information Technologies doi: 10.1007/s10639-019-09973-5 – ident: 231_CR8 doi: 10.1145/3098279.3098547 – volume: 117 start-page: 30033 issue: 48 year: 2020 ident: 231_CR139 publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.1907373117 – ident: 231_CR38 doi: 10.1109/ICCIC.2013.6724266 – ident: 231_CR84 doi: 10.1109/ICAIS50930.2021.9395838 – ident: 231_CR81 – ident: 231_CR113 – volume: 9 start-page: 4729 issue: 22 year: 2019 ident: 231_CR116 publication-title: Applied Sciences doi: 10.3390/app9224729 – ident: 231_CR62 doi: 10.1007/s10639-022-11221-2 – volume: 9 start-page: 33396 year: 2021 ident: 231_CR111 publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3060964 – volume-title: The future of work: Robots, AI, and automation year: 2018 ident: 231_CR163 – ident: 231_CR2 – ident: 231_CR49 doi: 10.5220/0010868200003124 – ident: 231_CR118 doi: 10.1145/1178823.1178930 – volume: 3 start-page: 58 issue: 1 year: 2020 ident: 231_CR52 publication-title: IEEE Internet of Things Magazine doi: 10.1109/IOTM.0001.1900050 – volume: 2 start-page: 1 issue: 1 year: 2021 ident: 231_CR29 publication-title: Journal of Assessment in Higher Education doi: 10.32473/jahe.v2i1.125129 – volume: 10 start-page: 14149 year: 2022 ident: 231_CR89 publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3145355 – ident: 231_CR102 – volume: 59 start-page: 4903 issue: 16 year: 2021 ident: 231_CR135 publication-title: International Journal of Production Research doi: 10.1080/00207543.2020.1859636 – volume: 32 start-page: 1850046 issue: 12 year: 2018 ident: 231_CR167 publication-title: Intlernational Journal of Pattern Recognition and Artificial Intelligence doi: 10.1142/S0218001418500465 – volume: 7 start-page: 528 issue: 5 year: 2018 ident: 231_CR44 publication-title: International Journal of Mechanical Engineering and Robotics Research doi: 10.18178/ijmerr.7.5.528-533 – volume: 25 start-page: 170 issue: 1 year: 2016 ident: 231_CR71 publication-title: European Journal of Cancer Care doi: 10.1111/ecc.12230 – ident: 231_CR108 doi: 10.1109/WACV.2019.00096 – volume: 180 start-page: 313 year: 2015 ident: 231_CR51 publication-title: Procedia-Social and Behavioral Sciences doi: 10.1016/j.sbspro.2015.02.122 – volume: 126 start-page: 334 year: 2018 ident: 231_CR7 publication-title: Computers & Education doi: 10.1016/j.compedu.2018.07.021 – ident: 231_CR22 – volume: 55 start-page: 1366 year: 2015 ident: 231_CR19 publication-title: Procedia Computer Science doi: 10.1016/j.procs.2015.07.123 – volume: 55 start-page: 1572 issue: 4 year: 2010 ident: 231_CR33 publication-title: Computers & Education doi: 10.1016/j.compedu.2010.06.023 – volume: 130 start-page: 1366 issue: 5 year: 2022 ident: 231_CR92 publication-title: International Journal of Computer Vision doi: 10.1007/s11263-022-01594-9 – ident: 231_CR147 doi: 10.1109/MELCON.2016.7495417 – volume-title: Rethinking pedagogy for a digital age: Designing for 21st century learning Abingdon year: 2013 ident: 231_CR16 doi: 10.4324/9780203078952 – volume: 2 start-page: 5 issue: 1 year: 2021 ident: 231_CR133 publication-title: International Journal of Scientific Advances – ident: 231_CR70 – ident: 231_CR95 doi: 10.1093/elt/ccaa035 – volume: 51 start-page: 1 issue: 1 year: 2014 ident: 231_CR26 publication-title: Educational Media International doi: 10.1080/09523987.2014.889400 – volume: 59 start-page: 638 issue: 2 year: 2012 ident: 231_CR35 publication-title: Computers & Education doi: 10.1016/j.compedu.2012.03.001 – ident: 231_CR165 doi: 10.1007/978-981-33-4572-0_88 – ident: 231_CR41 doi: 10.1007/978-81-322-3972-7 – ident: 231_CR105 – volume: 31 start-page: 1170 year: 2014 ident: 231_CR18 publication-title: Procedia Computer Science doi: 10.1016/j.procs.2014.05.373 – volume: 12 start-page: 165 issue: 4 year: 2017 ident: 231_CR32 publication-title: IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje doi: 10.1109/RITA.2017.2776419 – ident: 231_CR42 doi: 10.1002/aris.1440370103 – ident: 231_CR159 doi: 10.1007/978-981-33-6757-9_61 – volume: 71 start-page: 1 year: 2014 ident: 231_CR74 publication-title: Computers & Education doi: 10.1016/j.compedu.2013.09.004 – ident: 231_CR20 doi: 10.1002/ett.4094 – ident: 231_CR64 – ident: 231_CR140 doi: 10.1155/2021/6679732 – ident: 231_CR67 – volume: 8 start-page: 1295 issue: 11 year: 2019 ident: 231_CR156 publication-title: Electronics doi: 10.3390/electronics8111295 – volume: 3 start-page: 22 issue: 1 year: 2008 ident: 231_CR160 publication-title: Pedagogies: an International Journal doi: 10.1080/15544800701771580 – ident: 231_CR68 doi: 10.1145/1514095.1514163 – ident: 231_CR78 doi: 10.1145/3448139.3448168 – volume: 37 start-page: 1173 issue: 12 year: 2021 ident: 231_CR120 publication-title: International Journal of Human-Computer Interaction doi: 10.1080/10447318.2020.1870830 – volume: 3 start-page: 78 issue: 1 year: 2015 ident: 231_CR128 publication-title: International Journal of Computer Science and Information Technology Research – ident: 231_CR90 doi: 10.1007/978-1-4419-8530-9_13 – ident: 231_CR121 – volume: 20 start-page: 293 issue: 3 year: 2001 ident: 231_CR110 publication-title: Journal of Computers in Mathematics and Science Teaching – ident: 231_CR151 doi: 10.1007/s40593-016-0095-y – ident: 231_CR104 doi: 10.1080/1475939X.2013.838452 – ident: 231_CR53 doi: 10.1145/1226969.1227006 – volume: 23 start-page: 229 issue: 3 year: 2019 ident: 231_CR9 publication-title: Virtual Reality doi: 10.1007/s10055-018-0359-y – ident: 231_CR34 doi: 10.1109/ACCESS.2020.2988510 – volume: 50 start-page: 248 issue: 1 year: 2019 ident: 231_CR30 publication-title: British Journal of Educational Technology doi: 10.1111/bjet.12718 – ident: 231_CR96 doi: 10.1109/ICCSE.2019.8845330 – volume: 648 start-page: 168 issue: 1 year: 2011 ident: 231_CR65 publication-title: Nuclear Instruments and Methods in Physics Research Section a: Accelerators, Spectrometers, Detectors and Associated Equipment doi: 10.1016/j.nima.2011.05.055 – volume: 9 start-page: 100021 year: 2022 ident: 231_CR146 publication-title: Journal of Responsible Technology doi: 10.1016/j.jrt.2021.100021 – ident: 231_CR100 doi: 10.1109/TALE.2018.8615217 – volume: 22 start-page: 50 year: 2017 ident: 231_CR101 publication-title: Educational Research Review doi: 10.1016/j.edurev.2017.08.002 – ident: 231_CR127 doi: 10.1007/978-3-030-35699-6_18 – ident: 231_CR60 doi: 10.12973/eurasia.2017.00623a – volume: 10 start-page: 357 issue: 3 year: 2018 ident: 231_CR80 publication-title: International Journal of Social Robotics doi: 10.1007/s12369-017-0458-z – ident: 231_CR93 – volume: 12 start-page: 4984 issue: 1 year: 2020 ident: 231_CR122 publication-title: Talent Development & Excellence – volume: 1 start-page: 13 issue: 209–0015 year: 2013 ident: 231_CR114 publication-title: Journal of Technology in Education and Learning – ident: 231_CR117 doi: 10.1109/ROMAN.2009.5326135 – ident: 231_CR166 doi: 10.1109/EMEIT.2011.6023166 – volume: 7 start-page: 47 issue: 1 year: 2017 ident: 231_CR45 publication-title: Journal of Artificial Intelligence and Soft Computing Research doi: 10.1515/jaiscr-2017-0004 – volume: 116 start-page: 121 year: 2017 ident: 231_CR86 publication-title: Procedia Computer Science doi: 10.1016/j.procs.2017.10.021 – volume: 33 start-page: 100388 year: 2021 ident: 231_CR164 publication-title: Educational Research Review doi: 10.1016/j.edurev.2021.100388 – volume: 5 start-page: 46 issue: 1 year: 2014 ident: 231_CR66 publication-title: Agrárinformatika/journal of Agricultural Informatics – volume: 2022 start-page: 1 year: 2022 ident: 231_CR123 publication-title: Advances in Science and Engineering Technology International Conferences (ASET) doi: 10.1109/ASET53988.2022.9735018 – volume: 1779 start-page: 012039 issue: 1 year: 2021 ident: 231_CR170 publication-title: Journal of Physics: Conference Series – ident: 231_CR85 – ident: 231_CR124 doi: 10.1109/VR.2016.7504696 – ident: 231_CR28 doi: 10.1145/3290605.3300792 – ident: 231_CR63 doi: 10.1109/ICALT.2018.00131 – volume: 2 start-page: 486 issue: 1 year: 2022 ident: 231_CR115 publication-title: Encyclopedia doi: 10.3390/encyclopedia2010031 – ident: 231_CR46 doi: 10.1109/ICSTCC.2014.6982498 – volume: 10 start-page: 293 issue: 3 year: 2018 ident: 231_CR79 publication-title: International Journal of Social Robotics doi: 10.1007/s12369-018-0481-8 – ident: 231_CR169 doi: 10.1109/ISMAR.2008.4637362 – ident: 231_CR21 doi: 10.1561/1100000049 – ident: 231_CR61 doi: 10.12783/dtcse/aiea2017/14922 – volume: 80 start-page: 2907 issue: 2 year: 2021 ident: 231_CR130 publication-title: Multimedia Tools and Applications doi: 10.1007/s11042-020-09741-5 – ident: 231_CR91 doi: 10.1109/SSCI.2016.7849999 – volume: 19 start-page: 819 issue: 7 year: 2010 ident: 231_CR138 publication-title: Automation in Construction doi: 10.1016/j.autcon.2010.05.006 – volume: 31 start-page: e4515 issue: 10 year: 2019 ident: 231_CR3 publication-title: Concurrency and Computation: Practice and Experience doi: 10.1002/cpe.4515 – volume: 7 start-page: 519 issue: 4 year: 2012 ident: 231_CR168 publication-title: International Journal of Computer-Supported Collaborative Learning doi: 10.1007/s11412-012-9156-x – volume: 26 start-page: 561 issue: 2 year: 2016 ident: 231_CR36 publication-title: International Journal of Artificial Intelligence in Education doi: 10.1007/s40593-016-0108-x – ident: 231_CR97 doi: 10.1007/978-3-030-78270-2_44 – volume: 15 start-page: 21760 issue: 9 year: 2015 ident: 231_CR107 publication-title: Sensors doi: 10.3390/s150921760 – ident: 231_CR31 doi: 10.1007/978-3-319-22368-1_8 – ident: 231_CR39 doi: 10.1080/03055698.2020.1850426 – ident: 231_CR77 doi: 10.1145/3313831.3376418 – ident: 231_CR56 doi: 10.1108/LHT-04-2017-0070 – volume: 1228 start-page: 012060 issue: 1 year: 2019 ident: 231_CR142 publication-title: In Journal of Physics: Conference Series – ident: 231_CR125 doi: 10.1145/3012430.3012625 – volume: 1 start-page: 61 issue: 1 year: 2021 ident: 231_CR24 publication-title: AI and Ethics doi: 10.1007/s43681-020-00002-7 – ident: 231_CR82 doi: 10.1007/978-3-319-08234-9_205-1 – ident: 231_CR150 doi: 10.1145/3449171 – volume: 25 start-page: 1387 issue: 2 year: 2020 ident: 231_CR154 publication-title: Education and Information Technologies doi: 10.1007/s10639-019-10004-6 – ident: 231_CR57 doi: 10.1007/978-3-642-00196-3_24 – volume: 29 start-page: 2572 year: 2021 ident: 231_CR131 publication-title: Research in Learning Technology doi: 10.25304/rlt.v29.2572 – ident: 231_CR83 doi: 10.1145/1242073.1242086 – volume: 2 start-page: 1 issue: 10 year: 2015 ident: 231_CR6 publication-title: International Journal of Futuristic Trends in Engineering and Technology – ident: 231_CR23 doi: 10.1111/flan.12327 – volume: 7 start-page: 293 issue: 2 year: 2015 ident: 231_CR87 publication-title: International Journal of Social Robotics doi: 10.1007/s12369-014-0277-4 – ident: 231_CR143 – ident: 231_CR10 doi: 10.5220/0010306502290235 – year: 2022 ident: 231_CR129 publication-title: Technology, Mind, and Behavior doi: 10.1037/tmb0000082 – volume: 21 start-page: 525 issue: 4 year: 2015 ident: 231_CR103 publication-title: Environmental Education Research doi: 10.1080/13504622.2014.911247 |
| SSID | ssj0001916359 |
| Score | 2.5028543 |
| SecondaryResourceType | review_article |
| Snippet | The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in... Abstract The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid... |
| SourceID | doaj pubmedcentral proquest pubmed eric crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 12 |
| SubjectTerms | Artificial Intelligence Automation Classroom Environment Classroom Techniques Classrooms Computers and Education Education Educational Media Educational Technology Emerging technologies Instructional aids Literature reviews New technology Performance assessment Performance Based Assessment Program Evaluation Review Smart classroom Smart environment SWOT analysis Technology Integration Technology Uses in Education |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQT1wQr0KgICNxY61m_Ep8LKhV1QMnKvVmxS-oBNmKbH9E_zVj57G7RcCF4yaeaD0z1nxjj78h5D1IJyDVknEXI5MBgLUBf5roheMQI6TC9vlZn1_Kiyt1tdPqK9eEjfTAo-KOVee91p6rNnmJ2bfhGBSNhMAD-NQU9lKMeTvJVNldQdQjlJlvybT6eJAZKzMMUSzHKWBiLxIVwv77Nc87YPP3msl7B6clHp09Jo8mIElPxgk8IQ9i_zT3YJ7qNZ6RuxPqpz4GdMvpvaJ-bp8yrGjXBzqyitCb7a3Lga4TzQXxX2nWz8gxQa93yDuLYL5anFsc0c28PY9ZNw6jww8Uo37G5cNzcnl2-uXTOZsaLzCP-dmGNalxOtS1Eyo2LrTQBd1xSAbNGpu8Z2SM51651CIAUxFMdHXiyikXMH0J4pAc9Os-viS062SqI3idEAc0gbukkoldCq7VtU-iIjAbwfqJlTw3x_huS3bSajsazqLNbDGcRZkPi8zNyMnx19Efs22XkZlPuzxAL7OTl9l_eVlFDrNnLB85vQChpWmgIkezr9hp9Q82H94KJVBdFXm3vMZ1mw9juj6ubwcrOHoowj3JK_JidK3l6zJTJoFE6WbP6fbmsP-mv_5WuMERXKACcNKr2T23f-vPOnr1P3T0mjzkZXnl_akjcrD5eRvfIGLbuLdlcf4CL9w8mg priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagvXBBvAqBgozEjbUaPxOfUIu2qnqoEKJSb1b8KpVosjTbH8G_Zpw42W4RPSbxRHFmbH8zHn-D0CcqLKexFITZEIjwlJLaw6UOjltGQ6BxYPs8Uyfn4vRCXuSAW5_TKqc5cZiofedSjPwgbYhxyTWnX1a_SaoalXZXcwmNx2gXpuAanK_do-XZt--bKAugHy71dFqmVge9SJiZwFJF0npFCd9akQbi_vu5z3dA57-5k_c2UId16fgZepoBJT4cLeA5ehTaF6kWc87beIn-HGKX6xngDbf3ArupjEq_wE3r8cgugleb05c97iJOifGXOBnYyDWBr-6QeA6C6YhxKnWE11OYHrxvaIb7axDDbsLn_St0frz88fWE5AIMxIGftiZVrKzyZWm5DJX1NW28ahiNoIQYqhQ70toxJ22sAYjJQHWwZWTSSuvBjfF8D-20XRveINw0IpaBOhUBD1Se2SijDk30tlali7xAdFKCcZmdPBXJ-GUGL6VWZlScAZ2ZQXEGZD7PMquRm-PB1kdJt3PLxKs93OhuLk0epkY2zinlmKyjE5oDeAQIpgX1zFMXK1mgvWQZ80uWp5QroStaoP3JVkyeBXqzsdkCfZwfw_hNmzJNG7rb3nAGFgqwT7ACvR5Na367SNRJVIB0tWV0W33YftJe_Rw4wgFkwA-ATi8m89x81v__0duHe_EOPWHDwEkRqH20s765De8Bk63thzzw_gJ3uTYf priority: 102 providerName: ProQuest |
| Title | A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms |
| URI | https://link.springer.com/article/10.1186/s40561-023-00231-3 http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1364971 https://www.ncbi.nlm.nih.gov/pubmed/40478141 https://www.proquest.com/docview/2890353931 https://www.proquest.com/docview/3216366342 https://pubmed.ncbi.nlm.nih.gov/PMC9900563 https://doaj.org/article/5acc66c258fc493392071941d2d1cf75 |
| Volume | 10 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LbxMxELZoe-GCeBUWSmQkbmTF-rnrYxolVDlUCKjUm7V-lUqwqbrpj-i_7tj7SFMeEpdEyXpWWc9M_M14_A1CHwg3jISC59R4n3NHSF45-Ki8ZYYS70lIbJ-n8uSMr87FeX8orB2q3YctyfRPndy6kp9aHsFuDmtMHhcakrM9dCAgdo92Pe_POKTMCiAeJtRwQuaPojurUCLrf1jvfA9o_l4v-WDTNK1Fy6foSQ8i8azT-jP0yDfPY__lvlbjBbqdYdv3MMBbPu8ptkPrlHaK68bhjlEEX21PXLZ4HXAshr_A0ag6fgl8eY-4MwnGY8WxvRHeDKl5iLhhGG5_gRi2AyZvX6Kz5eL7_CTvmy7kFmKzTV6G0khXFIYJXxpXkdrJmpKgQKW-jPkipSy1woQKwJfwRHlTBCqMMA5CF8cO0X6zbvxrhOuah8ITKwNggNJRE0RQvg7OVLKwgWWIDErQtmckj40xfuoUmVRSd4rToDOdFKdB5uMoc9Xxcfxz9HHU7TgycmmnL9bXF7p3TS1qa6W0VFTBcsUAMALsUpw46ogNpcjQYbSM8SaLFWGSq5Jk6GiwFd17fqvjxi0TDKYrQ-_Hy-CzcSOmbvz6ptWMgoUC1OM0Q6860xrvziNdEuEgXe4Y3c4z7F5pLn8kXnAAFjAB8NDTwTy3P-vvc_Tm_4a_RY9pcqSYhTpC-5vrG_8OcNnGTNBetfw8QQez2erbCt6PF6dfvk6Sc8ZXOZ-kjMck5SjuAA9tODQ |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKOcAF8SpsKWAkOLFR41cSHxAq0GX7oKdW6s3Er1KJZpdmK8RP4M_wGxk7r24RvfW4icdaZx7-xjOeQeg14ZoRn_KEaucSbglJCgs_pTNMU-Ic8bHa50E2PeK7x-J4Bf3p7sKEtMrOJkZDbWcmnJFvhoAYE0wy8n7-Iwldo0J0tWuh0YjFnvv1E1y2-t3OJ-DvG0on24cfp0nbVSAx4HwsktznOrNpqplwubYFKW1WUuJhZu_ycCAipaFGaF8AuhCOSKdTT4UW2gI2twzmvYVuc8Zk0Khi8nk40wGsxYTs7uYU2WbNA0JPYGNMwu5IEra0_8U2AVczrS9B3H8zNa-Ea-MuOLmP7rXwFW818vYArbjqYej83GaJPEK_t7BpuyfgoZL4GJuuaUs9xmVlcVPLBM-Hu541nnkc0vBPcBDnprIFPr1UMjQShgvNobESXnRBAfD1YRiuz4AMm84bqB-joxthzBparWaVe4pwWXKfOmIyD-gjt1R74aUrvdVFlhrPRoh0TFCmrYUeWnJ8V9EnKjLVME4Bz1RknAKatz3NvKkEcu3oD4G3_chQxTs-mJ2fqNYoKFEak2WGisIbLkGgKAA-yYmllhifixFaC5LRT7K9S1jGZU5GaKOTFdXanFoNGjJCr_rXYC1CCKis3OyiVoyChALI5HSEnjSi1c_OQ6EmwoE6XxK6pTUsv6lOv8WK5ABp4APAosedeA5_6__faP36VbxEd6aHX_bV_s7B3jN0l0YlCmdfG2h1cX7hngMaXOgXUQUx-nrTOv8XmQtx1Q |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwELagSIgL4lUIFDASNzZq_Ex8LEtXpaCKA5V6s-JXqQTZVZP-iP7rjp3H7paHxHETT7TxzMTf2DPfIPSecMNIKHhOjfc5d4TklYOfyltmKPGehMT2eSKPTvnxmTjbqOJP2e7jkWRf0xBZmppuf-VC7-KV3G95BL45rDd5XHRIzu6iexCppIPauZyvd1ngEhNqrJb5o-jWipSI-2_nPm-Azt9zJ28doKZ1afEIPRwAJT7oLeAxuuObJ7EX85C38RRdH2A79DPAa27vGbZjG5V2huvG4Z5dBK_W1ZctXgYcE-PPcTSwnmsCX2yQeCbBWGIcWx3hbtymh-gbhuH2F4hhO-Lz9hk6XRx-nx_lQwOG3EKc1uVlKI10RWGY8KVxFamdrCkJCtTry7h3pJSlVphQARATnihvikCFEcZBGOPYLtpplo1_gXBd81B4YmUAPFA6aoIIytfBmUoWNrAMkVEJ2g7s5LFJxk-dopRK6l5xGnSmk-I0yHyYZFY9N8c_R3-Mup1GRl7tdGF5ea4HN9WitlZKS0UVLFcMwCNAMMWJo47YUIoM7UbLmB5yeEyY5KokGdobbUUPX4FWx0NcJhhMV4beTbfBf-OhTN345VWrGQULBdjHaYae96Y1PZ1H6iTCQbrcMrqtd9i-01z8SBzhADJgAuClZ6N5rv_W3-fo5f8Nf4vuf_u00F8_n3x5hR7Q5FNxc2oP7XSXV_41wLXOvEkeeQPDYTit |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+critical+evaluation%2C+challenges%2C+and+future+perspectives+of+using+artificial+intelligence+and+emerging+technologies+in+smart+classrooms&rft.jtitle=Smart+learning+environments&rft.au=Dimitriadou%2C+Eleni&rft.au=Lanitis%2C+Andreas&rft.date=2023-01-01&rft.pub=Springer+Nature+Singapore&rft.eissn=2196-7091&rft.volume=10&rft.issue=1&rft_id=info:doi/10.1186%2Fs40561-023-00231-3&rft.externalDocID=10_1186_s40561_023_00231_3 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2196-7091&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2196-7091&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2196-7091&client=summon |