Students’ voices on generative AI: perceptions, benefits, and challenges in higher education

This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate student...

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Bibliographic Details
Published inInternational Journal of Educational Technology in Higher Education Vol. 20; no. 1; pp. 1 - 18
Main Authors Chan, Cecilia Ka Yuk, Hu, Wenjie
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2023
BioMed Central, Ltd
Springer Nature B.V
SpringerOpen
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Abstract This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs’ 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students’ perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students’ perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education. Highlights This study focuses on the integration of generative AI (GenAI) technologies, like ChatGPT, into higher education settings. University students’ perceptions of generative AI technologies in higher education were explored, including familiarity, potential benefits, and challenges. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Insights from this study can inform policy development around the integration of GenAI technologies into higher education, helping to create well-informed guidelines and strategies for responsible and effective implementation.
AbstractList Abstract This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs’ 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students’ perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students’ perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs' 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students' perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students' perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.
This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs’ 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students’ perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students’ perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education. Highlights This study focuses on the integration of generative AI (GenAI) technologies, like ChatGPT, into higher education settings. University students’ perceptions of generative AI technologies in higher education were explored, including familiarity, potential benefits, and challenges. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Insights from this study can inform policy development around the integration of GenAI technologies into higher education, helping to create well-informed guidelines and strategies for responsible and effective implementation.
This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs’ 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students’ perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students’ perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.HighlightsThis study focuses on the integration of generative AI (GenAI) technologies, like ChatGPT, into higher education settings.University students’ perceptions of generative AI technologies in higher education were explored, including familiarity, potential benefits, and challenges.A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning.Insights from this study can inform policy development around the integration of GenAI technologies into higher education, helping to create well-informed guidelines and strategies for responsible and effective implementation.
ArticleNumber 43
Audience Higher Education
Postsecondary Education
Author Hu, Wenjie
Chan, Cecilia Ka Yuk
Author_xml – sequence: 1
  givenname: Cecilia Ka Yuk
  orcidid: 0000-0001-6984-6360
  surname: Chan
  fullname: Chan, Cecilia Ka Yuk
  email: Cecilia.Chan@cetl.hku.hk
  organization: University of Hong Kong
– sequence: 2
  givenname: Wenjie
  surname: Hu
  fullname: Hu, Wenjie
  organization: University of Hong Kong
BackLink http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1384612$$DView record in ERIC
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Cites_doi 10.1259/bjro.20200037
10.2307/249008
10.1002/jdd.12385
10.1007/s10639-022-11149-7
10.30935/cedtech/13152
10.1016/j.caeai.2022.100055
10.3390/su10093066
10.3390/healthcare10040723
10.1080/17521882.2022.2094278
10.1038/d41586-023-00288-7
10.1108/ITSE-08-2020-0170
10.1007/s11423-022-10142-8
10.1007/s00146-021-01168-2
10.1080/0729436990180105
10.1148/radiol.230171
10.1007/s12528-022-09338-x
10.1177/09504222221087614
10.1016/j.arthro.2023.01.015
10.1016/j.ijresmar.2023.03.001
10.1007/s12262-023-03727-x
10.1016/j.acra.2018.10.007
10.1080/0969594032000148154
10.1186/s13244-019-0830-7
10.1007/s10639-021-10542-y
10.1067/j.cpradiol.2020.06.011
10.5530/bems.9.1.5
10.1016/j.ebiom.2023.104512
10.1111/jerd.13046
10.2147/AMEP.S368519
10.1186/s41239-022-00362-6
10.1007/s10796-022-10291-4
10.1186/s41239-023-00392-8
10.1148/radiol.223312
10.2139/ssrn.4404380
10.1186/s41239-023-00408-3
10.2139/ssrn.4373111
10.2139/ssrn.4337484
10.48550/arXiv.2302.10913
10.2139/ssrn.4407587
10.3389/fpubh.2021.795284
10.1186/s40561-023-00269-3
10.2139/ssrn.4312418
10.48550/arXiv.2301.01902
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References Terblanche, Molyn, Williams, Maritz (CR50) 2022; 16
Biggs (CR8) 1999; 18
CR36
CR34
Dahmash, Alabdulkareem, Alfutais, Kamel, Alkholaiwi, Alshehri, Zahrani, Almoaiqel (CR20) 2020; 2
CR33
CR30
Harrer (CR31) 2023; 90
Park, Yi, Siegel (CR46) 2020; 50
CR4
Lubowitz (CR41) 2023; 39
CR3
CR6
CR9
CR49
Mokmin, Ibrahim (CR44) 2021; 26
Chen, Jensen, Albert, Gupta, Lee (CR18) 2023; 25
Jha, Shankar, Al-Betar, Mukhia, Hada, Palaian (CR35) 2022; 13
Lee, Hwang, Chen (CR40) 2022; 70
CR43
CR42
Gillissen, Kochanek, Zupanic, Ehlers (CR28) 2022; 10
Peres, Shreier, Schweidel, Sorescu (CR47) 2023
Hew, Huang, Du, Jia (CR32) 2023; 35
Landauer (CR39) 2003; 10
Bhattacharya, Bhattacharya, Bhattacharya, Yagnik, Garg, Kumar (CR7) 2023
Crompton, Burke (CR19) 2023; 20
Bailey, Southam, Costley (CR5) 2021; 18
van Dis, Bollen, Zuidema, van Rooij, Bockting (CR51) 2023; 614
CR16
CR15
CR14
CR13
CR12
Eggmann, Weiger, Zitzmann, Blatz (CR23) 2023
CR55
CR10
Gong, Nugent, Guest, Parker, Chang, Khosa, Nicolaou (CR29) 2019; 26
Yüzbaşioğlu (CR54) 2021; 85
CR52
Abdelwahab, Rauf, Chen (CR1) 2022; 37
Gherhes, Obrad (CR26) 2018; 10
Biswas (CR11) 2023; 307
Ghotbi, Ho, Mantello (CR27) 2022; 37
Davis (CR21) 1989; 13
Kitamura (CR37) 2023; 307
Adiguzel, Kaya, Cansu (CR2) 2023; 15
Gayed, Carlon, Oriola, Cross (CR25) 2022; 3
CR22
Essel, Vlachopoulos, Tachie-Menson, Johnson, Baah (CR24) 2022; 19
Sit, Srinivasan, Amlani, Muthuswamy, Azam, Monzon, Poon (CR48) 2020
Kumar (CR38) 2023; 9
Yildiz Durak (CR53) 2023; 28
H Yildiz Durak (411_CR53) 2023; 28
E Yüzbaşioğlu (411_CR54) 2021; 85
EAM van Dis (411_CR51) 2023; 614
TK Landauer (411_CR39) 2003; 10
411_CR52
R Peres (411_CR47) 2023
N Jha (411_CR35) 2022; 13
CJ Park (411_CR46) 2020; 50
411_CR15
411_CR16
411_CR13
AHS Kumar (411_CR38) 2023; 9
411_CR14
411_CR55
411_CR12
411_CR10
B Gong (411_CR29) 2019; 26
A Gillissen (411_CR28) 2022; 10
HB Essel (411_CR24) 2022; 19
FD Davis (411_CR21) 1989; 13
F Eggmann (411_CR23) 2023
411_CR22
JH Lubowitz (411_CR41) 2023; 39
NAM Mokmin (411_CR44) 2021; 26
FC Kitamura (411_CR37) 2023; 307
411_CR30
H Crompton (411_CR19) 2023; 20
N Terblanche (411_CR50) 2022; 16
AB Dahmash (411_CR20) 2020; 2
C Sit (411_CR48) 2020
Y-F Lee (411_CR40) 2022; 70
411_CR36
S Biswas (411_CR11) 2023; 307
411_CR33
411_CR34
HR Abdelwahab (411_CR1) 2022; 37
JM Gayed (411_CR25) 2022; 3
Y Chen (411_CR18) 2023; 25
N Ghotbi (411_CR27) 2022; 37
V Gherhes (411_CR26) 2018; 10
J Biggs (411_CR8) 1999; 18
D Bailey (411_CR5) 2021; 18
KF Hew (411_CR32) 2023; 35
T Adiguzel (411_CR2) 2023; 15
S Harrer (411_CR31) 2023; 90
K Bhattacharya (411_CR7) 2023
411_CR3
411_CR49
411_CR4
411_CR6
411_CR42
411_CR9
411_CR43
References_xml – volume: 2
  start-page: 20200037
  issue: 1
  year: 2020
  ident: CR20
  article-title: Artificial intelligence in radiology: Does it impact medical students preference for radiology as their future career?
  publication-title: BJR Open
  doi: 10.1259/bjro.20200037
– volume: 13
  start-page: 319
  issue: 3
  year: 1989
  end-page: 340
  ident: CR21
  article-title: Perceived usefulness, perceived ease of use, and user acceptance of information technology
  publication-title: MIS Quarterly
  doi: 10.2307/249008
– ident: CR22
– volume: 85
  start-page: 60
  issue: 1
  year: 2021
  end-page: 68
  ident: CR54
  article-title: Attitudes and perceptions of dental students towards artificial intelligence
  publication-title: Journal of Dental Education
  doi: 10.1002/jdd.12385
– ident: CR49
– ident: CR4
– ident: CR16
– ident: CR12
– volume: 28
  start-page: 471
  year: 2023
  end-page: 488
  ident: CR53
  article-title: Conversational agent-based guidance: Examining the effect of chatbot usage frequency and satisfaction on visual design self-efficacy, engagement, satisfaction, and learner autonomy
  publication-title: Education and Information Technologies
  doi: 10.1007/s10639-022-11149-7
– volume: 15
  start-page: ep429
  issue: 3
  year: 2023
  ident: CR2
  article-title: Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
  publication-title: Contemporary Educational Technology
  doi: 10.30935/cedtech/13152
– volume: 3
  start-page: 100055
  year: 2022
  ident: CR25
  article-title: Exploring an AI-based writing assistant’s impact on English language learners
  publication-title: Computers and Education: Artificial Intelligence
  doi: 10.1016/j.caeai.2022.100055
– volume: 10
  start-page: 3066
  issue: 9
  year: 2018
  ident: CR26
  article-title: Technical and humanities students’ perspectives on the development and sustainability of artificial intelligence (AI)
  publication-title: Sustainability
  doi: 10.3390/su10093066
– ident: CR42
– volume: 10
  start-page: 723
  issue: 4
  year: 2022
  ident: CR28
  article-title: Medical students’ perceptions towards digitalization and artificial intelligence: A mixed-methods study
  publication-title: Healthcare
  doi: 10.3390/healthcare10040723
– volume: 16
  start-page: 100
  issue: 1
  year: 2022
  end-page: 114
  ident: CR50
  article-title: Performance matters: Students’ perceptions of artificial intelligence coach adoption factors
  publication-title: Coaching an International Journal of Theory Research and Practice
  doi: 10.1080/17521882.2022.2094278
– volume: 614
  start-page: 224
  year: 2023
  end-page: 226
  ident: CR51
  article-title: ChatGPT: Five priorities for research
  publication-title: Nature
  doi: 10.1038/d41586-023-00288-7
– volume: 18
  start-page: 85
  issue: 1
  year: 2021
  end-page: 103
  ident: CR5
  article-title: Digital storytelling with chatbots: Mapping L2 participation and perception patterns
  publication-title: Interactive Technology and Smart Education
  doi: 10.1108/ITSE-08-2020-0170
– volume: 70
  start-page: 1843
  year: 2022
  end-page: 1865
  ident: CR40
  article-title: Impacts of an AI-based chabot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation
  publication-title: Educational Technology Research and Development
  doi: 10.1007/s11423-022-10142-8
– volume: 37
  start-page: 283
  year: 2022
  end-page: 290
  ident: CR27
  article-title: Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan
  publication-title: AI & Society
  doi: 10.1007/s00146-021-01168-2
– ident: CR15
– volume: 18
  start-page: 57
  issue: 1
  year: 1999
  end-page: 75
  ident: CR8
  article-title: What the student does: Teaching for enhanced learning
  publication-title: Higher Education Research & Development
  doi: 10.1080/0729436990180105
– ident: CR9
– volume: 307
  start-page: e230171
  issue: 2
  year: 2023
  ident: CR37
  article-title: ChatGPT is shaping the future of medical writing but still requires human judgment
  publication-title: Radiology
  doi: 10.1148/radiol.230171
– ident: CR36
– volume: 35
  start-page: 40
  year: 2023
  end-page: 68
  ident: CR32
  article-title: Using chatbots to support student goal setting and social presence in fully online activities: Learner engagement and perceptions
  publication-title: Journal of Computing in Higher Education
  doi: 10.1007/s12528-022-09338-x
– volume: 37
  start-page: 22
  issue: 1
  year: 2022
  end-page: 34
  ident: CR1
  article-title: Business students’ perceptions of Dutch higher education institutions in preparing them for artificial intelligence work environments
  publication-title: Industry and Higher Education
  doi: 10.1177/09504222221087614
– ident: CR43
– ident: CR14
– volume: 39
  start-page: 1121
  issue: 5
  year: 2023
  end-page: 1122
  ident: CR41
  article-title: ChatGPT, an artificial intelligence chatbot, is impacting medical literature
  publication-title: Arthroscopy
  doi: 10.1016/j.arthro.2023.01.015
– year: 2023
  ident: CR47
  article-title: On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice
  publication-title: International Journal of Research in Marketing
  doi: 10.1016/j.ijresmar.2023.03.001
– year: 2023
  ident: CR7
  article-title: ChatGPT in surgical practice—A new kid on the block
  publication-title: Indian Journal of Surgery
  doi: 10.1007/s12262-023-03727-x
– ident: CR30
– ident: CR10
– ident: CR33
– ident: CR6
– volume: 26
  start-page: 566
  issue: 4
  year: 2019
  end-page: 577
  ident: CR29
  article-title: Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: A national survey study
  publication-title: Academic Radiology
  doi: 10.1016/j.acra.2018.10.007
– volume: 10
  start-page: 295
  issue: 3
  year: 2003
  end-page: 308
  ident: CR39
  article-title: Automatic essay assessment
  publication-title: Assessment in Education: Principles, Policy & Practice
  doi: 10.1080/0969594032000148154
– year: 2020
  ident: CR48
  article-title: Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: A mutilcentre survey
  publication-title: Insights into Imaging
  doi: 10.1186/s13244-019-0830-7
– volume: 26
  start-page: 6033
  year: 2021
  end-page: 6049
  ident: CR44
  article-title: The evaluation of chatbot as a tool for health literacy education among undergraduate students
  publication-title: Education and Information Technologies
  doi: 10.1007/s10639-021-10542-y
– volume: 50
  start-page: 614
  issue: 5
  year: 2020
  end-page: 619
  ident: CR46
  article-title: Medical student perspectives on the impact of artificial intelligence on the practice of medicine
  publication-title: Current Problems in Diagnostic Radiology
  doi: 10.1067/j.cpradiol.2020.06.011
– volume: 9
  start-page: 24
  issue: 1
  year: 2023
  end-page: 30
  ident: CR38
  article-title: Analysis of ChatGPT tool to assess the potential of its utility for academic writing in biomedical domain
  publication-title: BEMS Reports
  doi: 10.5530/bems.9.1.5
– volume: 90
  start-page: 104512
  year: 2023
  ident: CR31
  article-title: Attention is not all you need: The complicated case of ethically using large language models in healthcare and medicine
  publication-title: eBioMedicine
  doi: 10.1016/j.ebiom.2023.104512
– year: 2023
  ident: CR23
  article-title: Implications of large language models such as ChatGPT for dental medicine
  publication-title: Journal of Esthetic and Restorative Dentistry
  doi: 10.1111/jerd.13046
– ident: CR3
– volume: 13
  start-page: 927
  year: 2022
  end-page: 937
  ident: CR35
  article-title: Undergraduate medical students’ and interns’ knowledge and perception of artificial intelligence in medicine
  publication-title: Advances in Medical Education and Practice
  doi: 10.2147/AMEP.S368519
– volume: 19
  start-page: 57
  year: 2022
  ident: CR24
  article-title: The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education
  publication-title: International Journal of Educational Technology in Higher Education
  doi: 10.1186/s41239-022-00362-6
– ident: CR52
– ident: CR13
– ident: CR34
– volume: 25
  start-page: 161
  year: 2023
  end-page: 182
  ident: CR18
  article-title: Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success
  publication-title: Information Systems Frontiers
  doi: 10.1007/s10796-022-10291-4
– ident: CR55
– volume: 20
  start-page: 22
  issue: 1
  year: 2023
  ident: CR19
  article-title: Artificial intelligence in higher education: The state of the field
  publication-title: International Journal of Educational Technology in Higher Education
  doi: 10.1186/s41239-023-00392-8
– volume: 307
  start-page: e223312
  issue: 2
  year: 2023
  ident: CR11
  article-title: ChatGPT and the future of medical writing
  publication-title: Radiology
  doi: 10.1148/radiol.223312
– volume: 13
  start-page: 319
  issue: 3
  year: 1989
  ident: 411_CR21
  publication-title: MIS Quarterly
  doi: 10.2307/249008
– volume: 50
  start-page: 614
  issue: 5
  year: 2020
  ident: 411_CR46
  publication-title: Current Problems in Diagnostic Radiology
  doi: 10.1067/j.cpradiol.2020.06.011
– volume: 10
  start-page: 295
  issue: 3
  year: 2003
  ident: 411_CR39
  publication-title: Assessment in Education: Principles, Policy & Practice
  doi: 10.1080/0969594032000148154
– ident: 411_CR52
  doi: 10.2139/ssrn.4404380
– volume: 9
  start-page: 24
  issue: 1
  year: 2023
  ident: 411_CR38
  publication-title: BEMS Reports
  doi: 10.5530/bems.9.1.5
– volume: 26
  start-page: 566
  issue: 4
  year: 2019
  ident: 411_CR29
  publication-title: Academic Radiology
  doi: 10.1016/j.acra.2018.10.007
– ident: 411_CR16
  doi: 10.1186/s41239-023-00408-3
– volume: 35
  start-page: 40
  year: 2023
  ident: 411_CR32
  publication-title: Journal of Computing in Higher Education
  doi: 10.1007/s12528-022-09338-x
– ident: 411_CR49
– volume: 13
  start-page: 927
  year: 2022
  ident: 411_CR35
  publication-title: Advances in Medical Education and Practice
  doi: 10.2147/AMEP.S368519
– ident: 411_CR43
  doi: 10.2139/ssrn.4373111
– volume: 307
  start-page: e230171
  issue: 2
  year: 2023
  ident: 411_CR37
  publication-title: Radiology
  doi: 10.1148/radiol.230171
– volume: 20
  start-page: 22
  issue: 1
  year: 2023
  ident: 411_CR19
  publication-title: International Journal of Educational Technology in Higher Education
  doi: 10.1186/s41239-023-00392-8
– volume: 18
  start-page: 85
  issue: 1
  year: 2021
  ident: 411_CR5
  publication-title: Interactive Technology and Smart Education
  doi: 10.1108/ITSE-08-2020-0170
– ident: 411_CR4
  doi: 10.2139/ssrn.4337484
– ident: 411_CR9
– volume: 26
  start-page: 6033
  year: 2021
  ident: 411_CR44
  publication-title: Education and Information Technologies
  doi: 10.1007/s10639-021-10542-y
– volume: 28
  start-page: 471
  year: 2023
  ident: 411_CR53
  publication-title: Education and Information Technologies
  doi: 10.1007/s10639-022-11149-7
– ident: 411_CR42
  doi: 10.48550/arXiv.2302.10913
– ident: 411_CR30
– ident: 411_CR13
– ident: 411_CR34
– volume: 3
  start-page: 100055
  year: 2022
  ident: 411_CR25
  publication-title: Computers and Education: Artificial Intelligence
  doi: 10.1016/j.caeai.2022.100055
– volume: 90
  start-page: 104512
  year: 2023
  ident: 411_CR31
  publication-title: eBioMedicine
  doi: 10.1016/j.ebiom.2023.104512
– volume: 25
  start-page: 161
  year: 2023
  ident: 411_CR18
  publication-title: Information Systems Frontiers
  doi: 10.1007/s10796-022-10291-4
– volume: 2
  start-page: 20200037
  issue: 1
  year: 2020
  ident: 411_CR20
  publication-title: BJR Open
  doi: 10.1259/bjro.20200037
– volume: 37
  start-page: 283
  year: 2022
  ident: 411_CR27
  publication-title: AI & Society
  doi: 10.1007/s00146-021-01168-2
– ident: 411_CR6
  doi: 10.2139/ssrn.4407587
– volume: 10
  start-page: 723
  issue: 4
  year: 2022
  ident: 411_CR28
  publication-title: Healthcare
  doi: 10.3390/healthcare10040723
– volume: 614
  start-page: 224
  year: 2023
  ident: 411_CR51
  publication-title: Nature
  doi: 10.1038/d41586-023-00288-7
– volume: 16
  start-page: 100
  issue: 1
  year: 2022
  ident: 411_CR50
  publication-title: Coaching an International Journal of Theory Research and Practice
  doi: 10.1080/17521882.2022.2094278
– volume: 18
  start-page: 57
  issue: 1
  year: 1999
  ident: 411_CR8
  publication-title: Higher Education Research & Development
  doi: 10.1080/0729436990180105
– year: 2023
  ident: 411_CR7
  publication-title: Indian Journal of Surgery
  doi: 10.1007/s12262-023-03727-x
– ident: 411_CR10
  doi: 10.3389/fpubh.2021.795284
– volume: 19
  start-page: 57
  year: 2022
  ident: 411_CR24
  publication-title: International Journal of Educational Technology in Higher Education
  doi: 10.1186/s41239-022-00362-6
– ident: 411_CR33
– year: 2023
  ident: 411_CR47
  publication-title: International Journal of Research in Marketing
  doi: 10.1016/j.ijresmar.2023.03.001
– volume: 307
  start-page: e223312
  issue: 2
  year: 2023
  ident: 411_CR11
  publication-title: Radiology
  doi: 10.1148/radiol.223312
– ident: 411_CR14
– ident: 411_CR12
  doi: 10.1186/s40561-023-00269-3
– volume: 10
  start-page: 3066
  issue: 9
  year: 2018
  ident: 411_CR26
  publication-title: Sustainability
  doi: 10.3390/su10093066
– volume: 37
  start-page: 22
  issue: 1
  year: 2022
  ident: 411_CR1
  publication-title: Industry and Higher Education
  doi: 10.1177/09504222221087614
– volume: 85
  start-page: 60
  issue: 1
  year: 2021
  ident: 411_CR54
  publication-title: Journal of Dental Education
  doi: 10.1002/jdd.12385
– ident: 411_CR55
  doi: 10.2139/ssrn.4312418
– year: 2020
  ident: 411_CR48
  publication-title: Insights into Imaging
  doi: 10.1186/s13244-019-0830-7
– year: 2023
  ident: 411_CR23
  publication-title: Journal of Esthetic and Restorative Dentistry
  doi: 10.1111/jerd.13046
– ident: 411_CR36
– ident: 411_CR22
  doi: 10.48550/arXiv.2301.01902
– volume: 15
  start-page: ep429
  issue: 3
  year: 2023
  ident: 411_CR2
  publication-title: Contemporary Educational Technology
  doi: 10.30935/cedtech/13152
– ident: 411_CR3
– ident: 411_CR15
– volume: 70
  start-page: 1843
  year: 2022
  ident: 411_CR40
  publication-title: Educational Technology Research and Development
  doi: 10.1007/s11423-022-10142-8
– volume: 39
  start-page: 1121
  issue: 5
  year: 2023
  ident: 411_CR41
  publication-title: Arthroscopy
  doi: 10.1016/j.arthro.2023.01.015
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Snippet This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity,...
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity,...
Abstract This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on...
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SubjectTerms Advantages
AI literacy
Artificial Intelligence
Attitudes
Barriers
Chatbots
ChatGPT
College Students
Colleges & universities
Computer Appl. in Social and Behavioral Sciences
Computer Science
Computers and Education
Educational Benefits
Educational Technology
Familiarity
Foreign Countries
Generative AI
Generative artificial intelligence
Graduate students
Graduate studies
Guidelines
Higher Education
Humanities
Information Systems Applications (incl.Internet)
Law
Learning Experience
Outcomes of Education
Positive Attitudes
Research Article
Risks
Statistics for Social Sciences
Student perception
Students
University students
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Title Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
URI https://link.springer.com/article/10.1186/s41239-023-00411-8
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