Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum

Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI cu...

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Published inIEEE transactions on education Vol. 65; no. 1; pp. 30 - 39
Main Authors Chiu, Thomas K. F., Meng, Helen, Chai, Ching-Sing, King, Irwin, Wong, Savio, Yam, Yeung
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2022
Institute of Electrical and Electronics Engineers, Inc
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors evaluation about students' perceptions of AI learning confirmed that the curriculum is effective in promoting AI learning. The teachers also confirmed the co-creation process enhanced their capacity to implement AI education. Background: AI4Future is a cross-sector project that engages five major partners-CUHK's Faculty of Engineering and Faculty of Education, secondary schools, Hong Kong government, and AI industry. A team of 14 professors collaborated with 17 principals and teachers from six secondary schools to co-create the curriculum. Research Questions: Would the curriculum significantly improve the student perceived competence, attitude, and motivation toward AI learning? How does the co-creation process benefit the implementation of the curriculum? Methodology: The participants were 335 students and eight teachers from the secondary schools. This study adopted a mix-method with quantitative data measures at pre- and post-questionnaires and qualitative data emphasizes teachers' perspectives on the co-creation process. Paired <inline-formula> <tex-math notation="LaTeX">{t} </tex-math></inline-formula>-tests and ANCOVAs, and thematic analysis were used to analyze the data. Findings: 1) students perceived greater competence and developed a more positive attitude to learn AI and 2) the co-creation process enhanced teachers' knowledge in AI, as well as fostered teachers' autonomy in bringing the subject matter into their classrooms.
AbstractList Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors evaluation about students' perceptions of AI learning confirmed that the curriculum is effective in promoting AI learning. The teachers also confirmed the co-creation process enhanced their capacity to implement AI education. Background: AI4Future is a cross-sector project that engages five major partners--CUHK's Faculty of Engineering and Faculty of Education, secondary schools, Hong Kong government, and AI industry. A team of 14 professors collaborated with 17 principals and teachers from six secondary schools to co-create the curriculum. Research Questions: Would the curriculum significantly improve the student perceived competence, attitude, and motivation toward AI learning? How does the co-creation process benefit the implementation of the curriculum? Methodology: The participants were 335 students and eight teachers from the secondary schools. This study adopted a mix-method with quantitative data measures at pre- and post-questionnaires and qualitative data emphasizes teachers' perspectives on the co-creation process. Paired t-tests and ANCOVAs, and thematic analysis were used to analyze the data. Findings: (1) students perceived greater competence and developed a more positive attitude to learn AI; and (2) the co-creation process enhanced teachers' knowledge in AI, as well as fostered teachers' autonomy in bringing the subject matter into their classrooms.
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors evaluation about students’ perceptions of AI learning confirmed that the curriculum is effective in promoting AI learning. The teachers also confirmed the co-creation process enhanced their capacity to implement AI education. Background: AI4Future is a cross-sector project that engages five major partners—CUHK’s Faculty of Engineering and Faculty of Education, secondary schools, Hong Kong government, and AI industry. A team of 14 professors collaborated with 17 principals and teachers from six secondary schools to co-create the curriculum. Research Questions: Would the curriculum significantly improve the student perceived competence, attitude, and motivation toward AI learning? How does the co-creation process benefit the implementation of the curriculum? Methodology: The participants were 335 students and eight teachers from the secondary schools. This study adopted a mix-method with quantitative data measures at pre- and post-questionnaires and qualitative data emphasizes teachers’ perspectives on the co-creation process. Paired [Formula Omitted]-tests and ANCOVAs, and thematic analysis were used to analyze the data. Findings: 1) students perceived greater competence and developed a more positive attitude to learn AI and 2) the co-creation process enhanced teachers’ knowledge in AI, as well as fostered teachers’ autonomy in bringing the subject matter into their classrooms.
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors evaluation about students' perceptions of AI learning confirmed that the curriculum is effective in promoting AI learning. The teachers also confirmed the co-creation process enhanced their capacity to implement AI education. Background: AI4Future is a cross-sector project that engages five major partners-CUHK's Faculty of Engineering and Faculty of Education, secondary schools, Hong Kong government, and AI industry. A team of 14 professors collaborated with 17 principals and teachers from six secondary schools to co-create the curriculum. Research Questions: Would the curriculum significantly improve the student perceived competence, attitude, and motivation toward AI learning? How does the co-creation process benefit the implementation of the curriculum? Methodology: The participants were 335 students and eight teachers from the secondary schools. This study adopted a mix-method with quantitative data measures at pre- and post-questionnaires and qualitative data emphasizes teachers' perspectives on the co-creation process. Paired <inline-formula> <tex-math notation="LaTeX">{t} </tex-math></inline-formula>-tests and ANCOVAs, and thematic analysis were used to analyze the data. Findings: 1) students perceived greater competence and developed a more positive attitude to learn AI and 2) the co-creation process enhanced teachers' knowledge in AI, as well as fostered teachers' autonomy in bringing the subject matter into their classrooms.
Audience Secondary Education
Author King, Irwin
Yam, Yeung
Chai, Ching-Sing
Meng, Helen
Chiu, Thomas K. F.
Wong, Savio
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  organization: Department of Mechanical and Automation, The Chinese University of Hong Kong, Hong Kong
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Cites_doi 10.1080/00220272.2018.1482960
10.3390/su13020800
10.1145/3287324.3293729
10.1186/s41239-019-0171-0
10.1145/3159450.3159594
10.3390/su12166597
10.1016/j.compedu.2014.12.001
10.1609/aimag.v40i4.5289
10.1111/j.1949-8594.2011.00112.x
10.1007/BF02310555
10.1080/02619768.2017.1315399
10.1109/T4E.2019.00021
10.1186/s41239-021-00245-2
10.1609/aaai.v33i01.33019795
10.1002/curj.3
10.21061/jots.v35i2.a.3
10.1007/s40593-016-0110-3
10.1111/bjet.12432
10.1002/j.2168-9830.2012.tb00061.x
10.3991/ijep.v6i1.5372
10.1201/9781420035926
10.3390/su12145568
10.1002/j.2168-9830.2010.tb01054.x
10.1080/10494820.2021.1926289
10.1177/0013916516670982
10.1080/00461520.2020.1794871
10.46392/kjge.2020.14.4.37
10.7771/2157-9288.1069
10.1080/10494820.2015.1113709
10.1145/3290605.3300677
10.1145/3287324.3287525
10.1207/s15326985ep4002_6
10.1145/3341525.3387364
10.1080/15391523.2021.1891998
10.2304/eerj.2007.6.3.203
10.1348/000709902158883
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References ref37
ref36
ref14
ref31
ref11
ref32
riskowski (ref20) 2009; 25
ref2
ref39
ref17
ref38
ref16
(ref35) 2020
(ref15) 2020
ref19
ref18
chai (ref30) 0
(ref13) 2018
(ref34) 2020
ref46
ref24
ref45
ref26
ref47
ref25
ref42
ref41
kelly (ref23) 2009
(ref12) 2020
ref22
ref44
ref21
ref43
andré (ref1) 2021; 18
(ref10) 2019
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref5
ref40
(ref33) 2020
papert (ref6) 1971
References_xml – year: 2020
  ident: ref35
  publication-title: Sportify Front Page
– year: 1971
  ident: ref6
  article-title: Twenty things to do with a computer
  publication-title: Artificial Intelligence Memo 248
– year: 0
  ident: ref30
  article-title: Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students
  publication-title: Educ Technol Soc
– ident: ref25
  doi: 10.1080/00220272.2018.1482960
– ident: ref18
  doi: 10.3390/su13020800
– ident: ref3
  doi: 10.1145/3287324.3293729
– ident: ref5
  doi: 10.1186/s41239-019-0171-0
– ident: ref46
  doi: 10.1145/3159450.3159594
– ident: ref31
  doi: 10.3390/su12166597
– ident: ref29
  doi: 10.1016/j.compedu.2014.12.001
– ident: ref9
  doi: 10.1609/aimag.v40i4.5289
– ident: ref21
  doi: 10.1111/j.1949-8594.2011.00112.x
– ident: ref37
  doi: 10.1007/BF02310555
– year: 2019
  ident: ref10
  article-title: Introduction of artificial intelligence, early childhood care education and yoga as new subjects in school curriculum from the academic session 2019-2020
– ident: ref43
  doi: 10.1080/02619768.2017.1315399
– ident: ref11
  doi: 10.1109/T4E.2019.00021
– volume: 18
  start-page: 11
  year: 2021
  ident: ref1
  article-title: Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies
  publication-title: International Journal of education in Higher Education
  doi: 10.1186/s41239-021-00245-2
– ident: ref2
  doi: 10.1609/aaai.v33i01.33019795
– ident: ref24
  doi: 10.1002/curj.3
– ident: ref39
  doi: 10.21061/jots.v35i2.a.3
– year: 2020
  ident: ref12
  publication-title: Artificial Intelligence (AI) Education for Teachers
– year: 2020
  ident: ref15
  publication-title: Partnership Profile IBM and School of Education Team Up to Teach AI
– ident: ref17
  doi: 10.1007/s40593-016-0110-3
– year: 2018
  ident: ref13
  publication-title: Fundamentals of Artificial Intelligence
– ident: ref26
  doi: 10.1111/bjet.12432
– ident: ref22
  doi: 10.1002/j.2168-9830.2012.tb00061.x
– ident: ref38
  doi: 10.3991/ijep.v6i1.5372
– year: 2020
  ident: ref34
  publication-title: MTR "Chatbot" Function
– volume: 25
  start-page: 181
  year: 2009
  ident: ref20
  article-title: Exploring the effectiveness of an interdisciplinary water resources engineering module in an eighth grade science course
  publication-title: Int J Eng Educ
– year: 2009
  ident: ref23
  publication-title: Curriculum Development Theory and Practice
– ident: ref36
  doi: 10.1201/9781420035926
– ident: ref4
  doi: 10.3390/su12145568
– ident: ref47
  doi: 10.1002/j.2168-9830.2010.tb01054.x
– ident: ref42
  doi: 10.1080/10494820.2021.1926289
– ident: ref45
  doi: 10.1177/0013916516670982
– ident: ref28
  doi: 10.1080/00461520.2020.1794871
– year: 2020
  ident: ref33
  publication-title: MTR "KKbox" Front Page
– ident: ref7
  doi: 10.46392/kjge.2020.14.4.37
– ident: ref19
  doi: 10.7771/2157-9288.1069
– ident: ref44
  doi: 10.1080/10494820.2015.1113709
– ident: ref14
  doi: 10.1145/3290605.3300677
– ident: ref8
  doi: 10.1145/3287324.3287525
– ident: ref32
  doi: 10.1207/s15326985ep4002_6
– ident: ref16
  doi: 10.1145/3341525.3387364
– ident: ref41
  doi: 10.1080/15391523.2021.1891998
– ident: ref27
  doi: 10.2304/eerj.2007.6.3.203
– ident: ref40
  doi: 10.1348/000709902158883
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Snippet Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at...
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SubjectTerms Artificial Intelligence
Artificial intelligence (AI) education
Attitudes
Bibliographies
co-creation process
Collaboration
Colleges & universities
Competence
Computer Assisted Instruction
Curricula
curriculum design
Curriculum Development
Curriculum Evaluation
Curriculum Implementation
Education
Ethics
Evaluation
Foreign Countries
Government industry relations
Industries
Learning
pretertiary education
Qualitative analysis
Robots
Secondary School Students
Secondary schools
Student Attitudes
Student Motivation
Students
teacher education
Teachers
Title Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum
URI https://ieeexplore.ieee.org/document/9455898
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1324309
https://www.proquest.com/docview/2624755820
Volume 65
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