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ERIC Number: EJ1343520
Record Type: Journal
Publication Date: 2022-Jun
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Secondary School Students' Intentions to Learn AI: Testing Moderation Effects of Readiness, Social Good and Optimism
Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang
Educational Technology Research and Development, v70 n3 p765-782 Jun 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study examined a structural equational model to establish the interrelationships of students' perceived usefulness, attitude towards using AI, subjective norms to learn about AI, basic literacy about AI and their behavioral intention to learn about AI. In addition, it examines the moderation effects of readiness, social good, and optimism on the research model. The findings confirm the hypothesized model. In addition, various moderation effects were found among students' perception of readiness, social good, and optimism for AI. The implications of the study point towards the need to consider these factors in designing AI curriculum to foster students' behavioral intention to learn AI.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A