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All Journal International Journal of Evaluation and Research in Education (IJERE)
Chin Fei, Goh
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Education

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Determinants of artificial intelligence acceptance among undergraduates Kowang, Tan Owee; Kim Yew, Lim; Chin Fei, Goh; Choon Hee, Ong
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.32565

Abstract

Despite the potential benefits of artificial intelligence (AI) brings to education, its extensive use does not automatically guarantee effective integration or consistent improvements in learning. Hence, this research aims to identify the determinants of AI acceptance among undergraduates and examine the relationship between these determinants and AI acceptance. Five determinants of AI acceptance were identified based on the technology acceptance model (TAM) and empirical evidence: perceived effectiveness of AI, user satisfaction, user attitude toward AI technology, attitude toward using AI, and user self-efficacy. This quantitative study focused on 791 undergraduates from a management school in Malaysia. A questionnaire was distributed to 310 undergraduates using a stratified sampling method, and 259 responses were collected. Descriptive analysis results indicated that undergraduates perceive attitudes toward AI technology and using AI as very important determinants of AI acceptance. Pearson correlation analysis also revealed that four determinants (perceived effectiveness of AI, satisfaction in using AI, attitude towards AI technology, attitude towards using AI) significantly correlated with AI acceptance. This finding suggests that, within the context of AI acceptance among management school undergraduates, attitude-related determinants are the primary drivers. The findings from this research could be used by the management school as a reference to enhance undergraduates’ AI acceptance levels and identify areas for inclusive education system improvement.
Determinants of undergraduate recycling behavior: an extended model of the theory of planned behavior Owee Kowang, Tan; Kim Yew, Lim; Choon Hee, Ong; Chin Fei, Goh
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i5.32391

Abstract

Promoting positive recycling behavior should be part of the higher educational objectives. The main purpose of this research is to identify the determinants of recycling behavior among undergraduates, to assess the differences in undergraduates’ recycling behavior based on their demographic, and to explore the relationship between the determinants and behavior of recycling. The research extended the theory of planned behaviors (TPB) by adding environmental awareness as a determinant of recycling behavior in addition to attitude toward recycling, subjective norm of recycling, and perceived behavioral control over recycling. The research population comprises management programs undergraduates from a public university in Malaysia. A total of 259 responses were collected via structured questionnaire. Descriptive and Pearson correlation analysis results suggested that respondents strongly agreed that undergraduates’ attitudes and environmental awareness are the most important determinants of recycling behavior, and both determinants are strongly correlated with recycle behavior. The analysis of variance (ANOVA) analysis result also reveals that there is significant difference on recycle behaviors among undergraduates based on year of study, with year 4 undergraduates exhibiting the highest recycling behavior. This finding suggests that the green campus initiatives taken by the university are effective. Additionally, extending the TPB model by adding awareness implies a theoretical contribution of this research.
Co-Authors Choon Hee, Ong Kim Yew, Lim Kowang, Tan Owee Owee Kowang, Tan