Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE)
Kowang, Tan Owee
Unknown Affiliation
Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Factors influencing enrollment intention in private schools Ping, Lim Lee; Hee, Ong Choon; Kowang, Tan Owee; Yew, Lim Kim
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i6.35364

Abstract

The growth in private school student enrollment in Malaysia has prompted institutions to upgrade to stay competitive in the market. However, despite the increasing number of private schools, regrettably, only a few studies have focused on the factors that influence private school enrollment. This study examines the relationship between social influences (SI), school environment (SE), characteristics, parent-administration-teacher relationship (PAT), and private school enrolment intention in Malaysia. It uses a quantitative method and G*Power to determine the minimum sample size. Data was gathered from 135 respondents who have enrolled at least one child in private schools using questionnaire surveys. The statistical package for social science (SPSS) was used to analyze the data. The results showed that SI and school characteristics (SC) significantly and positively correlated with enrolment intention. The PAT was not significantly associated with enrolment intention. This study clearly shows that SI factors and SCs are crucial for enrolment intention in private schools. The management should develop and implement marketing strategies that effectively tackle current market challenges by focusing on SI and improving the SC. They can tailor the marketing strategy with electronic word-of-mouth (e-WOM) for SI and apply learning analytics for SC.
Co-Authors Chin Fei, Goh Choon Hee, Ong Hee, Ong Choon Kim Yew, Lim Ping, Lim Lee Yew, Lim Kim