Understanding the role of AI in Malaysian higher education curricula: an analysis of student perceptions

被引:0
作者
Yusoff, Shahazwan Mat [1 ]
Marzaini, Anwar Farhan Mohamad [2 ]
Hao, Lijie [3 ]
Zainuddin, Zamzami [4 ]
Basal, Mohd Helme [5 ]
机构
[1] Univ Malaya, Fac Educ, Dept Curriculum & Instructional Technol, Kuala Lumpur 50603, Malaysia
[2] Univ Teknol MARA Cawangan Pulau Pinang, Acad Language Studies, Permatang Pauh 14000, Pulau Pinang, Malaysia
[3] Zhejiang Wanli Univ, Coll Foreign Languages, 8 Qianhu South Rd, Ningbo 315000, Zhejiang, Peoples R China
[4] Flinders Univ S Australia, Coll Educ Psychol & Social Work, Sturt Rd, Bedford Pk, SA 5042, Australia
[5] Univ Teknol MARA, Fac Sports Sci & Recreat, Bangunan Akad 3, Shah Alam 40450, Selangor, Malaysia
关键词
Artificial Intelligence; Satisfaction; Perceived utility; Content quality; Perceived credibility; ARTIFICIAL-INTELLIGENCE; USER ACCEPTANCE; TECHNOLOGY; INTENTIONS;
D O I
10.1007/s10791-025-09567-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study explores the role of Artificial Intelligence (AI) in higher education curricula, focusing on student perceptions and engagement with AI tools through the lens of key variables: perceived utility, satisfaction, content quality, and perceived credibility. The rapid adoption of AI technologies, such as intelligent tutoring systems and adaptive learning platforms, offers significant promise in enhancing personalized learning, improving content delivery, and streamlining administrative processes. However, successfully integrating AI into higher education requires an understanding of how students perceive these tools and how their perceptions influence adoption. The study employs a quantitative cross-sectional survey design and utilizes Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the relationships between the identified predictors and students' use of AI in their academic experiences, based on data from 306 participants. The results reveal that satisfaction has the strongest impact on students' use of AI in higher education curricula, highlighting the importance of providing user-friendly, reliable, and effective platforms. The perceived utility also plays a significant role, though its effect size is moderate, indicating that while students recognize AI's potential benefits in achieving academic goals, other factors also contribute to their willingness to adopt these tools. Content quality and perceived credibility, while positively correlated with AI adoption, were found to have weaker and statistically non-significant effects. This suggests that students may prioritize functionality and user experience over content quality and trust in AI systems. The study's findings provide valuable insights for educators and policymakers aiming to optimize AI adoption in higher education curricula, emphasizing the need for comprehensive strategies that address multiple factors influencing student perceptions.
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页数:21
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共 70 条
[51]   Balancing Technology, Pedagogy and the New Normal: Post-pandemic Challenges for Higher Education [J].
Rapanta C. ;
Botturi L. ;
Goodyear P. ;
Guàrdia L. ;
Koole M. .
Postdigital Science and Education, 2021, 3 (3) :715-742
[52]   Higher education students' perceptions of ChatGPT: A global study of early reactions [J].
Ravselji, Dejan ;
Kerzic, Damijana ;
Tomazevic, Nina ;
Umek, Lan ;
Brezovar, Nejc ;
Iahad, Noorminshah A. ;
Abdulla, Ali Abdulla ;
Akopyan, Anait ;
Aldana Segura, Magdalena Waleska ;
AlHumaid, Jehan ;
Allam, Mohamed Farouk ;
Allo, Maria ;
Andoh, Raphael Papa Kweku ;
Andronic, Octavian ;
Arthur, Yarhands Dissou ;
Aydin, Fatih ;
Badran, Amira ;
Balbontin-Alvarado, Roxana ;
Ben Saadid, Helmi ;
Bencsik, Andrea ;
Benning, Isaac ;
Besim, Adrian ;
Bezerra, Denilson da Silva ;
Buizza, Chiara ;
Burro, Roberto ;
Bwalya, Anthony ;
Cachero, Cristina ;
Castillo-Briceno, Patricia ;
Castro, Harold ;
Chai, Ching Sing ;
Charalambous, Constadina ;
Chiu, Thomas K. F. ;
Clipa, Otilia ;
Colombari, Ruggero ;
Corral Escobedo, Luis Jose H. ;
Costa, Elisio ;
Cretulescu, Radu George ;
Crispino, Marta ;
Cucari, Nicola ;
Dalton, Fergus ;
Kaya, Meva Demir ;
Dumic-Cule, Ivo ;
Dwidienawati, Diena ;
Ebardo, Ryan ;
Egbenya, Daniel Lawer ;
Faris, MoezAlIslam Ezzat ;
Fecko, Miroslav ;
Ferrinho, Paulo ;
Florea, Adrian ;
Fong, Chun Yuen .
PLOS ONE, 2025, 20 (02)
[53]   The impact of user addiction on continuance intention to use streaming platforms: incorporating expectation confirmation model and personality traits [J].
Sae-tae, Kittiporn ;
Ling, Jinzhu ;
Wang, Qian .
FRONTIERS IN COMMUNICATION, 2024, 9
[54]  
Saihi A., 2024, Educ Inf Technol, V30, P1
[55]  
Saman Hamidah Mohd, 2024, Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024). Advances in Computer Science Research (117), P633, DOI 10.2991/978-94-6463-589-8_59
[56]  
Sauls M, 2018, Doctoral dissertation
[57]  
Saxena AK., 2023, Sage Sci Rev Educ Technol, V6, P88
[58]   User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability [J].
Shin, Donghee .
JOURNAL OF BROADCASTING & ELECTRONIC MEDIA, 2020, 64 (04) :541-565
[59]  
Stohr C., 2024, Computers and Education Artificial Intelligence, V7, DOI [10.1016/j.caeai.2024.100259, DOI 10.1016/J.CAEAI.2024.100259]
[60]  
Talan T., 2023, International Journal of Management Information Systems and Computer Science, V7, P33, DOI [10.33461/uybisbbd.1244777, DOI 10.33461/UYBISBBD.1244777]