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

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.

Authors

Institutions

Publication Details

Journal
Discover Computing
Published
2025-05-01
DOI
https://doi.org/10.1007/s10791-025-09567-5
Citations
13
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
22.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Shahazwan Mat Yusoff, Mohd Helme Basal, Anwar Farhan Mohamad Marzaini, Lijie Hao et al.
13 citations
Discover Computing
Online Learning and Analytics
22.02
article

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

Shahazwan Mat Yusoff, Mohd Helme Basal, Anwar Farhan Mohamad Marzaini, Lijie Hao, Zamzami Zainuddin
article en
13 citations

Abstract

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.

Discover ComputingVol. 28(1)
Zhejiang Wanli University (CN), Flinders University (AU), Hospital Pulau Pinang (MY), University of Malaya (MY), Universiti Teknologi MARA (MY)
Quality Education
Openalex Percentile: Top 1%
Online Learning and Analytics
22.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.