Generative AI for Academic Purposes: Comparing Chinese and Malaysian University Students’ Knowledge, Willingness, and Concerns

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Authors: Yuhan Liu, Xu Qian Zuo, Aarti Pushp Rawal, Jia Liu
Cited by: 1
References: 38

Abstract

This study explores Chinese and Malaysian university students’ perceptions of generative AI (GenAI) tools for academics, with a focus on their knowledge, willingness to use, and concerns. A quantitative, cross-sectional survey design was employed, and data were collected from 400 students through a structured online questionnaire. Both groups demonstrated high awareness of GenAI, with cultural differences shaping their perceptions. Knowledge is positively correlated with usage, whereas willingness is primarily influenced by concerns. Chinese students emphasized ethical considerations, particularly academic integrity, whereas Malaysian students prioritized the reliability of AI-generated content. Common concerns included the impact of GenAI on critical thinking, human interaction, and responsible academic use. The selection of China and Malaysia provides insights into two distinct and evolving educational contexts. To promote responsible GenAI use, institutions should address both its advantages and ethical implications while adapting policies to diverse cultural contexts. The implications and directions for future research are discussed.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Ethics and Social Impacts of AI

Publication details

Journal / source
SAGE Open
Publisher
SAGE Publications
Volume
16
Issue
2
Publication date
1 April 2026
Language
EN