Yap, Zhi Hui (2024) Exploring contributing factors and their inter-relationships towards the effective usage of chatgpt in academic learning among UTAR Kampar undergraduates. Final Year Project, UTAR.
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Abstract
Recently, ChatGPT is widely leveraged as information searching and drilling natural language processing tool to facilitate academic learning. However, a comprehensive framework is indeed lacking for its effective deployment in educational institutions. Thus, this research aims to analyze individual and technological performance-related variables and their inter-relationships while using ChatGPT to facilitate effective usage of ChatGPT among tertiary learners for their academic learning. Individual performance-related variables consist of tertiary learners’ knowledge base of subject matter and 21st century learning skills. On the other hand, technological performance-related variables comprise tertiary learners’ technological self-efficacy, acceptance level and job expectancy while using ChatGPT. Quantitative research via questionnaire survey was conducted in this research. All question items in the questionnaire were adapted from past related studies. The respondents were recruited using multi-staged cluster sampling technique at UTAR Kampar campus. Data collected from 230 tertiary learners were analysed using Partial Least Square-Structural Equation Modeling (PLS-SEM). In individual performance-related variables, the research findings show that tertiary learners’ communication and problem solving skills significantly influence the effective usage of ChatGPT. Besides, learner’s information literacy skills significantly influence both their communication and problem solving skills. In addition, collaboration skills have a significant effect on communication and information literacy skills. Moreover, learner’s knowledge base of subject matter significantly influences all six 21st century skills analysed in this research. Furthermore, critical thinking skills and problems solving skills are partially mediated by learners’ information literacy skills.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Divisions: | Faculty of Science > Bachelor of Science (Honours) Statistical Computing and Operations Research |
| Depositing User: | ML Main Library |
| Date Deposited: | 14 Nov 2025 15:45 |
| Last Modified: | 14 Nov 2025 15:45 |
| URI: | http://eprints.utar.edu.my/id/eprint/6541 |
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