Exploring the Role of AI-based Tools in Enhancing Student Learning Outcomes

Asrani, Lit and Shamsiah, Suhaili and Maimun Huja, Husin and Kuryati, Kipli and Hishammudin Afifi, Huspi and Fariza, Mahyan (2024) Exploring the Role of AI-based Tools in Enhancing Student Learning Outcomes. In: 2024 IEEE 13th International Conference on Engineering Education (ICEED), 19-20 November 2024, Kanazawa, Japan.

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Abstract

—Beyond chatbots, AI’s application extends to serving as virtual assistants to educators, enhancing their capacity to support student learning in diverse ways. In the context of this study, we delve into the extensive advantages AI tools offer in boosting the learning outcomes of students. Our research specifically targets the effectiveness of AI in elevating the academic performance of first-year undergraduates within the Electrical and Electronics Department at the Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS). The empirical data from our study presents a compelling argument for AI’s positive influence on educational outcomes. It reveals a consensus among participants that AI not only facilitates easier access to learning materials and enhances understanding but also promotes a sense of independence among learners. Our findings underscore a rising inclination towards adopting tech-driven innovations within the educational sphere of the university. Nonetheless, it also brings to light the critical need for an integrated approach that marries AI technologies with conventional pedagogical techniques, aiming for a curriculum that fosters comprehensive development of students. One of the standout observations from the research is the perceived potential of AI to democratize educational opportunities, suggesting its pivotal role in creating an equitable learning environment that accommodates students from varied backgrounds. Conclusively, the survey highlights a broad endorsement of AI’s role in achieving educational goals, while also stressing the importance of its thoughtful integration to enhance various facets of student growth.

Item Type: Proceeding (Paper)
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: AI-based Tools, Student Learning Outcomes, Engineering Education.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 29 Apr 2025 08:27
Last Modified: 30 Apr 2025 01:46
URI: http://ir.unimas.my/id/eprint/48095

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