2024 ICIMAC (Extended Abstract)
Permanent URI for this collection
Browse
Browsing 2024 ICIMAC (Extended Abstract) by Author "Amni Nabihah Abdul Malik"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication Artificial Intelligence (AI) for Enhancing Student Engagement and Motivation in Education: A Study of Undergraduate Students at USIMArtificial Intelligence (AI) is a technology that simulates intelligent behaviour using computer programming and advanced neural network learning systems, enabling machines to perform cognitive tasks and solve problems independently without human intervention. This paper will put AI as one of the technologies that can influence student engagement with great motivation in education and discover AI and education as one of the initiatives for motivating students. The fulfillment of the previous study recommendation in terms of completely comprehending the implications of AI on student learning results and motivation is the main this research was developed. The researcher decided to conduct this research for additional knowledge about AI and students’ engagement in education. This paper aims to explore AI’s role in the educational process. It seeks to study the impact of AI on students' engagement and motivation while providing insights into the dynamic interplay between technology and education. This study employs qualitative approaches by conducting semi-structured interviews with undergraduate students in the Faculty of Leadership and Management (FKP),Universiti Sains Islam Malaysia (USIM). Thematic analysis has been thoroughly applied to derive the findings. The comprehensive implementation of this methodology improves the study's reliability, increasing its validity and accuracy by attentively recognising and analysing major themes drawn from participant responses. The results show that AI has a multifunction role that impacts student engagement and motivation in the educational process. It aligns with the Uses and Gratifications Theory (UGT), offering a theoretical framework to understand how students purposefully engage with AI to achieve learning objectives in education. Despite the limitations and barriers that the researcher faces, this paper contributes and provides fresh knowledge to the field of AI through educational perspectives and insights.70 92