Chatbot personalities in digital learning: integrating characteristics that support learning to enhance learner engagement

Abdul Rahim, Elin Eliana and Ismail, Ahsiah (2026) Chatbot personalities in digital learning: integrating characteristics that support learning to enhance learner engagement. In: 2025 10th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 26-27 November 2025, KUALA LUMPUR, Malaysia.

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Official URL: https://ieeexplore.ieee.org/document/11363520

Abstract

The integration of AI chatbots in digital learning has reshaped how students engage with content, instructors, and peers. However, limited research has explored how personality-driven chatbot designs can improve learning effectiveness and engagement. This study proposes an AI chatbot model incorporating five personality traits — empathy, humour, authoritativeness, peer-like collaboration, and adaptive flexibility — to create a more humanised and supportive learning experience. The chatbot will be developed using Natural Language Processing integrated with a Large Language Model to detect emotions, identify intent, and generate adaptive responses. A quasi-experimental study will be conducted with undergraduate students, comparing an experimental group (enhanced personality chatbot) and a control group (baseline chatbot without these traits). Learner engagement, motivation, and learning experience will be measured using validated instruments such as the Student Engagement Questionnaire, Instructional Materials Motivation Survey (IMMS), and an adapted USE Questionnaire. It is expected that the proposed model will improve student motivation, engagement, and satisfaction while offering insights into how emotionally intelligent AI can enhance personalised education. This research will contribute to human-centred educational AI and highlight the value of personality-driven chatbot design in creating trustworthy, empathetic, and effective learning technologies.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Educational chatbots, Artificial Intelligence, Large Language Model, learner engagement, learner motivation, learning experience
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr. Elin Eliana Abdul Rahim
Date Deposited:	06 May 2026 12:29
Last Modified:	06 May 2026 12:29
Queue Number:	2026-04-Q3051
URI:	http://irep.iium.edu.my/id/eprint/127603

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