LeadEval: aI-driven personalized assessment

Yazid, Zaleha and Wan Salleh, Wan Muhamad Salahudin and Abd. Rahim, Nour El Huda (2024) LeadEval: aI-driven personalized assessment. In: International University Carnival On E-Learning (IUCEL 2024) X Kongres Dan Pertandingan Inovasi Pengajaran & Pembelajaran Ukm (kNOVASI 2024), 5 Sept 2024, Bangi Avenue Convention Centre.

	PDF - Published Version Restricted to Repository staff only Download (879kB) | Request a copy
Preview	PDF - Supplemental Material Download (95MB) | Preview
Preview	PDF - Supplemental Material Download (3MB) | Preview
	PDF - Supplemental Material Restricted to Repository staff only Download (394kB) | Request a copy

Abstract

The integration of advanced AI technologies into educational systems has the potential to revolutionize the learning and assessment process. This paper presents the development of LeadEval which is specially designed for the Leadership and Administration Excellence course at the Faculty of Economics and Management, Universiti Kebangsaan Malaysia. The system aims to facilitate the course coordinator's role by automating quiz creation and assessment. Using state-of-the-art natural language processing capabilities, LeadEval generates Multiple Choice Questions (MCQ), Multiple True-False (MTF), and Case Studies questions aligned with the course's learning outcomes. This innovation is expected to enhance the efficiency of course management and improve the assessment process, thereby contributing to the overall educational experience of the students. By leveraging AI, educators can focus more on teaching and less on administrative tasks, leading to a more engaging and effective learning environment. LeadEval’s ability to continuously learn and adapt to new content ensures that it remains a valuable tool in the ever-evolving educational landscape. The results from initial implementations indicate a significant improvement in the quality and relevance of quiz questions, highlighting the potential of AI in transforming educational assessment.

Item Type:	Proceeding Paper (Slide Presentation)
Uncontrolled Keywords:	CustomGPT, Quiz Assessment, AI in Education, Natural Language Processing, Higher Education
Subjects:	A General Works > AI Indexes (General) L Education > L Education (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Medicine > Department of Basic Medical
Depositing User:	dr wan muhamad salahudin wan salleh
Date Deposited:	10 Sep 2024 10:18
Last Modified:	10 Sep 2024 10:28
URI:	http://irep.iium.edu.my/id/eprint/114321

Actions (login required)

View Item