Enhancing Sustainability in Academic Guidance: Develop an AI-Driven Agent for Education 5.0

Yiting, Qiu and Munir Hayet, Khan and Shuqing, Zhu and SiYuan, Chen and Choonkit, Chan (2024) Enhancing Sustainability in Academic Guidance: Develop an AI-Driven Agent for Education 5.0. INTI JOURNAL, 2024 (40). pp. 1-10. ISSN e2600-7320

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Abstract

This study aims to develop a Multimodal Artificial Intelligence (AI) Agent named "Academic Quick Guide", specifically designed for academic guidance in the Education 5.0 era. By utilizing generative AI techniques and following Design Science Research Methodology (DSRM) processes, the research seeks to create a user-centric AI Agent that streamlines education management and improves academic advisory efficiency. Incorporating advanced features such as Knowledge Databases and Prompt Engineering, this AI Agent is expected to enhance user experience, facilitate decision-making, and improve academic outcomes sustainably. Serving as a 24*7 self-service academic advisor, this AI Agent will be available around the clock to support student' academic needs in a timely and effective manner. Leveraging the Qwen Large Language Model (LLM) and the concept of "Model as a Service" (MaaS), this AI Agent will promote sustainability in educational environments by optimizing resource utilization, enriching learning experiences, and providing personalized academic support.

Item Type:	Article
Uncontrolled Keywords:	Multimodal AI Agent, Qwen LLM, Model as a Service, User experience
Subjects:	L Education > L Education (General) L Education > LC Special aspects of education Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	04 Nov 2024 02:39
Last Modified:	19 Nov 2024 08:42
URI:	http://eprints.intimal.edu.my/id/eprint/2010

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