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

• Main Authors: Yiting, Qiu, Munir Hayet, Khan, Shuqing, Zhu, SiYuan, Chen, Choonkit, Chan
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: L Education (General); LC Special aspects of education; QA76 Computer software
• Online Access: http://eprints.intimal.edu.my/2010/1/ij2024_40.pdf; http://eprints.intimal.edu.my/2010/2/550; http://eprints.intimal.edu.my/2010/; https://intijournal.intimal.edu.my

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.