AI-EDAPT: Artificial Intelligence for Educational Adaptation, Personalization, and Transformation

Yahiaoui, Rashid (Principal Investigator)
Koc, Muammer (Principal Investigator)
Dimitropoulos, Georgios (Principal Investigator)
Alam, Firoj (Principal Investigator)
Mikros, Georgios (Lead Principal Investigator)
Riazi, Abdolmehdi (Principal Investigator)
Giustini , Deborah (Principal Investigator)
Bower, Matt (Consultant)
Ali, Lubna (Graduate Student)

Macquarie University

Project: Applied Research

Abstract

This project aims to revolutionize education at Hamad Bin Khalifa University (HBKU) by leveraging Generative Artificial Intelligence (GAI), particularly Educational Large Language Models (EduLLMs), for personalized learning. By developing a system that uses LLMs, such as LLaMA2 and ChatGPT, to monitor and analyze student interactions with GAI tools, it seeks to improve teaching methods, learning outcomes, and tailor educational practices to individual learning styles. The initiative involves customizing LLaMA2 for educational purposes, analyzing ChatGPT's impact on education, and evaluating how different learning styles interact with these technologies. The goal is to position HBKU as a frontrunner in AI-driven education, overcoming challenges like engagement and resource disparity and establishing a new standard for personalized learning with GAI.

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)

Sponsor's Award Number	HBKU-INT-VPR-SRG-02-02
Proposal ID	HBKU-OVPR-SRG-02-2
Status	Active
Effective start/end date	1/06/24 → 31/05/25

Collaborative partners

Hamad Bin Khalifa University (lead)
Macquarie University

Primary Theme

Artificial Intelligence

Primary Subtheme

AI - Education

Secondary Theme

Progressive Education

Secondary Subtheme

PE - Personalized Learning

Keywords

GAI
Personalized Education
Large Language Models