Integrating Artificial Intelligence-mediated Project-based Learning: Innovative Solutions to Improve Student Learning

Abstract

Various constraints of the learning environment can cause a difficulty for students to learn in depth and understand its significance in real-world practice. Therefore, educational involvements, including artificial intelligence (AI)-enabled technology methods and project-based learning (PjBL) that foster students’ self-directed learning skills and engagement and encourage their flexible learning, are needed. The overall goal of our study/project is to promote student success by providing an opportunity to students to develop more self-directed, active, and deep learning skills using innovative integrated AI-mediated project-based learning. Our promising data and expectations indicate that this integration can improve student critical-thinking and engagement and arouse students’ self-directed, active, and deep learning skills. This study/project will help with facing various important education and learning challenges in small/large classes, and lead to enhance student success. It can have important implications for students, instructors, and curriculum designers in higher education, and help to face various challenges of science education and learning.

Presenters

Dr. Ahmed Hashash
Instructional Associate Professor, Biology, Texas A&M University, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2025 Special Focus—Learning from Artificial Intelligence: Pedagogical Futures and Transformative Possibilities

KEYWORDS

Artificial Intelligence Technology Methods, Project-Based Learning, Student Learning, Pedagogy