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 HashashInstructional Associate Professor, Biology, Texas A&M University, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence Technology Methods, Project-Based Learning, Student Learning, Pedagogy
