Advancing Learning Outcomes in Physics Education through Artificial Intelligence Integration
Year: 2025
Type: article
Abstract: The integration of artificial intelligence (AI) into Physics education has emerged as a prominent area of innovation in recent years. This study investigates the influence of AI-based tools on student learning outcomes, conceptual comprehension, and academic performance in four different introductory physics courses at the undergraduate level in the University of Bahrain. Through an analysis of engagement metrics, academic performance data, and student feedback collected from AI-enhanced instructional settings, it was evident that AI-supported pedagogical approaches can lead to measurable improvements in conceptual mastery, problem-solving proficiency, and overall learner satisfaction. These results suggest a potential paradigm shift in STEM education methodologies, highlighting the transformative role of AI in modern pedagogical practices.
Author: Adnan Younis
Institution: United Arab Emirates University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4414382879