Transforming Physics Education With Generative Ai: Exploring Benefits and Barriers in Today’s Classrooms
Year: 2026
Type: article
Abstract: Emergence of Generative Artificial Intelligence (Gen-AI) has significantly reshaped the landscape of science education, with profound implications for teaching and learning in physics. Tools like Chat GPT, AI-driven tutors and simulation-based technologies are redefining instructional methods and enhancing students’ engagement with complex physics concepts. Given the abstract nature and mathematical demands of physics, Gen-AI provides real-time, tailored support that helps learners connect theoretical knowledge with practical understanding. This paper explores the transformative potential of Gen-AI in modern physics classrooms by examining its role in improving teaching strategies, encouraging inquiry-based learning and enabling personalized instruction. It highlights key benefits, including the creation of interactive learning resources, instant feedback mechanisms and AI-facilitated virtual experiments that foster deeper comprehension and engagement. Simultaneously, it explores critical challenges such as ethical concerns, academic dishonesty, unequal access to technology and the pressing need for teacher training. Drawing on current studies, practical applications and emerging trends, the paper presents a comprehensive view of both the opportunities and limitations of Gen-AI in physics education. It concludes with actionable recommendations aimed at guiding educators, developers and policymakers toward the ethical and effective integration of Gen-AI tools in the classroom.
Source: Gombe Journal of Education
Author: Suleiman Asma’u Itakure
Institution: FCT College of Education
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7220101091