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Advancing Learning Outcomes in Physics Education through Artificial Intelligence Integration

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  • Adnan Younis

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.

Suggested Citation

  • Adnan Younis, 2025. "Advancing Learning Outcomes in Physics Education through Artificial Intelligence Integration," European Journal of Education and Pedagogy, European Open Science, vol. 6(5), pages 34-39, September.
    • Handle: RePEc:epw:ejedu0:v:6:y:2025:i:5:id:30996
    DOI: 10.24018/ejedu.2025.6.5.996
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    References listed on IDEAS

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    1. Karmen Drljić & Sonja Čotar Konrad & Sonja Rutar & Tina Štemberger, 2025. "Digital Equity and Sustainability in Higher Education," Sustainability, MDPI, vol. 17(5), pages 1-15, February.
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