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@article{188635,
        author = {SONYMOL SKARIAH and Dr. RONU THOMAS},
        title = {AI-Driven Instructional Strategies in Secondary Physics Education: A Systematic Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3153-3161},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188635},
        abstract = {The systematic review examines how Artificial Intelligence (AI) is used in Physics instructional design in secondary schools. The engagement of students through personalised instruction will improve conceptual understanding. Technologies like Intelligent Tutoring Systems, conversational agents and adaptive learning platforms play a significant role. This review paper summarises the empirical results about the pedagogical impact of AI-based teaching approaches in Physics based on current empirical research. It highlights how AI facilitates the visualisation of difficult ideas, permits customised learning routes and facilitates real time feedback techniques. The present study addresses implementation related topics such as algorithmic bias, content accuracy, digital equity, infrastructure limitation, professional development opportunities and teacher training along with monitoring benefits. There is limited studies related to long term impact of Artificial Intelligence (AI) on retention, critical thinking and cognitive development. Most of the studies show promising short term results. Overall the paper focuses on how AI can revolutionise Physics education and calls for evidence based and thoughtful implementation techniques.},
        keywords = {Secondary education, Instructional strategies, Artificial Intelligence, Physics education},
        month = {December},
        }