TEJAS Journal of Technologies and Humanitarian Science

Vishal Vikram Singh
Shri Ramswaroop Memorial University, Barabanki, India 225003

Author

Bineet Kumar Gupta
Shri Ramswaroop Memorial University, Barabanki, India 225003

Author

Satya Bhushan Verma
Department of Computer Science and Engineering, University of Lucknow, Lucknow

Author

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Abstract:

Artificial Intelligence (AI) is rapidly emerging as a catalyst for innovation in science education, transforming how knowledge is delivered, accessed, and applied. The integration of AI tools into teaching and learning processes has the potential to redefine educational paradigms by personalizing learning experiences, enhancing research capabilities, and fostering critical thinking and creativity among students. This paper examines the transformative role of AI in shaping the future of science education, highlighting both opportunities and challenges. AI- powered adaptive learning platforms can analyze learner behavior, identify knowledge gaps, and provide customized content that aligns with individual learning styles. Virtual laboratories and intelligent simulations allow students to experiment with complex scientific phenomena in safe, cost-effective, and scalable environments, thereby promoting experiential learning beyond traditional classrooms. Moreover, natural language processing tools and generative AI models are enabling interactive tutoring systems that provide real-time feedback, assist in problem-solving, and support collaborative learning across geographical boundaries.

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