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@article{191332,
        author = {Anu Lata},
        title = {The Influence of Artificial Intelligence on Science Education},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {1-4},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191332},
        abstract = {The integration of artificial intelligence (AI) in science education is reshaping teaching practices, assessment, curriculum design, and learners’ epistemic practices. This paper synthesizes recent empirical and review literature (2013-2025) to answer: How does AI influence science learning outcomes, pedagogical practices, and assessment; what challenges and equity risks exist; and what design principles should guide responsible AI integration in science education? We find consistent evidence that AI-driven systems-intelligent tutoring systems (ITS), adaptive learning platforms, educational robotics, and large language models (LLMs) can improve formative feedback, scaffold inquiry, and personalize learning pathways, particularly in STEM domains. However, effects vary by context, teacher expertise, data quality, and assessment alignment. Ethical concerns (bias, transparency, data privacy) and teacher preparation remain primary barriers. We propose a socio-technical framework for integrating AI into science classrooms and outline mixed-methods designs to evaluate pedagogical impact, equity outcomes, and teacher change. Key recommendations emphasize teacher agency, curriculum alignment to scientific practices, transparency, and iterative evaluation.},
        keywords = {AI in Education, Intelligent Tutoring Systems, Large Language Models, Formative Assessment, Equity, Teacher Professional Development},
        month = {},
        }