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@article{176464,
        author = {Dr. Papiya Upadhyay and Dr. Pranay Pandey},
        title = {Personalizing Learning Pathways through Intelligent Tutoring Systems in Higher Education Scenario},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5592-5599},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176464},
        abstract = {This study explores the role of Intelligent Tutoring Systems (ITS) in personalizing learning pathways within higher education. ITS utilize artificial intelligence to deliver adaptive instruction tailored to individual learner needs, enhancing engagement, academic performance, and retention. Through a qualitative, review-based content analysis, the research investigates key adaptive features such as learner modeling, Bayesian Knowledge Tracing, affective computing, and reinforcement learning algorithms. It also examines student and educator perceptions, highlighting benefits like increased autonomy and real-time feedback, while acknowledging challenges related to usability and implementation. Strategic recommendations for optimizing ITS scalability include modular design, inclusive frameworks like Universal Design for Learning (UDL), faculty training, and continuous data-driven refinement. The findings suggest that ITS holds significant promise in addressing the diverse educational demands of higher education by fostering personalized, inclusive, and scalable learning environments. Future research is recommended to assess long-term impacts and interdisciplinary applications.},
        keywords = {Intelligent Tutoring Systems, Personalized Learning, Adaptive Learning, Higher Education, Educational Technology},
        month = {April},
        }