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@article{174939,
        author = {Dushant S. Rohane and Shailesh N. Khandate and Mayuri R. Shinde and Avanti S. Labde and Aditi U. Tiwari and Prof. R. U. Vaidya},
        title = {Personalized Learning Pathway For Engineering Students},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1225-1232},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174939},
        abstract = {In the evolving landscape of education, personalized learning is crucial for optimizing student engagement and academic growth. The Personalized Learning Pathway for Engineering Students is a MERN stack-based platform that provides an adaptive and structured learning experience. The system ensures secure authentication, granting students access to a dedicated dashboard where they can attempt quizzes and assignments. Simultaneously, administrators can manage and update assessments through a centralized admin panel. A dynamic progress tracking system continuously evaluates student performance, generating personalized recommendations and learning paths to enhance subject mastery. This real-time, data-driven approach empowers students with targeted resources, helping them improve in weaker areas. Developed using VS Code, the platform offers a scalable, interactive, and responsive learning environment tailored to individual needs, fostering a more effective and engaging academic journey.},
        keywords = {Assessment-Based Learning, MERN Stack, Progress Tracking.},
        month = {April},
        }