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@article{172235,
        author = {A JASMINE CHRISTY},
        title = {Integrating AI-Driven Chatbots in Social Media for Real-Time Student Support and Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2392-2395},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172235},
        abstract = {The integration of AI-driven chatbots into social media platforms is revolutionizing student support and communication in higher education. These chatbots utilize natural language processing and machine learning to offer 24/7 real-time assistance, addressing a range of student needs from administrative tasks and academic guidance to mental health support. By embedding chatbots in popular social media platforms such as Facebook, WhatsApp and Twitter, institutions can provide personalized, efficient and scalable communication solutions. This article examines the benefits of AI chatbots, including enhanced student engagement, cost-efficiency and improved accessibility, while also addressing challenges like data privacy concerns, limitations in handling complex queries and resistance to change. Looking ahead, the future of AI-driven chatbots in education promises further advancements, enabling more sophisticated interactions and expanding their role in student services. Effective implementation and ongoing refinement of these technologies can significantly improve the student experience, streamlining communication and support processes in an increasingly digital learning environment.},
        keywords = {AI-driven chatbots, student support, higher education, social media integration, student engagement.},
        month = {January},
        }