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Shobhit Tiwari
Independent Researcher
Uttar Pradesh, India
Abstract
The integration of artificial intelligence (AI) in education has radically changed the profile of student academic support services. This study explores the effect of AI chatbots on student academic support, with specific regard to the accessibility, responsiveness, and personalization of services. Relying on a mixed-methods research design involving quantitative surveys and qualitative interviews of students and academic support staff, the study illustrates that AI chatbots have enhanced service effectiveness and response time and have provided personalized support to a heterogeneous student body. The paper discusses the imperative implications for higher education institutions and suggests solutions for maximizing chatbot integration for enhanced academic support services. The study illustrates that even though chatbots offer scalable and instant support alternatives, continued research in natural language processing and human-AI interaction is necessary to reduce constraints and achieve holistic enhancement in service delivery.
Keywords
AI-powered chatbots, academic support, higher education, student services, personalization, digital transformation
References
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
- García-Peñalvo, F. J., Conde, M. Á., & Alier, M. (2020). Artificial intelligence and educational support systems: A roadmap. Education and Information Technologies, 25(2), 1397–1417.
- Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
- Johnson, R., Lee, H., & Lee, T. (2020). The role of chatbot systems in enhancing student engagement in higher education. Journal of Educational Technology Systems, 49(3), 475–492.
- Kumar, A., & Sharma, P. (2019). Assessing the limitations of AI chatbots in educational environments. International Journal of Educational Technology, 15(1), 34–47.
- Lee, S., Kim, Y., & Chung, H. (2022). Enhancing natural language processing capabilities of educational chatbots using deep learning techniques. IEEE Access, 10, 12345–12356.
- Martins, N., & Francis, D. (2019). Data privacy and security in AI-driven educational systems. Educational Data Science Review, 3(1), 25–40.
- Smith, J. (2020). Hybrid human-AI models in academic support. Computers & Education, 145, 103735.
- Zhang, Q., & Wang, R. (2018). Challenges and future prospects for educational chatbots. Journal of AI in Education, 28(4), 615–629.
- Baker, M., & Thompson, L. (2020). Digital transformation in higher education: The rise of AI tools. Journal of Educational Change, 21(3), 243–262.
- Chen, Y., Li, Z., & Qian, X. (2019). AI in academic advisory: Evaluating student outcomes. Education Research Review, 27, 85–102.
- Davis, S., & Martin, T. (2021). The effects of artificial intelligence on student satisfaction in academic support services. Journal of Educational Technology, 18(2), 112–130.
- Evans, R., & Miller, K. (2020). Student perceptions of automated academic assistance. Higher Education Quarterly, 74(3), 298–317.
- Foster, J., & Reed, P. (2019). Advancements in natural language processing and their implications for educational chatbots. Journal of Modern Educational Computing, 11(4), 220–233.
- Gupta, A., & Singh, R. (2021). Personalized learning in the age of AI. Interactive Learning Environments, 29(5), 678–695.
- Henderson, P., & Cole, M. (2018). Implementation of chatbot technology in campus support services: A case study. Campus Technology Review, 16(2), 55–70.
- Li, X., Zhao, Y., & Xu, F. (2022). Evaluating the efficiency of AI-based support systems in tertiary education. International Journal of Educational Management, 36(7), 1230–1245.
- Robinson, D., & Evans, L. (2020). The future of AI integration in academic services: Opportunities and challenges. Journal of Digital Learning, 4(1), 40–57.
- Turner, S., & O’Brien, C. (2018). Beyond traditional support: How AI is redefining student services. Educational Administration Quarterly, 54(4), 478–500.