Chatbots in Higher Education: Enhancing Student Support Services
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ID: 283899
2025
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Abstract
The rapid development of the digital technologies has altered the circumstances in the sphere of higher education, and universities start to find new ways of communication with their students and ways of supporting them. One of these technologies includes chatbots, which are automated conversational agents, and have become a productive technology to improve communication, access, and efficiency in the academic environment. The paper discusses the relevance of chatbots in improving the student support services in universities and colleges. It takes into account how artificial intelligence and natural language processing can be utilised to enable chatbots to provide timely support, be it administrative advice, course content, emotional support and academic advice. The study is based on the recent case studies and institutional implementations and demonstrates that chatbots ease the working load of repetitive tasks, reduce the response time, and improve the 24/7 access, which improves the student experience on the whole. Besides, the research explores the difficulties, which are tied to the use of chatbots like a lack of privacy of information, language barrier, and the need to have extra human control to provide empathy and comprehend the circumstances. The importance of chatbots incorporation into a blended model of support that integrates the performance of human professionals with the digital responsiveness is also addressed in the paper. The findings suggest that chatbots can be used properly and controlled ethically to enhance the traditional systems that provide support to students, promote student self-motivation, and bring efficiency to the institutions. Lastly, the study finds that chatbots represent a bright future of inclusive, data-driven, and learner-centred learning during the digital age provided that this process is guided by transparency, inclusivity, and educative purpose.
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| Authors | Dr. Sathe Amol Kundalik, Lembe Komal Rajendra, Mule Payal Shashikant, Kothawale Omkar Shantaram |
| Journal | International Journal of Integrated Research and Practice |
| Year | 2025 |
| DOI |
10.25215/31075037.069
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| URL | |
| Keywords | Keywords not found |
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