RULE-BASED COLLEGIATE INTERACTIVE SUPPORT SYSTEM
Keywords:
employees, SUPPORT SYSTEMAbstract
Efficient management of student inquiries is a common challenge in educational institutions. Frequent questions about fees, existence, and academic processes often slow and increase the workload of management staff. To address this issue, a regular educational bot was developed to provide immediate and automated answers to common queries. A interactive support system use sample recognition techniques to identify keywords and provide accurate information without including employees.
Integrating this system into the institution’s website will improve accessibility, streamline communication and reduce repetitive questions. This approach not only improves management efficiency, but also ensures that students and parents receive timely information and ultimately improve user satisfaction.
Downloads
References
1. Bickmore, T., & Cassell, J. (2005). Social dialogue with embodied conversational agents. In Advances in natural multimodal dialogue systems (pp. 23-54). Springer. https://doi.org/10.1007/1-4020-3933-6_2
2. Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.
3. Gebhard, P., & Kipp, M. (2006). Are computer-generated emotions and moods plausible to humans? In International Conference on Intelligent Virtual Agents (pp. 343-356). Springer. https://doi.org/10.1007/11821830_28
4. Kulkarni, A. (2022). Pillow (PIL Fork) Documentation. Python Imaging Library. Retrieved October 10, 2023, from https://pillow.readthedocs.io
5. McTear, M., Callejas, Z., & Griol, D. (2016). The conversational interface: Talking to smart devices. Springer. https://doi.org/10.1007/978-3-319-32967-3
6. Norman, D. A. (2013). The design of everyday things. Basic Books.
7. Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human–Computer Interaction, 36(6), 495-504. https://doi.org/10.1080/10447318.2020.1741118
8. Smith, J., & Canva Team. (2021). Canva Design School: Principles of visual communication. Canva. Retrieved October 10, 2023, from https://www.canva.com/designschool
9. Weizenbaum, J. (1966). ELIZA—A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45. https://doi.org/10.1145/365153.365168
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal for Research Publication and Seminar

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.