An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot

  • Olusegun Gbenga College of Computing and Communication Studies, Bowen University, Iwo, Nigeria
  • Temilola Okedigba College of Computing and Communication Studies, Bowen University, Iwo, Nigeria
  • Halleluyah Oluwatobi College of Computing and Communication Studies, Bowen University, Iwo, Nigeria
Keywords: Enquiry system, Chatbot, Artificial Intelligence, University, IBM Watson, Botium

Abstract

A model for real-time response on admission related enquiries was developed in this research with the aim of bridging the lag usually experienced through the conventional approach of phone call and email. The model was implemented using IBM Watson to design a Chatbot for rapid response to admission enquiries. Botium was used to evaluate the performance of the Chatbot which gave an accuracy of 95.9% with instance of 212successful test cases and 9failed test cases. The approach introduces users to new and emerging technological solutions for optimal and rapid response in the educational sector.

References

. O’Keefe, T. (2018). Enquiry-based Learning. Concept to Classroom. Retrieved from edonline: https://www.thirteen.org/edonline/concept2c lass/about.html

. de Juan-Jordan, H., Guijarro-Garcia, M., & Hernandez Gadea, J. (2018). Feature Analysis of the "Customer Relationship Management" Systems for Higher Education Institutions. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1). Retrieved from https://doi.org/10.4995/muse.2018.9232

. Guvindan Raju, K., Adams, C., & Srinivas, R. (2018). "Cognitive Virtual Admissions Counselor". SMU Data Science Review, 1(1), 6. Retrieved from https://scholar.smu.edu/datasciencereview/v ol1/iss1/6

. Sajjad, H. (2017). Chatbot: Implementation and User Engagement. Bachelor of Engineering, Metropolia University of Applied Sciences, Helsinki.

. Nuromedia. (2017). AI, Machine Learning & Chatbots. Retrieved December 11, 2018, from Nuromedia: https://www.nuromedia.com/machine- learning/

. Newlands, M. (2018). The Definitive Guide to Chatbots: These Bots Are Here to Serve. Retrieved December 01, 2018, from Entrepreneur: https://www.entrepreneur.com/article/306386

. Kjersti, B. (n.d.). The Chatbot Will See You Now. Can chatbots be a supplementary element in doctor-patient communication? Norwegian University of Science and Technology.

. Meulen, R. v. (2016). Gartner Says by 2019, 20 Percent of User Interactions with Smartphones Will Take Place via VPAs [Press release]. Retrieved November 26, 2018, from Gartner: https://www.gartner.com/newsroom/id/3551217

. Nikolas, P. (2014). Chatbot for Admissions. Master’s thesis, University of Birmingham, Birmingham.

. Tarun, L., Shashank, B., Ashish, P., Shreya, B., & Vasundhara, R. (2018). Implementation of a Chatbot System using AI and NLP. International Journal of Innovative Research in Computer Science & Technology (IJIRCST), 6(3), 26.

. Wilson, N. (2018). Interactive Advising with Bots: Improving Academic Excellence in Educational Establishments. American Journal of Operations Management and Information Systems, 3(1), 6.

. Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017). Chatbot for University Related FAQs. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), (pp. 1525-1530). Udupi. doi:10.1109/ICACCI.2017.8126057

. Thakur, N., Hiwrale, A., Selote, S., Shinde, A., & Mahakalkar, N. (2017). Artificially Intelligent Chatbot. Universal Research Reports, 4(6), 43.

. Adams, C., Raja, K. G., & Srinivas, R. (2018). Cognitive Virtual Admissions Counselor. SMU Data Science Review, 1(1). Retrieved from https://scholar.smu.edu/datasciencereview/v ol1/iss1/6

. Rachit, K., Ankit, M., Nakul, P., & Charmi, V. (2017). College Chat-bot. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 6(4).

Published
2020-06-15
How to Cite
Gbenga, O., Okedigba, T., & Oluwatobi, H. (2020). An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot. International Journal of Computer (IJC), 38(1), 123-131. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1662
Section
Articles