@article{Gbenga_Okedigba_Oluwatobi_2020, title={An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot}, volume={38}, url={https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1662}, abstractNote={<p>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.</p>}, number={1}, journal={International Journal of Computer (IJC)}, author={Gbenga, Olusegun and Okedigba, Temilola and Oluwatobi, Halleluyah}, year={2020}, month={Jun.}, pages={123–131} }