Please use this identifier to cite or link to this item:
ir.bowen.edu.ng:8181/jspui/handle/123456789/1230| Title: | An improved rapid response model for University Admission enquiry system using Chatbot |
| Authors: | Lala, O. G. Okedigba, T. O. Aworinde, H. O. |
| Keywords: | Enquiry system Chatbot Artificial intelligence University IBM Watson Botium |
| Issue Date: | 2020 |
| Citation: | Lala, O. G., Okedigba, T. O.& Aworinde, H. O. (2020). An improved rapid response model for University Admission enquiry system using Chatbot. International Journal of Computer, 38(1), 121– 131. |
| 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. |
| URI: | ir.bowen.edu.ng:8080/jspui/handle/123456789/1230 |
| Appears in Collections: | Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1662-Article Text-4216-1-10-20200615.pdf | An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot | 641.36 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.