Chatbot in E-learning

Hussain, Saqib; Al-Hashmi, Safa Hamood; Malik, Mazhar Hussain; Ali Kazmi, Syed Imran

Abstract

In many modern apps, especially those that provide the user intelligence help, the usage of chatbots is quite common. In reality, these systems frequently have chatbots that can read user inquiries and give the appropriate replies quickly and accurately in order to speed up the support. This article describes the creation of a Chatbot prototype for the educational sector. A system for offering assistance to university students in certain courses has been established. The first goal was on the creation of the particular architecture, model to handle communication, and supply the learner with the correct answers. A system that can recognize questions and provide answers to students by utilizing natural language processing methods has been developed to achieve this goal. After the developed model was put into use, an experimental campaign was run to show how effective and enforceable it was.

Citation

Hussain, S., Al-Hashmi, S. H., Malik, M. H., & Ali Kazmi, S. I. (2023). Chatbot in E-learning. In SHS Web of Conferences: International Conference on Teaching and Learning – Digital Transformation of Education and Employability (ICTL 2022). https://doi.org/10.1051/shsconf/202315601002

• Conference Name: International Conference on Teaching and Learning – Digital Transformation of Education and Employability (ICTL 2022)
• Conference Location: Middle East College, Oman
• Start Date: Nov 15, 2022
• End Date: Nov 16, 2022
• Acceptance Date: Oct 19, 2022
• Online Publication Date: Jan 13, 2023
• Publication Date: Jan 13, 2023
• Deposit Date: Mar 15, 2023
• Publicly Available Date: Mar 15, 2023
• Volume: 156
• Series Title: SHS Web of Conferences
• Series ISSN: 2261-2424
• Book Title: SHS Web of Conferences: International Conference on Teaching and Learning – Digital Transformation of Education and Employability (ICTL 2022)
• DOI: https://doi.org/10.1051/shsconf/202315601002
• Keywords: Chatbot; Artificial Intelligence; Natural Language; Processing; JAVA; SQL; Database
• Public URL: https://uwe-repository.worktribe.com/output/10553090
• Publisher URL: https://www.shs-conferences.org/articles/shsconf/abs/2023/05/shsconf_ictl2023_01002/shsconf_ictl2023_01002.html
• Related Public URLs: https://mec.edu.om/ictl2022/; ; https://www.shs-conferences.org/component/issues/