Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1357
Title: An AI based Chatbot to Self-Learn and Self-Assess Performance in Ordinary Level Chemistry
Authors: Mahroof, A.
Gamage, V.
Rajendran, K.
Rajkumar, S.
Rajapaksha, S.
Wijendra, D.
Keywords: Natural Language Processing
Deep Neural Network
Natural Language Tool Kit
Name Entity Recognition
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: Education is one of the fast-growing fields in the global perspective. Advancement of technology can be used in this sector to provide an effective and a valuable education system. In general, the students are more attracted to displays rather than the textbooks. In Sri Lanka, there is an inadequacy of resources and teachers cannot provide one on one attention to the students. Sri Lanka is not equipped with any platform to self-learn or self-evaluate their performance using an application either. Fortunately, “Edubot” acts as a solution for the stated research gap by providing a self-learning and self-evaluating AI based chatbot platform for Ordinary Level students in Chemistry domain. The self-learning component will provide the students a classroom environment by providing interactive tutorials. Explanatory responses would be given by Edubot by capturing doubts raised by the students and the self-evaluating component will provide an exam-based environment in which the Edubot auto generates the question and answers. The research finding shows that each component has an accuracy of more than 70 percent and helps to achieve the main goal of increasing the resources available to the ordinary level students in the Chemistry domain. This would then lead to an increase in the pass rate of the chemistry subject in the G.C.E Ordinary Level exam.
URI: http://rda.sliit.lk/handle/123456789/1357
ISSN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Research Papers - IEEE
Research Publications -Dept of Information Technology

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