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DC Field | Value | Language |
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dc.contributor.author | Mahroof, A. | - |
dc.contributor.author | Gamage, V. | - |
dc.contributor.author | Rajendran, K. | - |
dc.contributor.author | Rajkumar, S. | - |
dc.contributor.author | Rajapaksha, S. | - |
dc.contributor.author | Wijendra, D. | - |
dc.date.accessioned | 2022-02-23T03:44:42Z | - |
dc.date.available | 2022-02-23T03:44:42Z | - |
dc.date.issued | 2020-12-10 | - |
dc.identifier.issn | 978-1-7281-8412-8 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/1357 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Deep Neural Network | en_US |
dc.subject | Natural Language Tool Kit | en_US |
dc.subject | Name Entity Recognition | en_US |
dc.title | An AI based Chatbot to Self-Learn and Self-Assess Performance in Ordinary Level Chemistry | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC51239.2020.9357131 | en_US |
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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An_AI_based_Chatbot_to_Self-Learn_and_Self-Assess_Performance_in_Ordinary_Level_Chemistry.pdf Until 2050-12-31 | 435.42 kB | Adobe PDF | View/Open Request a copy |
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