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https://rda.sliit.lk/handle/123456789/961
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DC Field | Value | Language |
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dc.contributor.author | Silva, P.H.D.D. | - |
dc.contributor.author | Sudasinghe, S.A.V.D. | - |
dc.contributor.author | Hansika, P.D.U. | - |
dc.contributor.author | Gamage, M.P. | - |
dc.contributor.author | Gamage, M.P.A.W. | - |
dc.date.accessioned | 2022-02-07T06:32:56Z | - |
dc.date.available | 2022-02-07T06:32:56Z | - |
dc.date.issued | 2021-12-09 | - |
dc.identifier.issn | 978-1-6654-0862-2/21 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/961 | - |
dc.description.abstract | E-learning is a form of providing education by using electronic devices. Lack of proper mechanisms for encouraging and assisting students are key issues faced by many students in an e-learning environment. The ‘Vidu Mithuru’ is a question-based e-learning application which has been developed as a solution to overcome these problems. This mobile application will auto generate and categorize the questions, evaluate the answers and track the performance while providing motivational quotes by detecting the emotions of the student. This mobile application is based on Neural Networks, Natural Language Processing and Machine Learning concepts. In order to developing this application, the information provided by the primary education professionals was used to comply with the standards. The core objective of the proposed solution is to track the performance level and assist the students to improve in their studies while keeping them motivated. The trained Machine Learning models have achieved the accuracy of 75%, 78%, 99% and 86% for question categorization model, speech emotion detection model, facial emotion detection model and model to evaluate answers as respectively. We have received favorable responses as the results after testing the developed ‘Vidu Mithuru’ mobile application | en_US |
dc.description.sponsorship | Co-Sponsor:Institute of Electrical and Electronic Engineers (IEEE) Academic sponsor:SLIIT UNI Gold Sponsor :London Stock Exchange Group (LSEG) | en_US |
dc.language.iso | en | en_US |
dc.publisher | 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT | en_US |
dc.subject | emotion detection | en_US |
dc.subject | generate questions | en_US |
dc.subject | track performance | en_US |
dc.subject | deep learning | en_US |
dc.subject | machine learning | en_US |
dc.title | AI Base E-Learning Solution to Motivate and Assist Primary School Students | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC54203.2021.9671209 | en_US |
Appears in Collections: | 3rd International Conference on Advancements in Computing (ICAC) | 2021 Department of Information Technology-Scopes Research Papers - IEEE Research Publications -Dept of Information Technology |
Files in This Item:
File | Description | Size | Format | |
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AI_Base_E-Learning_Solution_to_Motivate_and_Assist_Primary_School_Students.pdf Until 2050-12-31 | 1.86 MB | Adobe PDF | View/Open Request a copy |
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