Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1967
Title: Guru Gedara: Smart Mathematical e-learning Platform for Grade Five Students
Authors: Rajapaksha, S. K
Thilakarthna, T
Wijesundara, W. G. M. V. S
Wickramasooriya, M, K
Ekanayake, E. M. O. M
Katupitiya, S. R. M. J. S
Keywords: Video base techniques
Question generation
Speech recognition
Sentiment analysis
Artificial Intelligent (AI)
Natural Language Processing (NLP)
natural language tool kit (nltk)
Machine Learning (ML)
Convolution Neural Network (CNN)
Issue Date: 24-Feb-2021
Publisher: Department of Computing and Information Systems, Faculty of Applied Sciences, Sabaragamuwa University of Sri Lanka, PO Box 02, Belihuloya, 70140, Sri Lanka.
Series/Report no.: INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN COMPUTING;
Abstract: This paper introduces a web-based educational support system developed aiming optimize mathematical knowledge of Grade 5 students. This application can be also used as a distance learning method for the lockdown situations occurred due to COVID-19 pandemic. Both primary class students and teachers face various difficulties, due to competitiveness of grade 5 scholarship examination. Consequently, emotion analysis which is a sub section in this system, uses sentiment analyzing to boosts the students’ emotional state, while Automated MCQ generated sub section can be used to gain mathematical knowledge, by facing MCQ quizzes. Additionally, Smart Video-based Learning Environment sub section can be used to gain knowledge related to mathematics by searching relevant videos, besides the Voicebased Question Answering section can be used to get answers orally for the questions asked in voice format. However, some sections use IQ level of each student to provide better solutions. Above all, it can be used at home as an online service while identifying and solving student’s weakness.
URI: http://rda.sliit.lk/handle/123456789/1967
ISSN: 2773-7136
Appears in Collections:Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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