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2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) 2022
DOI: 10.1109/icacta54488.2022.9752918
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Development of Machine Learning Based Framework for Classification and Prediction of Students in Virtual Classroom Environment

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Cited by 11 publications
(2 citation statements)
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“…However, the COVID-19 pandemic has presented challenges to student engagement and teacher instruction, making it challenging to find appropriate online platforms to support learners (Abbas et al, 2019;Bhagat & Kim, 2020). Studies have identified various issues in students' academic writing, including poor organization, inadequate vocabulary and word choice, improper language usage, weak sentence structure, and absence of citations (Fathi et al, 2019;Mercer, 2019, Loganathan et al, 2022, Magulod, 2018. This study examines the effectiveness of Viber as a support tool in ESL essay writing, drawing on engagement theory to understand the impact of this technology on student learning.…”
Section: Austin's Engagement Theorymentioning
confidence: 99%
“…However, the COVID-19 pandemic has presented challenges to student engagement and teacher instruction, making it challenging to find appropriate online platforms to support learners (Abbas et al, 2019;Bhagat & Kim, 2020). Studies have identified various issues in students' academic writing, including poor organization, inadequate vocabulary and word choice, improper language usage, weak sentence structure, and absence of citations (Fathi et al, 2019;Mercer, 2019, Loganathan et al, 2022, Magulod, 2018. This study examines the effectiveness of Viber as a support tool in ESL essay writing, drawing on engagement theory to understand the impact of this technology on student learning.…”
Section: Austin's Engagement Theorymentioning
confidence: 99%
“…Educational institutions utilize various the approaches used to gather data from a representative sample of students who are actively participating in the learning experience and are aimed at improving the performance of both teachers and students. It is possible to classify and forecast students in a virtual classroom using the approach described here [18]. e paper's primary goals are as follows:…”
Section: Introductionmentioning
confidence: 99%