Students’ Activeness Measure in Moodle Learning Management System Using Machine Learning Article Swipe
Chandrakumar Thangavel
,
S E Valliammai
,
Amritha P. P
,
Karthik Chandran
,
S. Chowdhury
,
Thi Hoai Thu Nguyen
,
Bo Quoc Bao
,
Duc–Tan Tran
,
Duc-Nghia Tran
,
D. Trang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.37385/jaets.v6i1.6128
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.37385/jaets.v6i1.6128
Due to COVID-19, the need for online education has increased worldwide, prompting students to shift from traditional learning methods to online platforms as guided by higher education departments. Higher learning institutes are focused on developing constructive online learning platforms. This research aims to measure students’ academic performance on an online learning platform – Moodle Learning Management System (LMS) – using machine learning techniques. Moodle LMS, a popular free and open-source system, has seen significant growth since the COVID-19 lockdown. Many researchers have analyzed student performance in online learning, yet there remains a need to predict academic outcomes effectively. In this study, data were collected from a higher learning institute in Tamil Nadu, and linear regression was applied to predict students' final course outcomes. The analysis, based on students' activity in Moodle LMS across both theory and laboratory courses, helps faculty identify students at risk of failing and adjust instructional methods and assignments accordingly. This approach aims to reduce failure rates by providing timely warnings and encouraging students to improve their engagement with LMS resources.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.37385/jaets.v6i1.6128
- https://journal.yrpipku.com/index.php/jaets/article/download/6128/3735
- OA Status
- gold
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405410077
All OpenAlex metadata
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https://openalex.org/W4405410077Canonical identifier for this work in OpenAlex
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https://doi.org/10.37385/jaets.v6i1.6128Digital Object Identifier
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Students’ Activeness Measure in Moodle Learning Management System Using Machine LearningWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-12-15Full publication date if available
- Authors
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Chandrakumar Thangavel, S E Valliammai, Amritha P. P, Karthik Chandran, S. Chowdhury, Thi Hoai Thu Nguyen, Bo Quoc Bao, Duc–Tan Tran, Duc-Nghia Tran, D. TrangList of authors in order
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https://doi.org/10.37385/jaets.v6i1.6128Publisher landing page
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https://journal.yrpipku.com/index.php/jaets/article/download/6128/3735Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journal.yrpipku.com/index.php/jaets/article/download/6128/3735Direct OA link when available
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Measure (data warehouse), Learning Management, Computer science, Machine learning, Artificial intelligence, Mathematics education, Multimedia, Psychology, DatabaseTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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