An Effective Learning Management System for Revealing Student Performance Attributes Article Swipe
Xinyu Zhang
,
Vincent CS Lee
,
XU Duo
,
Jun Chen
,
Mohammad S. Obaidat
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.13822
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.13822
A learning management system streamlines the management of the teaching process in a centralized place, recording, tracking, and reporting the delivery of educational courses and student performance. Educational knowledge discovery from such an e-learning system plays a crucial role in rule regulation, policy establishment, and system development. However, existing LMSs do not have embedded mining modules to directly extract knowledge. As educational modes become more complex, educational data mining efficiency from those heterogeneous student learning behaviours is gradually degraded. Therefore, an LMS incorporated with an advanced educational mining module is proposed in this study, as a means to mine efficiently from student performance records to provide valuable insights for educators in helping plan effective learning pedagogies, improve curriculum design, and guarantee quality of teaching. Through two illustrative case studies, experimental results demonstrate increased mining efficiency of the proposed mining module without information loss compared to classic educational mining algorithms. The mined knowledge reveals a set of attributes that significantly impact student academic performance, and further classification evaluation validates the identified attributes. The design and application of such an effective LMS can enable educators to learn from past student performance experiences, empowering them to guide and intervene with students in time, and eventually improve their academic success.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2403.13822
- https://arxiv.org/pdf/2403.13822
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4393112517Canonical identifier for this work in OpenAlex
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https://doi.org/10.48550/arxiv.2403.13822Digital Object Identifier
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An Effective Learning Management System for Revealing Student Performance AttributesWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-03-05Full publication date if available
- Authors
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Xinyu Zhang, Vincent CS Lee, XU Duo, Jun Chen, Mohammad S. ObaidatList of authors in order
- Landing page
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https://arxiv.org/abs/2403.13822Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2403.13822Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2403.13822Direct OA link when available
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Learning Management, Computer science, Knowledge management, Mathematics education, Process management, Psychology, BusinessTop 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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