Assessing the Effectiveness of Multimodal Data Fusion Techniques for automated proctoring sytem of Malpractice in Computer-Based Exams: A Systematic Review and Meta-Analysis of Proctoring Systems

Publication Details

Journal
Figshare
Published
2024-09-27
DOI
https://doi.org/10.6084/m9.figshare.27117444
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing the Effectiveness of Multimodal Data Fusion Techniques for automated proctoring sytem of Malpractice in Computer-Based Exams: A Systematic Review and Meta-Analysis of Proctoring Systems

Figshare
Academic integrity and plagiarism
article

Assessing the Effectiveness of Multimodal Data Fusion Techniques for automated proctoring sytem of Malpractice in Computer-Based Exams: A Systematic Review and Meta-Analysis of Proctoring Systems

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Abstract

No abstract available for this paper.
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Academic integrity and plagiarism
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Assessing the Effectiveness of Multimodal Data Fusion Techniques for automated proctoring sytem of Malpractice in Computer-Based Exams: A Systematic Review and Meta-Analysis of Proctoring Systems · Figshare (2024) | TGRS Research Map | TGRS