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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24597
Volume:
7 |
7 |
Jul 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
To far, a number of tools have been developed for improving and assessing student performance. These technologies’ outputs can aid in decision-making, which raises student achievement. The tools and methods that have been developed in this field are surveyed in this paper. In order to analyze and forecast the outcomes based on many variables that can enhance student performance, this paper uses a machine learning method. This study also implies that cognitive modeling is a more effective method for enhancing decision-making skills and is valuable for creating high-quality software and performance analysis tools.
KEYWORDS
Publication Date
7/14/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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