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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40560
Volume:
9 |
1 |
Jan 2025
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.
Online learning or distance virtual learning has attracted a couple of gathering primarily due to the way that it licenses taking up guidance free of individual establishment and region. The essential purpose in giving tutoring is to help with additional fostering the learning consequences of the students. In any case, the course satisfaction rates for the online course programs are exceptionally low. In this endeavor, the central objective is forecast of student execution result. Prescient model would be made through a couple of examinations by applying different AI and data mining calculations explicitly KNN, Random woods, Gradient Boost, Multi Layer Perceptron brain organization model and RNN LSTM model. The dataset that would be used is Open University Learning Analytics Dataset (OULAD) which includes portion and snap stream data for the students. In the ongoing scene, technology has immensely advanced and the corporate regions have taken on late techniques for proceeding with bargains. Through mechanical progress, affiliations and corporate establishments have had the choice to exploit current calculations that have broadly additionally fostered how organizations are coordinated. Artificial Intelligence and AI propels have immensely additionally fostered the calculations used in business dynamic. Headways like the use of distributed computing, and the gigantic data have been exploited commonly in making corporate affiliation and adventures achieve set targets. Further the calculations have additionally fostered the gadgets used in data mining, assessment and reporting making organizations process clear and strong. Data mining instruments have made it functional for relationship to exploit the enormous data space to make more instructed decisions. This has added to progress of the customary usage of data and assessment chipping away at the cheating to better business displays.
KEYWORDS
Publication Date
7/31/2025
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.
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