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Student performance prediction in e-learning system and evaluating effectiveness of online courses
2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023 ; 2023.
Article in English | Scopus | ID: covidwho-2292357
ABSTRACT
In recent years, the number of online courses in India has skyrocketed especially due to the Covid pandemic. The most significant increments have happened in degree colleges, where 85% concur that internet based courses are important for their drawn-out procedure when contrasted with 60% in 2015. The distribution of online courses has evolved dramatically as technology has advanced. Web-based platform provides new challenges for both teachers and students. Teachers should be clear about the effectiveness of online learning in teaching students. For that, the possibilities of online learning should be compared with traditional learning. Students are evaluated based on their focus on online learning. This study aims to determine the efficacy of online courses by predicting student performance in an e-learning system. These research findings evaluate modern learning methods, highlight students' potential and help teachers understand how to assess and lead students on online platforms. © 2023 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Prognostic study Language: English Journal: 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Prognostic study Language: English Journal: 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023 Year: 2023 Document Type: Article