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.
Artificial Neural Networks(ANN); Classification and Regression Tree (CART); Decision Tree (DT); Learning Management System(LMS); Massive Open Online Courses (MOOCs); Virtual Learning Environment(VLE); Computer aided instruction; E-learning; Learning systems; Neural networks; Students; Teaching; Classification and regression tree; Classification trees; Decision tree; Learning management system; Massive open online course; Online course; Regression trees; Teachers'; Virtual learning environments; Decision trees
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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