Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students

Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students

The main purpose of educational institutions is to provide quality education to their students. However, it is difficult to analyze large data manually. Educational data mining is more effective as compared to statistical methods used to explore data in educational settings to analyze students'...

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Bibliographic Details
Main Authors: Amjad, S. (Author), Anwar, M. (Author), Gani, A. (Author), Shaheen, Q. (Author), Shiraz, M. (Author), Younas, M. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Academic performance
Adaptive boosting
Classification (of information)
Data mining
Data-mining techniques
Decision trees
Economic and social effects
Educational institutions
High school students
Large data
Performance
Quality education
Random forests
Social media
Social networking (online)
Student performance
Students
Support vector machines
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