An investigation of novel features for predicting student happiness in hybrid learning platforms – An exploration using experiments on trace data

An investigation of novel features for predicting student happiness in hybrid learning platforms – An exploration using experiments on trace data

The current study investigated the novel factors influencing informatics students' happiness and satisfaction using statistical and machine learning algorithms. A statistical t–test proved that the students in the younger age group (<=20) who were enrolled in bachelor's programs (B.Sc.)...

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Bibliografiske detaljer
Main Authors: Chaman Verma, Zoltán Illés, Deepak Kumar
Format: Article
Sprog:English
Udgivet: Elsevier 2024-04-01
Serier:International Journal of Information Management Data Insights
Fag:
Factor analysis
Hybrid learning
Prediction
Classification
Satisfaction
Happiness
Online adgang:http://www.sciencedirect.com/science/article/pii/S2667096824000089

Internet

http://www.sciencedirect.com/science/article/pii/S2667096824000089

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