The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Efficient Student Behaviour Analysis in E-Learning Using Data Mining Approaches
|
|
Author(s): H. Riaz Ahamed (Bharath Institute of Higher Education and Research, India)and D. Kerana Hanirex (Bharath Institute of Higher Education and Research, India)
Copyright: 2024
Pages: 18
Source title:
Explainable AI Applications for Human Behavior Analysis
Source Author(s)/Editor(s): P. Paramasivan (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Karthikeyan Chinnusamy (Veritas, USA), R. Regin (SRM Institute of Science and Technology, India)and Ferdin Joe John Joseph (Thai-Nichi Institute of Technology, Thailand)
DOI: 10.4018/979-8-3693-1355-8.ch019
Purchase
|
Abstract
Recognising and assessing how pupils act is essential for customising educational opportunities and enhancing educational results in online learning. In particular, Support Vector Machine (SVM), Decision Tree (DT), and Naive Bayes (NB) are employed in this work to analyse the characteristics of pupil conduct in online educational settings. The main goal is to determine the best strategy for thoroughly comprehending how students communicate in online learning environments. Employing metrics like RMSE (Root Mean Square Error), RSE (Relative Absolute Error), and RRSE (Relative Root Square Error) to evaluate the outcome of DM (Data Mining) methods. The results show that SVM regularly beats DT and NB throughout all criteria, showing that it has a greater capacity to identify complex relationships in pupil activity records with RMSE of 0.02714, RAE of 0.00279 and RRSE of 0.02117, respectively. The tool used for execution is Jupyter Notebook, and the language used is Python.
Related Content
|
Kula A. Francis, Kenny A. Hendrickson.
© 2026.
26 pages.
|
|
Summyr Burton, Savannah Baus, Stephen A. Murphy.
© 2026.
50 pages.
|
|
Kesley Richardson, Colby Cavanaugh.
© 2026.
30 pages.
|
|
Angela M. Hill, Kevin B. Sneed, Deborah Austin, Deanna B. Wathington, Hiram B. Green, Michael B. Morgan, Janet B. Roman, Feng B. Cheng, John E. Clark, Natasha Rubie, Kristy Andre, Thea Moore, Antionette Davis, Feng Cheng, Karia Doreen MacAulay, Maisha Standifer, Judette Louis, Joseph Diamond, Kyaien Conner, Victor Obi, Samantha Thompson.
© 2026.
22 pages.
|
|
Angela Stephanie Mazzetti, Anniken Grønstad, John Blenkinsopp.
© 2026.
32 pages.
|
|
Marie Grace Avelino Gomez, Kenith B Villaruel.
© 2026.
30 pages.
|
|
Carolyn Allen.
© 2026.
30 pages.
|
|
|