Use educational data mining to enhance student achievement and performance of physical subjects

DOI

10.2991/978-94-6463-360-3_49How to use a DOI?

Keywords

Educational Data Mining; Database; Student Performance; KNIME

Abstract

Every year, educational institutions analyze the success rate of students in order to develop their academic standard and avoid failure. To determine this rate, there are several types of techniques, such as statistics, physical examination, and in-course data mining techniques.

In this study, we will follow one of the educational data mining techniques to explore massive data, in order to extract useful elements to improve the performance and performances of physics students using information on their academic results, their behaviour in class, their participation in activities, etc.

The technique of extracting data from KNIME and other algorithms was used in this study.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nihal Bouras
AU  - Laila Ayaichi
AU  - Aziz Amaaz
AU  - Abderrahman Mouradi
AU  - Abderrahman El Kharim
PY  - 2024
DA  - 2024/02/05
TI  - Use educational data mining to enhance student achievement and performance of physical subjects
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 513
EP  - 520
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_49
DO  - 10.2991/978-94-6463-360-3_49
ID  - Bouras2024
ER  -