Research Article
Student Modelling and Classification Rules Learning for Educational Resource
@INPROCEEDINGS{10.4108/eai.18-11-2023.2342552, author={Enik Rukiati and Shabrina Choirunnisa and Fredy Eka Ardhi Pratama and Khafidurrohman Agustianto}, title={Student Modelling and Classification Rules Learning for Educational Resource}, proceedings={Proceedings of the 4th International Conference on Social Science, Humanity and Public Health, ICoSHIP 2023, 18-19 November 2023, Surabaya, East Java, Indonesia}, publisher={EAI}, proceedings_a={ICOSHIP}, year={2024}, month={1}, keywords={student modeling e-learning rule-based system}, doi={10.4108/eai.18-11-2023.2342552} }- Enik Rukiati
Shabrina Choirunnisa
Fredy Eka Ardhi Pratama
Khafidurrohman Agustianto
Year: 2024
Student Modelling and Classification Rules Learning for Educational Resource
ICOSHIP
EAI
DOI: 10.4108/eai.18-11-2023.2342552
Abstract
Learning management systems are commonly used to present learning content to students assuming that each student has the same characteristics in terms of expectations, culture, background, and learning style. But in reality, each student has different characteristics. This is supported by a learning concept that focuses on conveying general learning content without considering individual differences. This study aims to solve this problem by presenting student modeling specifically for e-learning/distance learning applications. In this study, a learning style modeling using the Felder-Silverman learning style model was conducted and it aimed at students' interaction with e-learning. The research results show that the method applied in the research is efficient, with an accuracy value of 96.35%.