Learning Style Classification Based on Student's Behavior in Moodle Learning Management System

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2015, Vol 3, Issue 1

Abstract

In learning field, each student has his own learning style that affects his way of get, process, understand and percept information. Determining the learning style of students enhances the performance of learning process. Two methods are commonly used to acquire student's learning style: static by questionnaire and dynamic by tracing student's navigation on e-learning environment. In this paper, a new approach to classify students dynamically depending on their learning style was proposed. This approach was experimented on 35 students for Data Structure online course created using Moodle. By extracting students' behavior, data from Moodle log, the learning style for each student was identified according to Felder and Silverman model. Also, learning style based on the behavior have been compared with a quiz results conducted at the end of the course. Receiver operating characteristic (ROC) curve have been used to evaluate the quality of classification results comparing with quiz results. Good results with average accuracy of 76% are achieved. Students' data have been divided into four training and testing sets with different splitting ratio. Different testing accuracy values are obtained for the different ratios using each dimension of Felder-Silverman learning style model (FSLSM).

Authors and Affiliations

Manal Abdullah, Asmaa Alqahtani, Jawhara Aljabri, Reem Altowirgi, Ruqiah Fallatah

Keywords

Related Articles

Toward Multi-Approach Model for Semi-Automating a Data Warehouse Design from an Ontology

The proliferation of projects that are part of the semantic Web is truly impressive. In fact, ontologies become increasingly present in information systems, they constitute great data sources that arouse the interest of...

Associate-Image Filtering Method with Enhanced De-noising Feature for Road Detection in Disaster Management

Due to rapid urban development, the Geographic Information System (GIS) database needs to be updated with timely and accurate road network information. This paper presents an approach to design a module for image pre-tre...

Remote Assessment of Disease and Relapse– Central Nervous System-RADAR-CNS

Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADARCNS) is a major international research project. It aims to develop new ways of measuring major depressive disorder, epilepsy and multiple...

A Metaheuristic Procedure for Calculating Optimal Osmotic Dehydration Parameters: A Case Study of Mushrooms

The Firefly Algorithm (FA) metaheuristic is employed to determine the optimal parameter settings in a case study of the osmotic dehydration of mushrooms. In the case, the functional form of the dehydration model is estab...

Digitizing Human Sciences to Determine the Individual's Personality Based on Facial Emotions Recognition

Informatics is a science that develops and opens up to a group of other sciences. The current researches have been established for multiple partnerships between informatics and the rest of the sciences. This is noticed i...

Download PDF file
  • EP ID EP278944
  • DOI 10.14738/tmlai.31.868
  • Views 81
  • Downloads 0

How To Cite

Manal Abdullah, Asmaa Alqahtani, Jawhara Aljabri, Reem Altowirgi, Ruqiah Fallatah (2015). Learning Style Classification Based on Student's Behavior in Moodle Learning Management System. Transactions on Machine Learning and Artificial Intelligence, 3(1), 28-40. https://europub.co.uk/articles/-A-278944