An intelligent agent to detect learner's learning style automatically through E-learning system in Saudi Arabia

doi:10.26389/ajsrp.a121117

Abstract

Most of the successful conventional E-learning system lack of automatic detecting of learner learning style based on their preference. An Automatic approach marked as a better approach to characterize learning style because it is based on real student behavior. The purpose of this study is to propose a new literature-based method (Automatic approach) using intelligent agents to identify learner's learning style based on behavior using Felder-Silverman Learning Style Model (FSLSM). The new method implemented in new developed LMS. After obtaining the proposed method result, the result validates and compared with Felder-Silverman Learning Style Model questionnaire (ILS) and García method. After comparing the proposed method with the results of previous studies, the researcher got satisfactory results on precision percentage and the lowest percentage in the results was 66.6 %.

Highlights

There are many activities in the field of learning, activity such as experimentation, problem Solving and interpretation
Ertmer and J Newby (2008): first the constructivism theory which accentuates that the learner should be active by choosing the way he/she prefer, second the cognitive theory which is related to the changes in learner understanding that outcome from learning and third the conventional classroom which is called face-to-face learning
The purpose of research is to develop an online prototype of learning management systems (LMSs) Learning Management System, able to detect student learning style (LS) automatically by an intelligent agent by tracking the behavior of learner during taking courses

Summary

Introduction

There are many activities in the field of learning, activity such as experimentation, problem Solving and interpretation. Dung and Adina (2013) These days, in spite of the development of science and technology, especially in the field of learning management systems (LMSs) have various features such as controlling timetable, attendance, and track assignment. Most of the LMSs have the same way to provide student learning material without taking into account individual differences between learners in learning style. The purpose of research is to develop an online prototype of LMS Learning Management System, able to detect student learning style (LS) automatically by an intelligent agent by tracking the behavior of learner during taking courses. Without consideration Individual differences among students in learning style and deliver materials to the learner in an appropriate way based on his/her preference.

Objective

A Concept for Identifying Learning Styles

Visual – Verbal - learning from images and or words

Rule-Based

Findings

Artificial Intelligence in Education