Beta
163345

A Web Based Framework for Learning Styles Identification by Expert System

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

-

Abstract

Abstract T he learning styles of the students has beenresearched and identified in many studies in the past. There are many models and frameworks proposed by the researchers. This study focused on the identifying the cognitive style of learning by the students via a web based expert system. Therefore, this study proposes an adaptive framework for the identification of the cognitive styles of the students. In this study, the expert system was developed with the help of the adaptation model and the student model. The web based infrastructure was designed and  the system was tested on students of Buraidah Community College, Qassim University. Findings of the study show the adequacy of the versatile web-based learning system with powerfully distinguishing students' cognitive styles during perusing, along these lines approving the exploration motivations behind this examination. Another powerful result signifies positive and accurate outcomes in identification of the cognitive styles of learning of the students. The average staying time on the design web page was recorded and analyzed in order to check the accuracy of the students' cognitive style of learning.  

DOI

10.21608/jrciet.2021.163345

Keywords

Key Words: Expert System, Learning Styles, Cognitive Style, adaptation model, student model

Authors

First Name

Dr. Samy Abdelwahab

Last Name

Safaan

MiddleName

-

Affiliation

Consultant Deanship of e-learning Qassim University, Assistant Professor Computer Sciences, Nile Higher Institute for Business Technology in Computer Sciences;

Email

-

City

-

Orcid

-

Volume

7

Article Issue

2

Related Issue

23842

Issue Date

2021-04-01

Receive Date

2021-04-12

Publish Date

2021-04-01

Page Start

173

Page End

208

Print ISSN

2356-9107

Online ISSN

2537-0669

Link

https://jrciet.journals.ekb.eg/article_163345.html

Detail API

https://jrciet.journals.ekb.eg/service?article_code=163345

Order

7

Type

Original Article

Type Code

713

Publication Type

Journal

Publication Title

Journal of Research in Curriculum Instruction and Educational Technology

Publication Link

https://jrciet.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023