Beta
132511

Learning Preferences Adaptation Based on The Personalized Adaptive Gamified E-Learning (PAGE) Model

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

-

Abstract

Many studies have addressed e-learning, aiming to create a platform for the learning process that completes the traditional classroom work and maximizes the effectiveness of learning outcomes. Gamifying personalized adaptable educational systems have been recently considered to keep the learners motivated and positively progressing in a flow state. However, the current models remain inadequate, providing limited resources for comprehensive learning analytics. In this paper, a theoritical learning preferences adaptation model is proposed based on the Personalized Adaptive Gamified E-learning (PAGE) model. The PAGE model supports blended learning by enforcing the engagement of the traditional learning process's parties, where effective learning analytics can be sustained to continuously improve the quality of the learning experience. The overall model has been evaluated for its validity through a survey from different perspectives. The overall mean value of the evaluation is 2.77 out of 3. Thus, the evaluation outcomes for the adaptation, gamification, and learning experience of the PAGE model ensure a promising vision for advancements in the learning processes and analytics.

DOI

10.21608/ijicis.2020.48148.1037

Keywords

educational systems, preferences adaptation, learning preferences, Elearning, Clustering

Authors

First Name

Sherin

Last Name

Moussa

MiddleName

-

Affiliation

Department of Information Systems, Faculty of Computer and Information Scences

Email

sherinmoussa@cis.asu.edu.eg

City

Cairo

Orcid

0000-0001-9593-6909

First Name

Yara

Last Name

Maher

MiddleName

-

Affiliation

Department of Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

ymaher@ecu.edu.eg

City

-

Orcid

-

First Name

M. Essam

Last Name

Khalifa

MiddleName

-

Affiliation

Department of Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt

Email

khalifa@ecu.edu.eg

City

-

Orcid

-

Volume

20

Article Issue

2

Related Issue

19789

Issue Date

2020-12-01

Receive Date

2020-10-30

Publish Date

2020-12-01

Page Start

32

Page End

52

Print ISSN

1687-109X

Online ISSN

2535-1710

Link

https://ijicis.journals.ekb.eg/article_132511.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=132511

Order

10

Type

Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023