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

Moussa, Sherin and Maher, Yara and Khalifa, M. Essam (2020) Learning Preferences Adaptation Based on The Personalized Adaptive Gamified E-Learning (PAGE) Model. International Journal of Intelligent Computing and Information Sciences, 20 (2). pp. 32-52. ISSN 2535-1710

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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.

Item Type: Article
Subjects: East Asian Archive > Computer Science
Depositing User: Unnamed user with email support@eastasianarchive.com
Date Deposited: 27 Jun 2023 06:50
Last Modified: 03 Sep 2025 03:51
URI: http://authors.go2articles.com/id/eprint/1146

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