Learners on Focus: Visualizing analytics through an integrated model for learning analytics in adaptive gamified e-learning

Maher, Yara; Sherin M. Moussa; khalifa, mohamed essam;

Abstract


During the Coronavirus pandemic, e-learning systems have proven to be an essential pillar for education. This raises to surface what many studies have addressed earlier; creating a platform that completes the traditional classroom work and maximizes the effectiveness of learning outcomes. Striving to achieve such platform, studies have considered gamifying and personalizing the educational resources for the adaptation of educational systems as per the intended learners through intensive learning analytics. But was the learner really a part of the adaptation process taking place? Learning analytics are usually designed to the course’s adaptation and solely for the teachers. Thus, learning analytics in gamified adaptive educational systems involving the course, teachers and learners together are still under investigation. In this study, the Personalized Adaptive Gamified E-learning (PAGE) model is introduced to extend MOOCs by providing new satisfactory levels of learning analytics and visualization in the rich e-learning process that supports the learner’s intervention in the resultant learning analytics. The proposed Learning analytics have been developed to make the necessary adaptation to the course and learner’s learning flow, as well as visualizing the process and adaptation decisions to the learners. Results show a positive potential towards learning adaptation and visualization, and a necessity to provide an additional focus for the gamification concept.


Other data

Title Learners on Focus: Visualizing analytics through an integrated model for learning analytics in adaptive gamified e-learning
Authors Maher, Yara; Sherin M. Moussa ; khalifa, mohamed essam 
Keywords Adaptation;gamification;learning analytics;learning behavior;visualization
Issue Date 1-Jan-2020
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Journal IEEE Access 
Conference IEEE Access
ISSN 2169-3536
DOI 10.1109/ACCESS.2020.3034284
Scopus ID 2-s2.0-85102789201
Web of science ID WOS:000589743200001

Recommend this item

Similar Items from Core Recommender Database

Google ScholarTM

Check

Citations 18 in scopus


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.