Authors:
Mohamed Metawaa
1
and
Kay Berkling
2
Affiliations:
1
German University of Cairo, Egypt
;
2
Cooperative State University, Germany
Keyword(s):
Gamification, MOOC, Education, Children, Games, Mobile Learning.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
e-Learning
;
e-Learning Platforms
;
Game-Based and Simulation-Based Learning
;
Information Technologies Supporting Learning
;
Learning/Teaching Methodologies and Assessment
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Virtual Learning Environments
Abstract:
Online education nowadays plays a very important role in enhancing the educational processes mostly for adults. Given this maturing technology and the number of children that lack access to safe education, mobile education for children is a logical next step and opens options that change their prospects. This paper is part of a larger project on mobile learning with games for children without access to schools. Games can motivate children to learn without the necessity of a teacher. The goal is to recommend learning games based on children’s preferences of past choices and ratings, which can supplement other recommender systems. The resulting implemented algorithm is designed as a plug-in to exisiting learning platforms that use games. Such a system was implemented and evaluated in a feasibility study on adults. We show that a prediction based on user’s choice and rating of games corresponds to a direct survey to determine the gamer types in 66% of the cases for 61 participants.