Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network
Dublin Core
Title
Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network
Subject
m-learning
e-learning
game based learning
Mathematics
neural networks
social network analysis
Description
In order to make e-learning systems more readily available for use, the majority of new systems are being developed in a form suitable for mobile learning, i.e. m-learning. The paper puts focus on the parts of the implementation of an e-learning system which is not restricted to desktop platforms, but works equally well on smartphones and tablets in the form of m-learning. The implemented system uses educational computer games for learning Mathematics in primary schools and has an integrated social network, which is used for communication and publishing of the content related to the game. Besides analysing the platforms used for accessing the system (desktop/mobile), since students are given a choice, the paper also questions how to interpret messages when they contain concepts in student jargon or generally unknown to teachers, and shows that these messages can be interpreted by applying neural networks.
Creator
Juric, Petar
Brkic Bakaric, Marija
Matetic, Maja
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 145-161
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-07-13
Rights
Copyright (c) 2021 Petar Juric, Marija Brkic Bakaric, Maja Matetic
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Petar Juric, Brkic Bakaric, Marija and Maja Matetic, Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 23, 2024, https://igi.indrastra.com/items/show/2001