Multi-Criteria Analysis and Advanced Comparative Study between M-learning Development Approaches

Dublin Core

Title

Multi-Criteria Analysis and Advanced Comparative Study between M-learning Development Approaches

Subject

M-learning
mobile processing
development approach
MCDA
comparative study

Description

With the great advances in the world of mobile learning, development approaches are a very important challenge in designing an M-learning platform for instructors. The development can quickly become a handicap to the integration of certain functionalities and features if the approach is not very well thought and adapted to the pedagogical model designed for the platform. The purpose of this article is to clarify certain comparative aspects between the various methods of development of mobile learning platforms, their ordering and processing and the advantages and disadvantages of each approach. The authors present a multi-criteria analysis which can help instructors in decision-making by assisting their choice of the mobile development approach according to the most important criteria. This paper constitutes an overview of the m-learning platforms from design implementation point of view and will help researchers implement the pedagogical design model described in previous work.

Creator

Zidoun, Youness
Dehbi, Rachid
Talea, Mohamed

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 3 (2018); pp. 38-51
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2018-07-20

Rights

Copyright (c) 2018 YOUNESS ZIDOUN, RACHID DEHBI, MOHAMED TALEA

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Youness Zidoun, Rachid Dehbi and Mohamed Talea, Multi-Criteria Analysis and Advanced Comparative Study between M-learning Development Approaches, International Association of Online Engineering (IAOE), Vienna, Austria, 2018, accessed November 5, 2024, https://igi.indrastra.com/items/show/1311

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