Discovering Trends of Mobile Learning Research Using Topic Modelling Approach

Dublin Core

Title

Discovering Trends of Mobile Learning Research Using Topic Modelling Approach

Subject

mobile learning
topic modelling
mobile devices
latent dirichlet allocation

Description

This paper reports a map of identified topics from mobile learning research. Mobile learning is an emerging paradigm in an educational context as its adoption in an educational institution is growing rapidly. The students are already using and familiar with it.  The publications from the last ten years were examined. Two approaches were employed to identify themes, i.e. word cloud and Latent Dirichlet Allocation. The result shows that mobile learning research is shifting from the development into optimization paradigm. This research is beneficial for mobile learning literature to inform the researcher and practitioner in the mobile learning area in terms of research topic trend and therefore consider it as a basis for designing mobile learning system in the future.

Creator

Hamzah, Almed
Hidayatullah, Ahmad Fathan
Persada, Andhika Giri

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 09 (2020); pp. 4-14
1865-7923

Publisher

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

Date

2020-06-17

Rights

Copyright (c) 2020 Almed Hamzah, Ahmad Fathan Hidayatullah, Andhika Giri Persada

Relation

Format

application/pdf

Language

eng

Type

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

Identifier

Citation

Almed Hamzah, Ahmad Hidayatullah Fathan and Andhika Persada Giri, Discovering Trends of Mobile Learning Research Using Topic Modelling Approach, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 6, 2024, https://igi.indrastra.com/items/show/1511

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