Designing an Intelligent Mobile Learning Tool for Grammar Learning (i-MoL)
Dublin Core
Title
Designing an Intelligent Mobile Learning Tool for Grammar Learning (i-MoL)
Subject
Mobile learning
English language
grammar
learning styles
FSLSM
instructional system design
ISD
ADDIE
higher learning institutions
graduates
Malaysia
Description
English is the most important second language in most non-English speaking countries, including Malaysia. A good English proficiency comes from good grasp of grammar. To conquer the problems of low English proficiency among Malaysians, it is important to identify the key motivators that could facilitate the process of grammar learning. In this digital age, technology can play a very important role and mobile technology could be one of it. Thus, this study aims at designing a mobile learning tool, namely the Intelligent Mobile Learning Tool for Grammar Learning (i-MoL) to act as the “on-the-go” grammar learning support via mobile phones. i-MoL helps reinforce grammar learning through mobile phone with game-like applications, inquiry-based activities and flashcard-like information. The intelligent part of i-MoL lies in its ability to map the mobile-based grammar learning content to individual’s preferred learning styles based on Felder-Silverman Learning Style Model (FSLSM). The instructional system design through the ADDIE model was used in this study as a systematic approach in designing a novel and comprehensive mobile learning tool for grammar learning. In terms of implications, this study provides insights on how mobile technologies can be utilized to meet the mobility demand among language learners today.
Creator
Shuib, Munir
Abdullah, Amelia
Azizan, Siti Norbaya
Gunasegaran, Thenmolli
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 1 (2015); pp. 41-46
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2015-01-24
Rights
Copyright (c) 2017 Munir Shuib, Amelia Abdullah, Siti Norbaya Azizan, Thenmolli Gunasegaran
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Munir Shuib et al., Designing an Intelligent Mobile Learning Tool for Grammar Learning (i-MoL), International Association of Online Engineering (IAOE), Vienna, Austria, 2015, accessed November 6, 2024, https://igi.indrastra.com/items/show/1112