Acceptance on Mobile Learning via SMS: A Rasch Model Analysis
Dublin Core
Title
Acceptance on Mobile Learning via SMS: A Rasch Model Analysis
Subject
Mobile
Learning
M-Learning
SMS
Rasch Model
Description
This study investigated whether mobile learning via Short Message Service (SMS-learning) is accepted by the students enrolled in the distance learning academic programme in the Universiti Sains Malaysia. This study explored the impact of perceived usefulness, perceived ease of use and usability of the system to their acceptability. The survey was constructed using a questionnaire consisting of statements regarding the participantsâ?? demographics, experiences in and perception of using mobile learning via SMS, involving 105 students from management and sciences disciplines. The Rasch Model Analysis was used for measurement correspond to a 5 point Likert. Results indicated that the usability of the system contributed to be effectiveness in assisting the students with their study. Respondents agree that SMS-learning is easy, effective and useful to help them study. However, the results found that there has been a problem in mobile learning that less interaction with lecturers. It implies that the acceptability of students to this mode on communication and interaction is highly endorsed.
Creator
Ismail, Issham
Mohammed Idrus, Rozhan
Mohd Johari, Siti Sarah
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 4 No. 2 (2010); pp. 10-16
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2010-03-25
Rights
Copyright (c) 2017 Issham Ismail, Rozhan Mohammed Idrus, Siti Sarah Mohd Johari
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Issham Ismail, Mohammed Idrus, Rozhan and Mohd Johari, Siti Sarah, Acceptance on Mobile Learning via SMS: A Rasch Model Analysis, International Association of Online Engineering (IAOE), Vienna, Austria, 2010, accessed November 24, 2024, https://igi.indrastra.com/items/show/939