Comparing factors that influence learning management systems use on computers and on mobile

Published date08 July 2019
Pages468-488
DOIhttps://doi.org/10.1108/ILS-12-2018-0127
Date08 July 2019
AuthorXiao Hu,Chun Lai
Subject MatterLibrary & information science,Librarianship/library management,Library & information services
Comparing factors that inuence
learning management systems use
on computers and on mobile
Xiao Hu and Chun Lai
Faculty of Education, The University of Hong Kong, Hong Kong, China
Abstract
Purpose Learning management systems (LMSs) have been embraced for their potential to create a
ubiquitouslearning that is free from time and space constraints. Mobiledevices afford enhanced mobility that
enables exible learning with LMSs. Thus, understanding studentsuse of mobile devices to interact with
LMSs and the inuencingfactors is essential. This paper aims to examine the factorsthat inuenced students
behavioural intentionin using Web-based LMSs via mobile phones and compared the factors with those that
affect studentsgeneralacceptance of Web-based LMSs.
Design/methodology/approach This study surveyed 356 university students and interviewed 17
students on the variousfactors that might affect their LMS adoption. Structural equation modellingwas used
to analyse the survey data.
Findings This study identied that perceived usefulness, perceived ease of use, social inuence and
facilitating conditionswere signicant determinants of studentsusage intention in both contexts. However,
social factors exerted greater inuence on studentsbehavioural intentions of mobile access than the
attitudinal factors. The resultsalso pinpointed some sociocultural and tempo-spatial factorsthat might have
minimizedthe inuence of perceived usefulness in the mobile context.
Originality/value The study calls forspecial attention to the potential inuences of socioculturalnorms
and tempo-spatial circumstances of mobile use in shaping the nature of learnersvoluntary mobile use of
LMSs.
Keywords Higher education, E-learning, Learning management system,
Comparing computer and mobile access, Mobile technology adoption,
The unied theory of acceptance and use of technology (UTAUT), Mobile phone
Paper type Research paper
1. Introduction
Learning management systems(LMSs), such as Moodle, Blackboard, Canvas, Sakai etc., are
widely adopted by higher education institutes worldwide to support distance learning or to
complement classroom instruction (Busaidi, 2012). LMSs have been found to facilitate
student active learning and boost interaction between students and faculty members
(Lonn and Teasley, 2009). A major affordance of LMSsis to enable exible learning that is
This project was supported by the Teaching Development Grants (TDG) of the University of Hong
Kong.
Statements on open data, ethics and conict of interest: Requests of anonymous data can be made
to the corresponding author.
This study was conducted with full ethical approval from the University of Hong Kong. We
obtained informed consent from participants, and they were informed that their responses would be
anonymized and kept condential.
The authors do not report any conicts of interest.
ILS
120,7/8
468
Received14 December 2018
Revised26 April 2019
8 July2019
Accepted8 July 2019
Informationand Learning
Sciences
Vol.120 No. 7/8, 2019
pp. 468-488
© Emerald Publishing Limited
2398-5348
DOI 10.1108/ILS-12-2018-0127
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/2398-5348.htm
free from the restrictions of time and space (Sharma and Vatta, 2013), and mobile devices
could play a major role in facilitating learnersutilization of this affordance.Mobile devices
give learners increased mobility to create impromptu sites of learningand personalized
learning ecologies acrosstime and space (Bachmair and Pachler, 2014;Kukulska-Hulme and
Sharples, 2016). Supporting learners to use the enhanced mobility afforded by mobile
devices to engage in exible learning withLMSs is essential to maximizing the educational
affordances of LMSs. As learner agency is the core of mobile learning (Underwood et al.,
2014), understanding learnersintention of using mobile devices to interact with LMSs and
the inuencing factorsis hence critical.
Extant studies on learnersintentions of using mobile devices to interactwith LMSs have
primarily examined university studentsintention for mobile learning in general (Cavus,
2011;OBannon and Thomas, 2015) or their adoption of LMSs mobile apps in the distance
learning context (Shin and Kang, 2015;Joo et al., 2016;Han and Shin, 2016). There is a
paucity of study that investigates university studentsintention to use mobile phones to
access traditional Web-based LMSs that accompany face-to-face classroom instruction.
Given that the use of Web-based LMSs complementing classroom instruction is a common
phenomenon at the university setting, understanding the factors that inuenced students
intention to accessWeb-based LMSs via mobile phones is much needed.This study aimed at
lling in this research gap by examining factorsthat predict university studentsintention
of using LMSs via mobile access and comparing the factors with studentsacceptance of
LMSs in general. The comparisoncould help reveal the factors that need particular attention
when promoting mobilephone access to Web-based LMSs[1].
2. Literature review
There has been some research on LMS usage in educational contexts, and this body of
literature has largely focused on the design of LMSs and documentingstudentsperceptions
and experience with LMSs in general (Rubin etal.,2010;Sharma and Vatta, 2013). Although
some studies have examined factors that inuence studentsadoption of LMSs (Hsu, 2012;
Nasser et al.,2011), limited research has been conducted to understandstudentsperceptions
and behaviors related to mobile-assisted LMS usage. In effect, mobile access to LMSs have
been found to enhance studentsubiquitousaccess to learning materials and activities on the
move (OBannon and Thomas, 2015), and to be positively associated with online students
learning satisfaction and academicachievement (Han and Shin, 2016;Shin and Kang, 2015).
Given the proliferation and normalization of mobile phones in university studentsgeneral
and school life (Dahlstrom et al., 2014), and the educational affordances of mobile learning
(Bachmair and Pachler, 2014;Kukulska-Hulme et al.,2017), research is much needed to
understand studentsperceptions and engagement in ubiquitous learning with LMSs via
mobile phones.
Studies on studentsperceptions of mobile devices for learning have yielded mixed
ndings. Some studies have revealed studentsreservations in using mobile devices for
learning due to technical constraints of mobile devices and userspsychological limitations
such as the preferreduse of mobile devices for hedonic purposes over instructionalpurposes
(Park, 2011;Wang et al.,2009). Other studies have reported studentspositive disposition
towards the use of mobile devices for learning (Cheon et al., 2012;Dahlstrom et al.,2014).
There have been a limited number of studies on studentsacceptance of using mobile
devices to access LMSs, and these studies have also reported mixed ndings.For instance,
Cavus (2011) reported positive perceptions from students on the use of mobile devices in
accessing an LMS. In contrast, Han and Han (2014) found that despite perceiving the
advantages of mobileLMSs, students may regard mobile LMSs as complex and hencemight
Learning
management
systems
469

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