Student role functionalities towards Learning Management Systems as open platforms through mobile devices

2014 ◽  
Author(s):  
Daniel Vazquez Sanchez ◽  
Erika Hernandez Rubio ◽  
Elena Fabiola Ruiz Ledesma ◽  
Amilcar Meneses Viveros
Keyword(s):  
Mobile Devices ◽  
Learning Management Systems ◽  
Management Systems ◽  
Student Role ◽  
Learning Management

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

2019 ◽  
Vol 120 (7/8) ◽  
pp. 468-488
Author(s):  
Xiao Hu ◽  
Chun Lai
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Learning Management Systems ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Management Systems ◽  
Web Based ◽  
Content Type ◽  
Learning Management ◽  
Mobile Use

Purpose Learning management systems (LMSs) have been embraced for their potential to create a ubiquitous learning that is free from time and space constraints. Mobile devices afford enhanced mobility that enables flexible learning with LMSs. Thus, understanding students’ use of mobile devices to interact with LMSs and the influencing factors is essential. This paper aims to examine the factors that influenced students’ behavioural intention in using Web-based LMSs via mobile phones and compared the factors with those that affect students’ general acceptance of Web-based LMSs. Design/methodology/approach This study surveyed 356 university students and interviewed 17 students on the various factors that might affect their LMS adoption. Structural equation modelling was used to analyse the survey data. Findings This study identified that perceived usefulness, perceived ease of use, social influence and facilitating conditions were significant determinants of students’ usage intention in both contexts. However, social factors exerted greater influence on students’ behavioural intentions of mobile access than the attitudinal factors. The results also pinpointed some sociocultural and tempo-spatial factors that might have minimized the influence of perceived usefulness in the mobile context. Originality/value The study calls for special attention to the potential influences of sociocultural norms and tempo-spatial circumstances of mobile use in shaping the nature of learners’ voluntary mobile use of LMSs.

eLearning

2014 ◽  
pp. 217-226 ◽  
Author(s):  
Firoz Alam ◽  
Roger G. Hadgraft ◽  
Quamrul Alam
Keyword(s):  
Higher Education ◽  
Mobile Devices ◽  
Business Model ◽  
Learning Management Systems ◽  
Management Systems ◽  
Online Assessment ◽  
Learning Resources ◽  
Widespread Availability ◽  
Learning Management

eLearning will revolutionise higher education in the next decade. Although this has likely been said regularly over the last 20 years, the widespread availability of mobile devices, ubiquitous wifi connections, and the globalisation of industry, driven by global networking infrastructure, will finally deliver the promises of learning anytime anywhere. This chapter reviews the most common forms of eLearning, both synchronous and asynchronous: recorded lectures, learning management systems, online assessment, blogs, and wikis are slowly transforming education towards a student-centred model of learning. The question remains: what is the university’s business model when students can collect their learning resources for free from iTunesU?

scholarly journals Incorporating Mobile Learning into Athletic Training Education

2009 ◽  
Vol 4 (4) ◽  
pp. 152-156 ◽  
Author(s):  
Emily Davie
Keyword(s):  
Higher Education ◽  
Mobile Devices ◽  
Athletic Training ◽  
Mobile Learning ◽  
Learning Management Systems ◽  
Athletic Training Education ◽  
Management Systems ◽  
Personal Digital Assistants ◽  
E Learning ◽  
Learning Management

Objective: To introduce and present techniques for incorporating mobile learning into athletic training education. Background: The matriculation of digital natives into college has stimulated the identification and development of new teaching and learning strategies. Electronic learning (e-learning), including the use of learning management systems, has been combined with traditional classroom lectures and lab activities to address the needs of these technologically savvy students. Learning management systems offer valuable options to students, but still rely on a computer terminal to interface with the material. Restrictions on when and where a student can “plug-in” to learn places limitations on e-learning. Mobile learning (m-learning) is a sub-set of e-learning that uses hand-held devices to allow flexibility in learning at any time and any place. M-learning involves the use of mobile devices such as mobile phones, personal digital assistants (PDAs), and portable media players for the purposes of acquiring and disseminating knowledge. A variety of methods have been identified for incorporating m-learning into higher education. Articles regarding the use of m-learning, specifically in health care education, are limited. Description: Descriptions of m-learning applications in higher education are presented. Examples of techniques are offered to aid the athletic training instructor in implementing the m-learning principles into the classroom and clinical settings. Application: Athletic training education lends itself well to m-learning. Athletic training students can utilize mobile devices to prepare for an upcoming class session, participate during class, review and study course materials, communicate with teachers and peers, enhance clinical education, and document clinical experiences.

Readiness of Universities for 21st Century Digital Economies: Case of Selected Lecturers from Universities in Buffalo City Metropolitan in Eastern Cape Province South Africa

10.31355/42 ◽  
2019 ◽  
Vol 3 ◽  
pp. 065-077
Author(s):  
Agyei Fosu
Keyword(s):  
Higher Education ◽  
21St Century ◽  
Teaching And Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Eastern Cape ◽  
Next Generation ◽  
Web Based ◽  
Web Based Learning ◽  
Learning Management

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose...................................................................................................................................................................................................... The purpose of this study is to expand the knowledge base on factors likely to impede implementation and adoption of web-based learning management systems to blend with traditional methods of lecturing in universities to cater for the next generation of learners in Africa and Eastern Cape Province South Africa in particular. Background........................................................................................................................................................................................................ The shift from the industrial economies to 21st century digital and knowledge-based economies, fueled by rapid Information and Communication Technologies (ICTs) such as Internet, YouTube, Chartrooms, Skype, Social media networks and its introduction to the educational system not only resulted in a new teaching approach globally but also paved way to usher in new generation of learners (anytime, anywhere learners) in the higher education system. Despite the fact that universities and other institutions of higher education in developed countries and some Africa countries have since recognized that the 21st century global digital and knowledge-based economies evolution has ushered in the next generation of learners, and as a result have taken the necessary steps to blend the traditional method of lecturing in higher education with web-based learning management systems in order to accommodate these learners. However, in Africa not much research have been done on the readiness of higher education institutions in terms of blending web-based learning management systems with the traditional method of lecturing to cater for the next generation of learners. Methodology....................................................................................................................................................................................................... Quantitative and two non-probability sampling methods, namely, quota and purposive sampling was used to investigate the technological skills of selected lecturers from universities within Buffalo City Metropolitan as one of the core component to check the readiness of their faculty for the next generation of learners. Contribution........................................................................................................................................................................................................ This research will add to the growing knowledge about the blending of web-based learning management with the traditional style of lecturing in higher education in the 21st century digital economies. Findings.............................................................................................................................................................................................................. The results indicated that the participating lecturers need to be trained and sup-ported in the skills of using of the ICTs and computer programs applicable to enhance web-based learning in teaching and learning environment in higher education in order to cater for the next generation of learners associated with the 21st century digital economies. Recommendations for Practitioners................................................................................................................................................................. Much as there is a need for increased in investment in infrastructure within higher education institutions to support teaching and learning, continuous sup-port and training for academics to be technologically literate and also be abreast on rapidly evolving field of ICTs is paramount as it can expedite the teaching and learning process in higher education. Recommendation for Researchers................................................................................................................................................................... There is the need to explore in depth the other two components suggested by Mishra and Koehler (2007) which can serve as barriers for successfully integration of technology into teaching and learning by locus of knowledge. Impact on Society............................................................................................................................................................................................... The research will assist stakeholders, policy makers and agencies tasked with transforming institutions of higher learning to identify the barriers likely to hinder transformation efforts and address them accordingly. Future Research................................................................................................................................................................................................. Conducting research on technological skills of students are critical in this context.

scholarly journals An analysis of users’ preferences on learning management systems: a case on German versus Spanish students

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Hasan Tinmaz ◽  
Jin Hwa Lee
Keyword(s):  
Information And Communication Technologies ◽  
Age Groups ◽  
Learning Management Systems ◽  
Content Management ◽  
Ease Of Use ◽  
Management Systems ◽  
Smart Learning ◽  
School Year ◽  
Design For All ◽  
Learning Management

Abstract The recent advancements in information and communication technologies have altered instructional contexts and re-shaped them into smart learning environments. One of the most common practices of these environments are learning management systems (LMS) where the learners and instructors utilize a software platform to fulfill, support and manage instructional activities around predefined objectives. Successful implementations of LMS have brought a variety on its usage from different cultures, genders, age groups or schooling levels. Hence, this study focuses on understanding the role of culture on LMS design, in along with the effects of gender, age and school year variables. The study participants were German (n = 83) and Spanish (n = 83) university students attending a fully online course offered by a South Korean university. At the end of the course, the students were asked to fulfill a survey on effective LMS design by pointing which features of LMS were more important for them. The survey included twenty questions on four major design factors; content management (six items), ease of use (five items), communication within LMS (four item) and screen design (five items). The dataset was analyzed by non-parametric statistical techniques around four variables on four dimensions (and their related survey questions). The most important result was insufficiency of one unique LMS design for all students which demonstrates the necessity of student demographics tailored smart systems. Additionally, age and gender variables were not making significant differences on LMS design as much as culture and school year variables. The study also revealed that while German students would appreciate goal-oriented individual learning, Spanish students would value process-oriented group learning with active communication. Furthermore, many features of LMS were highly valued by the freshman students more than other levels. The paper discusses these variables with possible explanations from the literature and depicts implementations for future design practices.

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