Analysis of Factors Affecting User Intention in Using New Mobile Learning Platform

2020 ◽  
Author(s):  
Andre Parvian Aristio ◽  
Mudjahidin ◽  
Rully Agus Hendrawan ◽  
Shalma Rachmayani Putri ◽  
Destya Bagus ◽  
...  
Keyword(s):  
Mobile Learning ◽  
User Intention ◽  
Factors Affecting ◽  
Learning Platform

scholarly journals Analysis of the Main Factors Affecting the Adoption of Cloud based Interactive Mobile Learning in the Australian Higher Education Sector

2018 ◽  
Vol 12 (4) ◽  
pp. 43 ◽  
Author(s):  
Nitirajsingh Sandu ◽  
Ergun Gide
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Service Delivery ◽  
Mobile Learning ◽  
Mobile Application ◽  
Education Sector ◽  
Factors Affecting ◽  
Learning Platform ◽  
Research Outcome ◽  
Main Factors

<p>Today, every business depends on Information Technology (IT) for the efficient service delivery and cost-effective application of technological resources. Modern technologies are being adopted to overcome business pressure, streamline existing procedures and service delivery cost-efficiency for maximising profit due to the increase in global competition and shifts in the customer expectations.  Cloud computing (CC) is an Internet-centric computing service that utilises and provides IT services to organisations through the provisioning of resources through the Internet using web-centric software and gadgets without the assistance of any private IT architecture within the firm. Cloud based interactive mobile learning platform is the result of such exploration and this practice of learning is improving with the time. New technologies such as smart mobile devices, Cloud computing and wireless connectivity are opening new opportunities of learning for students.  </p><p>Thus, the aim of this paper is to evaluate the main factors affecting the adoption of Cloud based interactive mobile learning for the Australian Higher Education sector. In this research, a survey data collection technique with existing students using Mobile application for learning and also a literature review process were conducted.  Research outcome shows that the use of Artificial intelligence and Machine learning can make learning more efficient and these technologies need to be integrated in applications designed for Australian Higher Education sector.  It is expected that the research outcome will help interactive mobile application developers and higher education providers to better understand the requirements of students while providing an interactive learning platform for them.   </p>

Constructing Network Learning Platform Based on the Influencing Factors of Mobile Learning - A Case Study on Learning Cell

2014 ◽  
Vol 687-691 ◽  
pp. 2367-2370
Author(s):  
Bi Xu
Keyword(s):  
Mobile Learning ◽  
Communication Technology ◽  
Time Constraints ◽  
Network Technology ◽  
Key Factors ◽  
Factors Affecting ◽  
Multimedia Networking ◽  
Network Learning ◽  
Learning Platform

Communication Technology and Network Technology are the key factors to M-learning, and at the same time constraints. This study combines the features of M-learning in digital, in multimedia, networking, intelligent and happening whenever and wherever, analyzes key factors affecting M-learning based on Communication Technology and Network Technology, and expects to find a basis for Network Platform’s design and development.

Mobile Learning: Factors Affecting Students’ Adoption in Higher Education

M-Commerce ◽  
2019 ◽  
pp. 235-253
Author(s):  
Amandeep Kaur ◽  
Nidhi Sharma ◽  
Ruhee Mittal ◽  
Anshu Lochab
Keyword(s):  
Higher Education ◽  
Mobile Learning ◽  
Factors Affecting ◽  
Learning Factors

scholarly journals Mobile Blended Learning with eSquirrel

2015 ◽  
Vol 8 (4Β) ◽  
Author(s):  
Michael Maurer
Keyword(s):  
Blended Learning ◽  
Mobile Learning ◽  
Recent Progress ◽  
State Of The Art ◽  
The State ◽  
Educational Institutions ◽  
Classroom Teaching ◽  
Learning Platform ◽  
Start Up ◽  
Innovative Solution

This article outlines the state of the art of mobile blended learning apps. It describes recent progress in this area, and explains the potential of mobile blended learning for schools and educational institutions. Furthermore, it presents an innovative solution, eSquirrel, which is developed by an Austrian inter-disciplinary start-up. eSquirrel is a blended learning platform that combines mobile learning with gamification. It blends the concepts of classroom teaching, eLearning and learning from books into a native Android and iOS course app, and enables teachers to learn their students’ progress.

scholarly journals Acid Test of Ghana’s Educational Institutions Operating Distance Learning Programs

2020 ◽  
pp. 10-17
Author(s):  
William K Koomson ◽  
Naa Kai Amanor-Mfoafo
Keyword(s):  
Distance Learning ◽  
Mobile Learning ◽  
Online Teaching ◽  
Learning Technologies ◽  
Educational Institutions ◽  
Learning Platform ◽  
Proposed Model ◽  
Learning Programs ◽  
Operating Distance ◽  
Acid Test

The outbreak of the COVID-19 pandemic is an unprecedented blow to the Ghanaian Educational System. Following the closure of all educational facilities in Ghana in March 2020, the country’s President ordered for the adoption of distance learning. This poses the question: how prepared are Ghanaian institutions to carry out distance learning using online teaching approaches? Most institutions in Ghana offering distance learning programs currently adopt the usage of the tutorial method where there is minimal or no usage of online learning technologies. This article discusses the potential usage of mobile learning by Ghanaian Educational Institutions operating distance learning programs in the wake of combating the COVID-19. It proposes a model to support the use of WhatsApp Messenger as an online tool to support distance learning programs. The proposed model is a summary comparison between a typical Learning Management System (LMS) using Jurado’s classification and the proper application of the use of WhatsApp Messenger as a mobile learning platform in a Ghanaian context.

scholarly journals Factors Affecting Students’ Acceptance of Mobile Learning Application in Higher Education during COVID-19 Using ANN-SEM Modelling Technique

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3121
Author(s):  
Mohammed Amin Almaiah ◽  
Enas Musa Al-lozi ◽  
Ahmad Al-Khasawneh ◽  
Rima Shishakly ◽  
Mirna Nachouki
Keyword(s):  
Mobile Learning ◽  
Teaching And Learning ◽  
Service Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Modelling Technique ◽  
Distance Teaching ◽  
Perceived Ease Of Use ◽  
Learning Platform ◽  
Learning Platforms

Due to the COVID-19 pandemic, most universities around the world started to employ distance-learning tools. To cope with these emergency conditions, some universities in Jordan have developed “mobile learning platforms” as a new tool for distance teaching and learning for students. This experience in Jordan is still new and needs to be evaluated in order to identify its advantages and challenges. Therefore, this study aims to investigate students’ perceptions about mobile learning platforms as well as to identify the crucial factors that influence students’ use of mobile learning platforms. An online quantitative survey technique using Twitter was employed to collect the data. A two-staged ANN-SEM modelling technique was adopted to analyze the causal relationships among constructs in the research model. The results of the study indicate that content quality and service quality significantly influenced perceived usefulness of mobile learning platforms. In addition, perceived ease of use and perceived usefulness significantly influenced behavioral intention to use mobile learning platforms. The study findings provide useful suggestions for decision makers, service providers, developers, and designers in the ministry of education as to how to assess and enhance mobile learning platform quality and understanding of multidimensional factors for effectively using mobile learning platforms.

scholarly journals A Model for Mobile Learning Integration in Higher Education Based on Students’ Expectations

2020 ◽  
Vol 14 (11) ◽  
pp. 171
Author(s):  
Latinka Ivanova Todoranova ◽  
Radka Valerieva Nacheva ◽  
Vladimir Stoyanov Sulov ◽  
Bonimir Penchev Penchev
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Mobile Devices ◽  
Information And Communication Technologies ◽  
Mobile Learning ◽  
Communication Technologies ◽  
Study Program ◽  
Learning Platform ◽  
Information And Communication ◽  
E Learning

Mobile learning can be identified as the next stage in the development of e-learning. In this regard, <strong>the purpose of this paper</strong> is to propose a model for mobile learning integration in higher education which is based on analysis of students’ expectations. То achieve this goal, a survey has been conducted among students enrolled in programs in the field of information and communication technologies. The analysis of the collected data shows that students have mobile devices, which they use not only for communication on social networks, but also for education. In addition, their expectations regarding mobile learning have been identified taking into account their study program and their previous experience with an e-learning platform.

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