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>

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

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 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.

“HistoBrick”: Mobile Edutainment into Descriptive Statistics („HistoBrick“: Mobiles Edutainment zur Deskriptiven Statistik)

i-com ◽  
2004 ◽  
Vol 3 (2/2004) ◽  
pp. 53-56
Author(s):  
Georg Ströhlein
Keyword(s):  
Higher Education ◽  
Mobile Learning ◽  
Mobile Application ◽  
Management System ◽  
Learning Management System ◽  
Descriptive Statistics ◽  
Game Based Learning ◽  
Mobile Game ◽  
Characteristic Numbers ◽  
Preceding Work

SummaryBased on preceding work on a mobile learning scenario a mobile game like application, called “HistoBrick”, is being designed. It serves as a platform for exercises, assignments and self studies in combination with the higher education courseware on descriptive statistics. This paper focuses on the mobile application and ignores its embedding into a suitable Learning Management System (LMS). “HistoBrick” aims to provide a ubiquitous tool for learning about statistic distributions and their most important characteristic numbers. The didactical background is inspired by recent ideas about how learning works in the so-called constructivist setting, in general, and the findings of game-based learning, in particular.

Cloud Based e-Learning Platform: An Effective Virtual Learning Environment for Higher Education Institutions

2020 ◽  
Vol 17 (9) ◽  
pp. 4585-4592
Author(s):  
Nidhi Gupta ◽  
Neeraj Sharma ◽  
Sanjay Sood
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Developed Countries ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Education Standards ◽  
Web Based ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning

The teaching-learning process, especially in higher education has always been a matter of great concern in developing countries as it makes the nation’s youth capable and is a mainstay towards its development. With the introduction of ICT, it has become even more important to change the learning methodology using the latest technologies like e-Learning, m-Learning, Cloud Computing etc., to match with the education standards of developed countries. This aim of this paper is to provide an insight about the use of e-Learning and cloud computing in HEIs. The paper also discusses the various cloud based adoption technologies used for HEIs and illustrates the comparative analysis of the web based and cloud based e-Learning system.

scholarly journals Investigating students' behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic

2021 ◽  
pp. 321-330 ◽  
Author(s):  
Mohammad Qasem Al-Hamad ◽  
Hisham Othman Mbaidin ◽  
Ahmad Qasim Mohammad AlHamad ◽  
Muhammad Turki Alshurideh ◽  
Barween Hikmat Al Kurdi ◽  
...  
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Social Relations ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Learning Platform ◽  
Teachers And Students ◽  
Expectation Confirmation

The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.

Factors affecting Job Satisfaction among employees of Higher Education: A Case Study

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Aditi Mathur ◽  
Anil Mehta
Keyword(s):  
Higher Education ◽  
Job Satisfaction ◽  
Education Sector ◽  
Educational Institutions ◽  
Role Clarity ◽  
Factors Affecting ◽  
The Public ◽  
Skilled Manpower ◽  
Job Challenges ◽  
Major Factors

The higher education sector plays a pivotal role in developing the skilled manpower for the balanced socio-economic growth of the country. Both public as well as private higher educational institutions contribute towards building the competence base of the society. In Rajasthan also, the higher education sector has seen a vast growth both in terms of investments and gross enrollment ratio. The employees are involved and are crucial for the accomplishment of the objectives. The study involved assessing the antecedents of job satisfaction level of the employees and identifying the most significant factors influencing the same. The findings suggest that the major factors affecting the satisfaction among the academic employees remain the job challenges, concern for the performance evaluation methods used, and the lack of role clarity in the institutions. The private sector employees have more concern for the salary and the job security as compared to the public sector employees.

Mobile Learning Services on Cloud

2015 ◽  
pp. 230-255
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Mobile Application ◽  
Management System ◽  
Mobile Cloud Computing ◽  
Learning Management System ◽  
Learning System ◽  
Mobile Cloud ◽  
E Learning ◽  
Learning Management

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.

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