Mobile Learning-system usage: Scale development and empirical tests

Alharbi, Saleh; Drew, Steve

doi:10.14569/ijarai.2014.031105

Cited by 13 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the results are in line with those of a previous study by Alharbi et al (2014), who found a positive and substantial association between effort expectancy and behavioral intention to utilize mobile learning systems. The findings imply that a student's desire to adopt and make use of the system rises in line with their level of effort anticipation as regards the system.…”

Section: Discussionsupporting

confidence: 91%

The Preferences and Intentions of Terengganu's Teachers Regarding the Use of Emerging Technologies

Ahmad¹,

Ridzuan²,

Rahman³

2022

IJARPED

View full text Add to dashboard Cite

There has been much discussion about the 21st century being a technology age. Technology, as we know it today, is crucial to our survival. Technology has permeated nearly every industry, and its effects can be seen in classrooms across the globe. Among the many concerns explored in this research is the prevalence of teachers in Malaysia who are embracing the use of technological innovations in the classroom. Education in Malaysia is overseen by the Ministry of Education, which was established after the 2013-2025 Malaysian Education Development Plan (PPPM). This study aims to examine factors associated with teachers' behavioral intention toward adopting new technology. The cross-sectional study and the correlational research design were used to analyze the phenomena in this study. A total of 188 teachers from the eight districts of Terengganu (Besut, Dungun, Hulu Terengganu, Kemaman, Kuala Terengganu, Kuala Nerus, Marang, and Setiu) were included in the study. The results of the study revealed that all the independent variables (performance expectancy, effort expectancy, social influence, and facilitating conditions) are correlated with Terengganu teachers' intention of adopting new technology.

show abstract

Section: Discussionsupporting

confidence: 91%

The Preferences and Intentions of Terengganu's Teachers Regarding the Use of Emerging Technologies

Ahmad¹,

Ridzuan²,

Rahman³

2022

IJARPED

View full text Add to dashboard Cite

show abstract

“…Another study testing the PE construct of the adoption of online peer learning via social media on student’s academic achievement found that PE is the strongest predictor (Mohammed, Hassan, & Ab Jalil, 2015). In a study by Alharbi and Drew (2014), it was found that with the increase in PE among students, their behavioural intention to use mobile-learning systems increased showing a positive relationship. With the provided empirical evidences and the UTAUT model, it can be stated that PE affects adoption.…”

Section: Performance Expectancymentioning

confidence: 99%

Factors Affecting the Adoption of Social Media as a Business Platform: A Study among Student Entrepreneurs in Malaysia

Nawi

Mamun

Nasir

et al. 2019

Vision: The Journal of Business Perspective

View full text Add to dashboard Cite

Social media has been identified as a platform for student entrepreneurs to sell products and services, and to interact and connect with customers. However, the factors contributing to the adoption of social media as a platform among student entrepreneurs in Malaysia have not been established. This article aims to identify factors affecting the adoption of social media as a business platform among student entrepreneurs in Malaysia. This study employed a cross-sectional design and quantitative data was collected from 300 selected student entrepreneurs listed in the ‘entrepreneurship centres’ in all public universities in Peninsular Malaysia. Findings suggest that performance expectancy, perceived trust, perceived enjoyment and perceived risk have a significant positive effect on the adoption of social media. It is noted that there is a significant positive moderating effect of social influence between the relationship of facilitating conditions and the adoption of social media. Student entrepreneurs adopt social media as a business platform if they believe it improves their performance. Risk and trust are the most important factors influencing the adoption of social media as a business platform. Based on the findings, government agencies should promote social media as a business platform by instilling trust in the system with the hope that it will positively affect students’ entrepreneurial activities using social media as a business platform.

show abstract

“…The 7-point Likert scale is widely used for measuring attitudes in survey type research (Malhotra, 2010). Also, it has been widely used in IS and m-Learning studies (Alharbi & Drew, 2014;Kljunić & Vukovac, 2015). Thus, 7-point Likert scale was used in this study.…”

Section: Data Collectionmentioning

confidence: 99%

Factors Affecting the Intention to Adopt M-Learning

Senaratne¹,

Samarasinghe²

2019

IBR

View full text Add to dashboard Cite

Over the recent years, emerging technological applications have been used for making student learning more effective and interactive. M-Learning has been one such technological initiative which has shown promising benefits in the higher education context. Even though the importance of mobile learning has been researched by many, the factors influencing mobile learning adoption intention has not been addressed sufficiently, particularly in the Sri Lankan context. Hence, the purpose of this paper was to present a conceptual model to examine the factors influencing the intention to adopt mobile learning by the students engaged in higher education. Based on a comprehensive literature review, this study extended the Technology Acceptance Model (TAM) (Davis, 1989) with mobile self-efficacy, intrinsic motivation to use mobile devices and the system quality of the m-Learning system. The model describes how the aforementioned factors influence the higher education students" intention to adopt m-Learning via survey data collected from 151 postgraduate students. The findings suggest that the model explained the factors influencing the intention to adopt m-Learning among students in higher education. In detail, the mobile self -efficacy, system quality and intrinsic motivation significantly influenced the intention to adopt m-Learning. The results could be utilized for increasing the adoption of m-Learning practices and developing mobile applications useful for teaching and learning purposes. This study has incorporated three independent constructs in extending the TAM model; namely, system quality, mobile self-efficacy and intrinsic motivation. These were derived from the IS Success theory, Self-efficacy theory and Self-determination theory respectively. Accordingly, this study intends to address the theoretical gap in the higher education context pertaining to the adoption of mobile learning. Since Mobile Self-Efficacy and System Quality were the most significant factors that affect the perceived ease of use and perceived usefulness, these factors should be given prominence when developing mobile enabled Learning Management Systems within institutions.

show abstract

Mobile Learning-system usage: Scale development and empirical tests

Cited by 13 publications

References 45 publications

The Preferences and Intentions of Terengganu's Teachers Regarding the Use of Emerging Technologies

The Preferences and Intentions of Terengganu's Teachers Regarding the Use of Emerging Technologies

Factors Affecting the Adoption of Social Media as a Business Platform: A Study among Student Entrepreneurs in Malaysia

Factors Affecting the Intention to Adopt M-Learning

Contact Info

Product

Resources

About