Understanding Students’ Intention to Use Mobile Learning at Universitas Negeri Semarang: An Alternative Learning from Home During Covid-19 Pandemic

Ismiyati, Ismiyati; Kartowagiran, Badrun; Muhyadi, Muhyadi; Sholikah, Mar’atus; Suparno, Suparno; Tusyanah, Tusyanah

doi:10.7358/ecps-2021-023-ismi

Cited by 6 publications

(6 citation statements)

References 52 publications

(37 reference statements)

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“…Less popular than LMS, pedagogically focused technologies such as online learning [87][88][89][90][91], mobile learning [15,44,73,[92][93][94][95], online education [81,84,96], online teaching [97][98][99][100], and emergency remote teaching [78,101,102] were investigated to a substantial degree. This illustrates an emerging trend to understand the acceptance of tools (such as LMS) rather than approaches.…”

Section: The Technologies Studiedmentioning

confidence: 99%

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

et al. 2022

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Over the past three decades, the Technology Acceptance model (TAM) has garnered considerable attention in higher education. COVID-19 boosted the development of TAM as multiple studies were rapidly undertaken during the pandemic. This, however, created a gap in our current understanding of the directions and trends of TAM advancement. The purpose of this study is to obtain insight into the advancement of TAM throughout the pandemic. It would assist researchers in comprehending the advancement and direction of TAM studies in higher education, such as gaining an understanding of the prevalent external variables for TAM, the statistical analysis employed, research methodologies, the technologies studied, and the geographic location of the research conducted. Finally, research gaps and future directions for TAM studies are presented. A systematic review utilizing PRISMA was conducted on 104 sampled publications. It was found that self-efficacy, subjective norms, experience, and enjoyment were the external variables most frequently used in TAM, while internal motivation received minimal attention. The existing studies have focused mainly on student samples, so further investigation is needed into lecturers, higher education personnel, and mixed groups. Further study is also required on qualitative and mixed methods, with the partial least square structural equation model currently dominating statistical analysis. Future technologies such as 5G, AI, cloud computing, augmented reality, virtual reality, and BYOD represent new TAM-related research gaps. The majority of studies have been undertaken in Asian countries, such as China and those in southeast Asia. This new systematic literature review provides insight into the trend of TAM advancement in the sustainability of higher education during the pandemic, the identified research gaps, and recommendations for future research directions. These findings also serve as a reference for future research by enhancing the foundation established by previous reviews and research on TAM, thereby facilitating the model’s ongoing expansion.

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Section: The Technologies Studiedmentioning

confidence: 99%

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

et al. 2022

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“…The obtained results in this paper fill a gap in the existing literature. In the field of economic education, there is interest in m-learning at the university level [3,42,44,121,122], but very little attention has been given to secondary education, particularly in the post-pandemic period after returning to classrooms. Previous cross-country study (Poland, Croatia, Serbia) [2], addresses the topic of economic education through e-learning at the high school level, and this present research can contribute to the development of knowledge from a broader perspective, expanding the scope of observation to obtain a more comprehensive understanding of students' attitudes towards m-learning.…”

Section: Discussionmentioning

confidence: 99%

“…Our aim is to address the research gap identified in the field of mobile learning (m-learning) focused on economic education at the high school level. Limited studies have been conducted on this topic, with most of the existing research primarily concentrated on higher education [3,[42][43][44]. It is crucial to note that students studying economics will play a pivotal role in the future digital economy.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use

Moca

Bădulescu

2023

Sustainability

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Due to recent considerable technology breakthroughs in the education sector, new tools have been developed to improve learning. Motivating students to use new devices for learning rather than just for amusement, however, is a difficulty. The COVID-19 pandemic prompted the adoption of technological devices for course delivery, thereby highlighting the significance of mobile learning (m-learning) and allowing educators, students, and other stakeholders in the education sector to recognize its potential, advantages, drawbacks, and challenges. As m-learning has been an essential aspect of education for some time now, there is growing interest in assessing its long-term viability and usefulness across various educational domains, including economics. New technologies like computers, the internet, and related tools can help by bringing life to the classroom, gauging student progress, simulating economic activities and phenomena, and teaching vital skills needed for the economic world, like entrepreneurship. This study aims to explore the potential of incorporating new technologies in economic education, we study the tendency of the economical high school students towards using mobile devices for learning activities. A total of 407 participants were involved in research, the data from these respondents being collected with the help of a questionnaire survey. The original technology acceptance model (TAM) has been extended and the role of various external factors such as the subjective norm, learning autonomy, facilitating conditions or self-efficacy has been addressed. A list of hypotheses was proposed to validate the underlying model and provide guidance on how external factors affect attitudes towards using mobile devices. The empirical results indicated that perceived ease of use and perceived usefulness are significant predictors to explain the attitudes towards mobile devices use and m-learning and the analyzed external factors have a positive influence on them. In terms of methods used, we characterize the perception of students by structural equations modelling (SEM). This study identifies and analyzes the factors that influence students’ attitude and readiness towards mobile technology use in education, providing valuable insights into improving the adoption of new technologies and to evaluate the sustainability of m-learning in economic education.

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“…The results section indicates that research on this topic has primarily focused on university students and students in general in these countries. Ismiyati et al [48] conducted a study to investigate Semarang State University students' intention to use mobile learning as an alternative to in-person learning during the COVID-19 pandemic. Alturki and Aldraiweesh [44] examined students' perceptions of the actual use of mobile learning in higher education during the pandemic, providing a detailed view of their experiences.…”

Section: Analysis Of the Target Population In The Adoption Of Mobile ...mentioning

confidence: 99%

Adoption of mobile learning in the university context: Systematic literature review

Valencia-Arias,

Cardona-Acevedo,

Gómez-Molina

et al. 2024

PLoS ONE

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The study on the adoption of mobile learning in university education reveals a growing interest in mobile technologies to improve the learning process; both the acceptance and rejection of these tools among students have been analyzed. However, there are gaps in the research that require a deeper exploration of the factors that influence the adoption and use of these technologies. Understanding these aspects is crucial to optimize mobile learning strategies and improve the educational experience in the university setting. The objective is to examine research trends regarding the topic. PRISMA-2020 is used in the Scopus and Web of Science databases. The results show the questionnaires as the main collection instruments; geographical contexts show that it has been researched predominantly in Asia; The studies have focused on university students; the most applied theories are TAM and UTAUT; and latent variables such as behavioral intention and attitude. The conclusions summarize the trends and patterns observed in the reviewed literature, as well as the research gaps identified, providing a solid foundation for future research and highlighting the importance of addressing this issue in the current context of digital education. The systematic review identifies key models and factors in the adoption of mobile learning in university settings, revealing both theoretical and practical implications. Furthermore, this text provides practical guidance for selecting effective data collection tools and making informed educational and policy decisions. However, it acknowledges limitations such as potential publication and language bias in the search process.

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Understanding Students’ Intention to Use Mobile Learning at Universitas Negeri Semarang: An Alternative Learning from Home During Covid-19 Pandemic

Cited by 6 publications

References 52 publications

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use

Adoption of mobile learning in the university context: Systematic literature review

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