scholarly journals Approach to M-learning Acceptance Among University Students

2019 ◽  
Vol 20 (3) ◽  
Author(s):  
Isabel Gómez-Ramirez ◽  
Alejandro Valencia-Arias ◽  
Laura Duque
Keyword(s):  
Higher Education ◽  
University Students ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Effective Diffusion ◽  
Education Institution ◽  
Learning Technologies ◽  
Perceived Usefulness ◽  
Future Research ◽  
Acceptance Model

A growing number of higher education institutions have adopted tools to promote mobile learning. However, studies into the driving factors of its adoption are insufficient. This article identifies the aspects that have an effect on the adoption of mobile learning (m-learning) among university students. The theory of planned behavior (TPB) and technology acceptance model (TAM) have been shown to be valid and powerful models in the research on the adoption of learning technologies. Based on TPB and TAM, we propose a model to explain how perceptions influence m-learning adoption among Colombian university students. To confirm the acceptability of the model, a self-administered questionnaire was applied to 878 undergraduate university students from the Instituto Tecnológico Metropolitano (ITM), a higher education institution in Colombia The results suggest that all of the constructs of TPB and TAM have a moderate impact on the intention to adopt m-learning. Specifically, perceived usefulness and attitude have a significant influence on students’ acceptance of m-learning. These results can stimulate future research and promote an effective diffusion of m-learning in developing countries.

Are We There Yet?

2016 ◽  
Vol 8 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Stephen Asunka
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Education Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Tablet Pc ◽  
Tablet Pcs ◽  
Acceptance Model

This study used aspects of the classical Technology Acceptance Model (TAM) to predict instructor acceptance and adoption of a tablet computer (tablet PC) for mobile learning in a Ghanaian higher education institution. Following a distribution of a customized tablet PC (known as Campus Companion) to all instructors of the institution, and an expectation that they will use these devices to support and facilitate mobile learning, data on instructor perceptions, attitudes, and behavioral intention to use the technology were gathered and analyzed. Thirty-eight (38) instructors participated in the study. Findings show that instructors' intentions to use the tablet PC for mobile learning are very low, and are significantly influenced by their perceived usefulness, perceived ease of use and attitude towards the device. Implications of these findings for practice and further research are discussed within the context of the adoption of tablet PCs for mobile learning within the Ghanaian higher education context in particular and the developing world in general.

scholarly journals Investigating the Use and Acceptance of Technologies by Professors in a Higher Education Institution

2019 ◽  
Vol 9 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Carolina Costa ◽  
Helena Alvelos ◽  
Leonor Teixeira
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Teaching And Learning ◽  
Education Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Learning Context ◽  
Higher Education Institution ◽  
Acceptance Model

This article analyses the use and acceptance of technologies by professors in the teaching and learning context in a higher education institution. In the empirical study, a questionnaire based on the technology acceptance model was applied. The results indicated that the most used technologies are Moodle, Facebook and YouTube and it was concluded that in general, those technologies are well accepted. Few statistically significant differences between respondents' gender, scientific areas or ages were found, revealing that the use of those technologies is already widespread in the studied institution. Results also showed that perceived usefulness and perceived ease of use are two important determinants of Moodle acceptance, and that the majority of respondents did not know the MOOC concept. This article is valuable for researchers in the area and for professors that want to implement the use technologies in the teaching and learning context.

scholarly journals An Empirical Study of Factors Driving the Adoption of Mobile Learning in Omani Higher Education

2016 ◽  
Vol 17 (4) ◽  
Author(s):  
Mohamed Sarrab ◽  
Ibtisam Al Shibli ◽  
Nabeela Badursha
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Learning Technologies ◽  
Ease Of Use ◽  
Driving Factors ◽  
Just In Time ◽  
Short Supply ◽  
Acceptance Model

<p class="2">Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article focuses on the driving factors in adoption of M-learning and the learner’s perceptions and willingness towards M-learning adoption. Technology Acceptance Model (TAM) has been shown to be a valid and powerful model in mobile and other learning technologies research. Based on Technology Acceptance Model theory, this paper analyzes the influencing factors on M-learning adoption and measure the acceptance of M-learning in Oman. The data collected from 806 participants in 17 different Omani higher education institutions using a survey questionnaire. Some factors of perceived innovative characteristics, such as ease of use, usefulness, enjoyment, suitability, social, and economic were found to have more influence on learners’ adoption of M-learning which help to facilitate and promote future empirical research. This effort is part of funded research project that investigate the development, adoption, and dissemination of M-learning in Oman.</p>

scholarly journals The COVID-19 Pandemic and the Acceptance of E-Learning among University Students: The Role of Precipitating Events

2021 ◽  
Vol 11 (8) ◽  
pp. 436
Author(s):  
Prageeth Roshan Weerathunga ◽  
W. H. M. S. Samarathunga ◽  
H. N. Rathnayake ◽  
S. B. Agampodi ◽  
Mohammad Nurunnabi ◽  
...  
Keyword(s):  
Higher Education ◽  
University Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
E Learning ◽  
Acceptance Model

This study examined the effect of the COVID- 19 pandemic and related events on the use of e-learning, as well as other key determinants of it. The data were collected from 1039 university students in Sri Lanka. To examine the influence of the COVID-19 pandemic, which was viewed through the lens of precipitating events, on the intention–behaviour relationship, we employed the Technology Acceptance Model (TAM) with the inclusion of a moderating variable. While the findings indicated that the COVID-19 pandemic had clearly increased the usage of e-learning, we found no evidence to establish a moderating impact on the intention–behaviour relationship. The empirical model, however, was well fitted to the data, and the key components of the TAM were likewise adequately described by the relevant predictors. Furthermore, attitudes toward e-learning and perceived ease of use emerged as the most important factors in explaining behavioural intention, whereas relevance and experience were shown to be more significant in relation to perceived usefulness and perceived ease of use. Our work is significant because it adds to the existing empirical evidence on e-learning and supports the relevance of TAM in understanding the usage of e-learning even in extreme situations such as the COVID-19 pandemic. Our research has significant implications for educators and other higher education authorities.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

An Examination of Factors Associated with User Acceptance of Social Shopping Websites

2013 ◽  
pp. 28-45
Author(s):  
Jia Shen ◽  
Lauren B. Eder
Keyword(s):  
Technology Acceptance ◽  
Social Engagement ◽  
Strong Support ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Theoretical Development ◽  
Future Research ◽  
Social Commerce ◽  
Social Shopping ◽  
Acceptance Model

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.

Instructor Perceptions and Intentions to Use a Tablet PC for Mobile Learning in a Ghanaian University

2016 ◽  
pp. 495-517 ◽  
Author(s):  
Stephen Asunka
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Tablet Pc ◽  
Instructor Perceptions ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Learning Data

This study used aspects of the Technology Acceptance Model (TAM) to predict instructor acceptance and adoption of a tablet computer for mobile learning in a Ghanaian University. Following the distribution of a customized tablet PC (known as Campus Companion) to all instructors of the institution, and an expectation that they will use these devices to support and facilitate mobile learning, data on instructor perceptions, attitudes, and behavioral intention to use the technology were gathered and analyzed. Thirty-eight (38) instructors participated in the study. Findings show that instructors' intentions to use the tablet PC for mobile learning are very low, and are significantly influenced by their perceived usefulness, perceived ease of use and attitude towards the device. Implications of these findings for practice and further research are discussed within the context of the adoption of m-learning within the Ghanaian higher education context in particular and the developing world in general.

scholarly journals Structural Equation Modeling for Mobile Learning Acceptance by University Students: An Empirical Study

2020 ◽  
Vol 12 (20) ◽  
pp. 8618
Author(s):  
Quadri Noorulhasan Naveed ◽  
Mohammad Mahtab Alam ◽  
Nasser Tairan
Keyword(s):  
University Students ◽  
Social Influence ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Mobile Learning Acceptance ◽  
Facilitating Conditions

Advanced mobile devices and global internet services have enhanced the usage of smartphones in the education sector and their potential for fulfilling teaching and learning objectives. The current study is an attempt to assess the factors affecting mobile learning acceptance by Saudi university students. A theoretical model of mobile learning acceptance was developed based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model. Theoretically, five independent constructs were identified as most contributory towards the use of mobile learning and tested empirically. Data were collected through an online survey and analyzed using SmartPLS. The results of the study indicate that four constructs were significantly associated with mobile learning acceptance: perceived usefulness (β = 0.085, t = 2.201, and p = 0.028), perceived ease of use (β = 0.031, t = 1.688, and p = 0.013), attitude (β = 0.100, t = 3.771, and p = 0.037), and facilitating conditions (β = 0.765, t = 4.319, and p = 0.001). On the other hand, social influence was insignificant (β = −0.061, t = 0.136, and p = 0.256) for mobile learning acceptance. The contribution of social influence towards the use of mobile learning was negative and insignificant; hence, it was neglected. Thus, finally, four constructs (perceived usefulness, perceived ease of use, attitude, and facilitating conditions) were considered as important determinants of mobile learning acceptance by university students.

Determinants of digital learning acceptance behavior

2019 ◽  
Vol 12 (4) ◽  
pp. 659-672
Author(s):  
Mohit Kant Kaushik ◽  
Deepak Verma
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Education Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Body Of Knowledge

Purpose The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning. Design/methodology/approach The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined. Findings The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior. Practical implications The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning. Originality/value The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.

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.

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