The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK

Kurt, Özlem Efiloğlu; Tıngöy, Özhan

doi:10.1186/s41239-017-0064-z

Cited by 41 publications

(23 citation statements)

References 41 publications

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“…Thus, the usage of Moodle by the student was affected by facilitating conditions such as access to devices, lack of support, low efficacy, high data costs, lecturer feedback, among others. The results are consistent with several studies such as Abu-Al-Aish and Love (2013); Kurt and Tingöy (2017); Nistor et al (2014); Magsamen-Conrad et al (2015); Tan (2013), Attuquayefio and Addo (2014) who found out that performance expectancy and facilitating conditions were significant determinants. Access to appropriate devices that can facilitate effective learning by students in developing countries is a challenge.…”

Section: Discussionsupporting

confidence: 92%

“…The moderating variables (Age, Gender, Voluntariness, and Experience) were not used in this study as the researcher felt that the constructs did not influence the usage of Moodle by university students. Several scholars researching technology acceptance by students made similar assumptions, such asRaman et al (2014);Liebenberg et al (2018);Attuquayefio and Addo (2014);Kurt and Tingöy (2017);Nistor et al (2014);Magsamen-Conrad et al (2015), andTan (2013), who investigated the adoption of various technologies by students.…”

mentioning

confidence: 99%

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Factors Influencing Student’s Perceptions Towards E-Learning Adoption During COVID-19 Pandemic: A Developing Country Context

Maphosa

2021

European Journal of Interactive Multimedia and Education

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After the coronavirus outbreak, face-to-face teaching was interrupted partially or entirely, and several universities adopted a variety of remote-based learning approaches. Most institutions in the developing world were not ready for such an abrupt change. Access to appropriate devices that facilitate students' effective learning in developing countries remains a challenge. This study evaluates university students' perceptions regarding e-learning deployment during COVID-19 and the factors that affected usage. The quantitative study employed an adapted Unified Theory of Acceptance and Use of Technology model to guide the research process. The model has five exogenous and two endogenous variables. The survey research was administered to randomly selected undergraduate University students, with 314 completing the online questionnaire. The results show that performance expectancy, effort expectancy, and the facilitating conditions positively influenced the students' behavioural intentions to use Moodle. Thus, the students had a positive perception of online learning. Results indicate a significant loss of learning due to the unavailability of technology and the cost of data; nevertheless, students agreed that online learning represents the future of teaching and learning. The findings also show that subsidised access to resources and materials is critical for the effective adoption of e-learning. This study's output provides valuable information to policymakers and researchers regarding students' perceptions and the state of elearning at institutions of higher learning.

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Section: Discussionsupporting

confidence: 92%

mentioning

confidence: 99%

Factors Influencing Student’s Perceptions Towards E-Learning Adoption During COVID-19 Pandemic: A Developing Country Context

Maphosa

2021

European Journal of Interactive Multimedia and Education

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“…Systematic Literature Review is considered by researchers as a term adopted to refer to a particular research or research methodology [22]. Its development is carried out in gathering and evaluating related research on a particular topic focus [23], [24].…”

Section: Methodsmentioning

confidence: 99%

Acceptance of Technology in Online Learning Perspective at Educational Institutions : A Systematic Literature Review

Pamuji¹

2020

ITEJ

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Today, many applications or technologies have been produced by every software developer. However, the success of all there is the decision of each user. Users have two possibilities to accept or reject a technology that is presented. The TAM model has been widely researched and undergone development and changes besides being quite reliable in predicting the level of technology acceptance in all countries in the world. In this study, we will recapitulate all studies on the acceptance of technology in the field of Education that handles online learning. The results showed that there was 51 article review publication were selected through some process of review. The period taken ranges from 2011 to 2020. The main findings show that there are differences in the models, methods, and applications identified. Since the TAM model has two basic variables, namely perceived ease of use and perceived usefulness as a framework for analyzing the make and influence technology acceptance. In this study also provides information about the results of the identification of some of the gaps in current research and also in the future. Therefore, the results of a systematic literature review were able to provide a better understanding of TAM especially in the perspective of education in online learning.

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“…The findings show that actions, social impact and CCC substantially influence the Cloud classroom adoption. In their field of research, Kurt and Tingöy (2017) aimed at investigating to what degree students accept and use virtual or online school learning environments. The findings show that behavioral intent of the performance expectancy variables is significantly affected.…”

Section: Unified Theory Of Acceptance and Use Of Technology (Utaut)mentioning

confidence: 99%

Determinants factors of intention to adopt big data analytics in Malaysian public agencies

Sahid

Sani

Noordin

et al. 2021

JIEM

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Purpose: This research objective was to analyze factors affecting IT practitioners’ behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models.Design/methodology/approach: Using a cross sectional survey, empirical data were collected. A total of 200 questionnaires were obtained and screened. 14 insufficient answers were subsequently discarded leaving 186 valid structured data review questionnaires. Data was analizad using the Partial Least Square Modeling of Structural Equations due to one of the best software for verifying structured data on structural equations modeling (SEM).Findings: Our findings show that two key factors determine behavioral intention to adopt BDA in government agencies. Firstly, the assumption that the technology is going to produce great results raises the expectation of performance. TTF was the second determinant factor. Surprisingly, Initial trust, on the other hand, had not been considered to be a key determinant of behavioural intention and was found to be adversely related to the BDA intentionResearch limitations/implications: These findings identify the crucial model, that would be useful to IT officers in public agencies in making investment choices and designing non-adopter-friendly outreach strategies because they have more barriers to acceptance than adopters and lead adopters in the reward ladder.Practical implications: The findings suggest significant recommendations and consequences for BDA systems practitioners and application developers, which could coincide with the successful implementation of BDA systems. This research gives practitioners an initial way to incorporate and endorse BDA activities in their organization to make the most of the advantages of revolutionary technology, particularly within public agencies.Originality/value: This study's model is helpful and promotes a theory for further BDA research. By utilizing the model, existing public agencies can know their own BDA capability, centered around activities with specifically tailored outcomes, organization dynamics, resources, skills and potential services.

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The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK

Cited by 41 publications

References 41 publications

Factors Influencing Student’s Perceptions Towards E-Learning Adoption During COVID-19 Pandemic: A Developing Country Context

Factors Influencing Student’s Perceptions Towards E-Learning Adoption During COVID-19 Pandemic: A Developing Country Context

Acceptance of Technology in Online Learning Perspective at Educational Institutions : A Systematic Literature Review

Determinants factors of intention to adopt big data analytics in Malaysian public agencies

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