User acceptance of social learning systems in higher education: an application of the extended Technology Acceptance Model

Implementation of Augmented Reality for Earth Layer Structure on Android Based as A Learning Media isa research that aims to help in presenting material to Elementary School children. The research methodchosen in the completion of this study uses the 4D method (Define, Design, Develop and Disseminate) witha data collecting method using Technology Acceptance Model (TAM) built one construct with threedimensions of user assessment level of technology acceptance to support the basis of questionnaire design.AR design supported by 3D models, in order to be able to support the details of each explanation of thematerial contained, thus helping users to understand the material and ease of interaction on the media.The final result obtained in this research is that the application is stated to be able to help the school, it is used as a media display in the classroom so students do not need to imagine themselves, but simply byusing learning media is able to present the material to students.Keywords: Learning Media, 4D Method, User Acceptance Test, Augmented reality, Android.

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Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model

Behaviour and Information Technology ◽

10.1080/0144929x.2018.1427793 ◽

2018 ◽

Vol 37 (2) ◽

pp. 173-197 ◽

Cited By ~ 23

Author(s):

Hamed Taherdoost

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

User Acceptance ◽

Adoption Model ◽

Acceptance Model

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User Acceptance of Mobile Library Applications in Academic Libraries: An Application of the Technology Acceptance Model

The Journal of Academic Librarianship ◽

10.1016/j.acalib.2016.08.003 ◽

2016 ◽

Vol 42 (6) ◽

pp. 687-693 ◽

Cited By ~ 35

Author(s):

Hye-Young Yoon

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Academic Libraries ◽

User Acceptance ◽

Acceptance Model

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Evaluation of South African Universities’ Web Portal Interfaces using a Triangulation of Ubiquitous Computing Evaluation Areas and Technology Acceptance Model

User Behavior in Ubiquitous Online Environments - Advances in Human and Social Aspects of Technology ◽

10.4018/978-1-4666-4566-0.ch008 ◽

2014 ◽

pp. 150-172 ◽

Cited By ~ 1

Author(s):

Vathiswa M. Booi ◽

George E.M. Ditsa

Keyword(s):

Ubiquitous Computing ◽

Technology Acceptance ◽

South African ◽

Technology Acceptance Model ◽

User Acceptance ◽

Web Portal ◽

User Friendliness ◽

South African Universities ◽

Huge Impact ◽

Acceptance Model

There are growing concerns over the user friendliness and other usability issues of South African Universities’ Web Portal Interfaces (UWPIs), which obviously will negate the user acceptance of the UWPIs. The main goal of this study is to develop a framework that could be used to evaluate and provide additional guidelines to improve the Usability and User Acceptance of South African UWPIs. The study applies a triangulation of Ubiquitous computing Evaluation Areas (UEAs) and the Technology Acceptance Model (TAM) as theoretical foundations to derive the research model. Multiple regression and stepwise regression analyses are used. The results suggest that Interaction and Invisibility of UWPIs are the most important measures that have a huge impact on user acceptance and usability, respectively. The results of the study provide guidelines for the design and development of South Africa UWPIs to meet their usability and user acceptance.

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Technology Acceptance Model

Handbook of Research on Electronic Surveys and Measurements ◽

10.4018/978-1-59140-792-8.ch038 ◽

2007 ◽

pp. 306-308

Author(s):

M. McCord

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Information Technologies ◽

Employee Performance ◽

User Acceptance ◽

Ease Of Use ◽

Perceived Usefulness ◽

Perceived Ease Of Use ◽

Intent To Use ◽

Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

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Continuance Intentions to Use Gamification for Training in Higher Education: Integrating the Technology Acceptance Model (TAM), Social Motivation, and Task Technology Fit (TTF)

IEEE Access ◽

10.1109/access.2020.2966179 ◽

2020 ◽

Vol 8 ◽

pp. 21473-21484 ◽

Cited By ~ 4

Author(s):

Vanye Zira Vanduhe ◽

Muesser Nat ◽

Hasan Fahmi Hasan

Keyword(s):

Higher Education ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Social Motivation ◽

Task Technology Fit ◽

Acceptance Model ◽

And Task

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Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v14i03.9732 ◽

2019 ◽

Vol 14 (03) ◽

pp. 4 ◽

Cited By ~ 8

Author(s):

Sami Saeed Binyamin ◽

Malcolm Rutter ◽

Sally Smith

Keyword(s):

Higher Education ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Ease Of Use ◽

Management Systems ◽

Perceived Ease Of Use ◽

Content Quality ◽

Instructional Assessment ◽

E Learning ◽

Acceptance Model

Although learning management systems (LMS) have been widely adopted by higher educational institutions in many countries, they are considered an emerging technology in Saudi Arabia. Furthermore, research has demonstrated that the students’ use of them is not always satisfactory. This quantitative study investigated the factors that affect the students use of LMS in higher education by extending the technology acceptance model (TAM) and adapting eight external variables. Based on the probability multi-stage cluster sampling technique, online surveys were sent by email to 2000 students registered in three public universities in Saudi Arabia. 851 responses were submitted by participants, and 833 responses were used for data analysis. Using Partial Least Squares Structural Equations Modeling (PLS-SEM), the results revealed that perceived ease of use is affected by six factors (content quality, system navigation, ease of access, system interactivity, instructional assessment and system learnability). The findings confirmed that perceived usefulness has five determinants (content quality, learning support, system interactivity, instructional assessment and perceived ease of use). This research is relevant to researchers, decision makers and e-learning systems designers working to enhance students’ use of e-learning systems in higher education, in particular where there is not yet widespread adoption.

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