scholarly journals Adoption of Technology Acceptance Model in Technical Universities Libraries: Implication to Higher Education in Ghana

2021 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Public Access ◽  
Technology Infrastructure ◽  
Digital Resources ◽  
Adoption Of Technology ◽  
Education In Ghana ◽  
Acceptance Model ◽  
Higher Institutions

The research is on the adoption of Technology acceptance model in technical universities libraries: Implication to higher institutions education in Ghana. It revealed the concept of the Technology acceptance model theory that related to the study. Descriptive research was used for the research with a sample of 20 librarians within the technical universities landscape. Findings showed that 90percent of the respondents revealed that their students do not have access to online digital resources like open public access catalogues (OPAC), e-books, e- journals and other electronic databases. Network problems; Server slowness and frequent breakdown of digital resources. The implications to technical higher education are that students that utilize less of Technology in knowledge acquisitions will lag in their research, learning and assignment process in this digital age. The research recommends that GTEC should enforce the implementation of the ten to fifteen percent of each Technical University's expenditure on Library’s Technology infrastructure.

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

2019 ◽  
Vol 14 (03) ◽  
pp. 4 ◽  
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.

scholarly journals Structural Equation Model of Acceptance Cloud Learning for Sustainability Usage in Higher Education Institutes

2019 ◽  
Vol 14 (10) ◽  
pp. 18 ◽  
Author(s):  
Supparang Ruangvanich ◽  
Pallop Piriyasurawong
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Structural Equation Model ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Technology Development ◽  
Equation Model ◽  
Vital Role ◽  
Content Quality ◽  
Acceptance Model

The study is to propose the structural equation model for sustainability in higher education about the use of cloud learning based on the technology acceptance model. Also, this well-known implemented-model was developed by Davis et al.’s technology acceptance model (TAM). The researchers instituted the hypothesized internal hierarchy among content quality, cloud computing, and social cloud for sustainability usage. The informed hypothesis was obtained from a scientific method known as the systematic literature review. After that, the higher education institutes in Thailand has given attention to the burgeoning of cloud learning due to the additional demand in line with technology development for tertiary instruction in the country. Nevertheless, the strength of its usage is not very outstanding, and there is a need to understand the student’s attitude on the sustainability usage of cloud learning from the perspectives of the technology acceptance model. This study indicated that sustainability usage was a significant predictor towards student to use cloud learning. As a result, it is seen that pupils' attitude plays a vital role in contributing to the sustainability to use cloud learning. The consequence of this study is expected to improve and upgraded cloud learning to be beneficial according to the needs of the students.

scholarly journals Rubrics on the Fly: Improving Efficiency and Consistency with a Rapid Grading and Feedback System

2015 ◽  
Vol 4 (2) ◽  
pp. 6-29 ◽  
Author(s):  
Adam C. Moyer ◽  
William A. Young II ◽  
Gary R. Weckman ◽  
Clarence (Red) Martin ◽  
Ken Cutright
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Feedback System ◽  
The United States ◽  
Ease Of Use ◽  
Management Systems ◽  
Midwestern University ◽  
Survey Results ◽  
Acceptance Model

Many learning management systems (LMS) used in higher education provide customizable rubrics that aid in the process of grading and providing feedback for many forms of assessments commonly used by educators today. Rapid Grade is a grading and feedback feature built into a non-commercialized LMS developed by a large, public, Midwestern university in the United States. In this research, Rapid Grade was compared to a grading and feedback system found in one of the most utilized LMS found in higher education. It should be noted that the name of this particular LMS is not named. Using the Technology Acceptance Model to validate that Rapid Grade empirically improves upon existing methods, survey results indicate that Rapid Grade is a significant improvement in terms of ease of use and usefulness when grading and providing feedback for a given assessment. The Rapid Grade framework as well as the specific results of the TAM is presented.

scholarly journals The perceived time value importance for enrolment in online masters courses: an extension of the Technology Acceptance Model

2020 ◽  
pp. 475-494
Author(s):  
Mohammad Reza Mazandarani ◽  
Marcelo Royo-Vela
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Higher Education System ◽  
Time Value ◽  
Perceived Utility ◽  
Acceptance Model ◽  
The Impact

Purpose. The main objective of this research is to obtain a better understanding of the impact of perceived time value on the intention of pursuing an online Master’s degree for its applicants. For this reason, perceived time value is added to the Technology Acceptance Model. Design/methodology/approach. Data are collected from a purposive sample of 147 individuals, who were interested to continue their higher education. Both, online and personal surveys are used to collect data. Achieved data are analysed by structural equation modelling. Findings. The results show that the perceived time value is significantly related to the ease of use and perceived utility, which in turn, show a significant effect on the attitude towards enrolment. Also the attitude towards enrolment is positively and significantly related to the Behavioural Intention towards studying an online Master (BIS). On the other hand, the perceived utility does not show a significant relationship with BIS. Research limitations/implications. This paper only examines the perceived time value before attending an online Masters. This perception may change after starting such courses. Additionally, there might be more factors influencing their intention toward a particular higher education system that is not mentioned in this article. Practical implications. This research can help the designers of these courses to understand the perception of the value of the time of the applicants before starting an online Master and thus, help them to plan their future marketing strategies more successfully. Originality/value. This article demonstrates the effect of the motivating factors of the applicants for enrolment in an online Master by analyzing the importance of managing and saving time, resulting in more free time.

Learning Management System (LMS) Development for Higher Technical Education in Ghana

2021 ◽  
Vol 11 (2) ◽  
pp. 87-109
Author(s):  
Nana Yaw Asabere ◽  
Joseph Agyiri ◽  
Richard Tenkorang ◽  
Anita Darkwah
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Quantitative Research ◽  
Tertiary Institution ◽  
Face To Face ◽  
Learning Management ◽  
Education In Ghana ◽  
Acceptance Model ◽  
Education Of Students ◽  
Academic Resources

In developing nations such as Ghana, traditional face-to-face (F2F) mode of education is challenged when physical classroom (academic) resources are not available for all students in a particular tertiary institution. Globally, education modes have improved through learning management systems (LMSs) as a result of technological advancements. Accra Technical University (ATU) in Ghana is currently facing the problem of turning away qualified applicants due to the fact that the academic resources in ATU are not enough to accommodate all qualified applicants. Using a quantitative research instrument (questionnaire) in accordance to the five-point Likert scale and components of the technology acceptance model (TAM) framework, this paper tackled the problem above by proposing and developing an LMS to support the education of students in ATU. Analytical results of data responses from 200 lecturers and 16 students in ATU, showed that majority of these stakeholders are willing to embrace technology and the developed LMS in ATU.

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