scholarly journals The Impact of Digital Learning on Private School from Perspective of Technology Acceptance Model

2018 ◽  
Vol 7 (3.20) ◽  
pp. 480
Author(s):  
Hayder Hussein Azeez ◽  
. . ◽  
. .

Despite the difficulties, risk and failures, higher education institutions are continuously replacing/implementing digital Systems to meet the demands of sector competition and expectation forming the stakeholders. Many literatures claim that the digital implementation is risky and challenging. Especially when HEIs are novice, it becomes important to mitigate the risk involved in digital implementation for a successful implementation. This paper proposes a new risk based framework for digital implementation in higher education.  

Author(s):  
Mohammad Reza Mazandarani ◽  
Marcelo Royo-Vela

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.


Author(s):  
Ulfah Mediaty Arief Et al.

As the leading provider of education, teachers need to have high technology adoption skills. There is LMS technology in inputs that can streamline learning practices. Mostly with inclusion of the impact of organizational culture and machine self-efficacy on LMS Schoology, this study aims to see the capacity of technology acceptance by teachers using the Technology Acceptance Model (TAM).The results of the study using the model described above for teachers in the cities of Salatiga and Boyolali show that organizational culture does not have a major impact on attitude or purpose to use towards LMS Schoology.The self-efficacy of computers may not affect perceived utility, but has a substantial impact on perceived ease of use. The model also indicates that teachers, while they find it difficult to incorporate it, have a positive attitude towards the nature of LMS technology.


Author(s):  
Charles Chen ◽  
Shih-Wei Chou

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.


Author(s):  
Sami Saeed Binyamin ◽  
Malcolm Rutter ◽  
Sally Smith

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.


Author(s):  
Supparang Ruangvanich ◽  
Pallop Piriyasurawong

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.


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