Theories Integrated With Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review

Author(s):  
Abdulsalam Salihu Mustafa ◽  
Manuel B. Garcia
2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.


Jurnal Teknik ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 112-122
Author(s):  
Yulius Hari ◽  
Darmanto ◽  
Budi Hermawan ◽  
Yonatan Widianto ◽  
Indra Budi Trisno

In the situation of a pandemic novel COVID-19 throughout the world forced all changes in the order of activities that exist in society, one of which is in teaching and learning activities. As a solution to learning activities at the moment everything must be implemented online, both students and instructors are forced to adapt to the online learning system . This sudden change often causes problems related to learner's behavior. This study tries to observe student behavior towards learning activities that are forced to be done from home with the principle approach of the Technology Acceptance Model (TAM). The research respondents numbered 93 people and the elearning system tested was the use of learning media with whatsapp, LMS Moodle, zoom meeting and its combination. The results of this study can provide recommendations in distance learning in the future.


Author(s):  
Ashfaq Ahmad ◽  
Tareq Rasul ◽  
Anish Yousaf ◽  
Umer Zaman

Elderly diabetic patients in developed countries have been widely using digital health wearables for many years to manage their diabetes-related health data accurately. To encourage the increased adoption of digital health wearables among elderly diabetic patients in a developing country, Bangladesh, this study investigated the factors that influenced the existing elderly users’ continuance intention to use this technology. The Technology Acceptance Model (TAM) has been used here as a theoretical basis. A model using structural equation modelling was developed for the elderly diabetic patients’ continuance intention to use digital health wearables. Survey-based data were collected in Bangladesh from 223 diabetic patients aged sixty years and older. This study found that all six constructs, namely, perceived usefulness (β = 0.183), perceived ease of use (β = 0.165), perceived irreplaceability (β = 0.138), perceived credibility (β = 0.165), compatibility (β = 0.285) and social influence (β = 0.226) had a positive influence on elderly diabetic patients’ continuance intention to use digital health wearables. Along with the theoretical contributions, the findings of this study can be used by developers of digital health wearables, manufacturers, marketers and health practitioners in developing better strategies to increase the elderly diabetic patients’ continuance intention to use this technology.


2020 ◽  
Vol 19 (s) ◽  
pp. 1-1
Author(s):  
L. Scheling ◽  
M.R. Jokisch ◽  
M. Doh ◽  
H.-W. Wahl

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