scholarly journals An Empirical Study to Explore the Adoption of E-Learning Social Media Platform in Taiwan: An Integrated Conceptual Adoption Framework Based on Technology Acceptance Model and Technology Threat Avoidance Theory

2021 ◽  
Vol 13 (17) ◽  
pp. 9946
Author(s):  
Mei-Hui Peng ◽  
Hsin-Ginn Hwang
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Learning System ◽  
Equation Modeling ◽  
Research Framework ◽  
E Learning ◽  
Threat Avoidance ◽  
Acceptance Model

Currently, social media is ubiquitous and essential for social networking and content sharing. It is an effective platform for teaching and learning in higher education and provides a novel way to communicate between instructors and pupils. Thus, the purpose of this study was to present a research framework to examine students’ motivation to adopt an e-learning system with social medial platforms. This cross-sectional study used the questionnaire to collect data from the students in Taiwan. A framework has examined students’ motivation to adopt an e-learning system with social medial platforms based on the modified technology acceptance model (TAM) and technology threat avoidance theory (TTAT). The research framework was evaluated by structural equation modeling (SEM) and represented by Smart-PLS. A total of 262 valid responses were used for statistical analysis. The results recommended modified research model explains 77.0% of the variance of motivation to adopt (R2 = 0.77). The findings also supported perceived usefulness, perceived ease of use, perceived cost, perceived effectiveness, and self-efficacy significantly influenced students’ motivation to use. Results also indicated threat appraisal, perceived susceptibility, and perceived severity are not significant factors for predicting students’ motivation to adopt e-learning in higher education.

scholarly journals Validating the General Extended Technology Acceptance Model for E-Learning: Evidence From an Online English as a Foreign Language Course Amid COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Michael Yi-chao Jiang ◽  
Morris Siu-yung Jong ◽  
Wilfred Wing-fat Lau ◽  
Yan-li Meng ◽  
Ching-sing Chai ◽  
...  
Keyword(s):  
Foreign Language ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model ◽  
Novel Coronavirus

The present study validated the general extended technology acceptance model for e-learning (GETAMEL) with the survey data from the English as a foreign language (EFL) online class during the novel coronavirus lockdown period. A total of 678 undergraduates participated in the survey. Structural equation modeling was employed to analyze the data. The results showed that the influence of perceived usefulness of students on their intentional behavior to use the online learning system was not mediated by their attitude, indicating a very limited role of attitude toward technology in the model. Enjoyment and self-efficacy had no significant effects on the internal constructs, raising theoretical concerns on the applicability of this general model into specific contexts. In addition, we found that experience might be a moderator rather than an antecedent of the internal constructs in the model.

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

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 Analysis of Learning Governance Using E-Learning with Technology Acceptance Model (TAM) In the Covid-19 Pandemic ERA

2021 ◽  
pp. 80-88
Author(s):  
Nurohman1 ◽  
Nurhayati ◽  
Wiji Lestari
Keyword(s):  
Data Processing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Support ◽  
User Satisfaction ◽  
Learning System ◽  
Research Approach ◽  
E Learning ◽  
Acceptance Model ◽  
Strongly Agree

The learning with e-learning is not only due to aspects of the development of information technology but also due to the Covid-19 pandemic. The Covid-19 pandemic has forced all levels of society to adhere to the New Normal way of life. Elearning is a solution for learning in this pandemic era. This study will examine the analysis of learning management with Eleaning at Duta Bangsa University Surakarta with the Technology Acceptance Model (TAM) approach during the Covid-19 pandemic. This study uses a descriptive research approach with research respondents consisting of 25 lecturers and 48 students. Research data collection was carried out using an online questionnaire. The questionnaire consists of 16 questions which are the elaboration of 8 items of user satisfaction parameters in the use of the Elearning System. The eight items are Content, Format, Accuracy, Timeliness, Ease of Use, User Attitudes Towards Systems, Organizational Support and Perceived Attitude of Top Management. The results of testing and data processing, both data from lecturers and students, are normally distributed, with the Kolmogorov-Smirnov test. The results of testing the data related to the 16 questionnaire questions also show that the data is valid and reliable. User satisfaction with the implementation of learning through the Elearning System during the Covid-19 pandemic is quite high, above 75% strongly agree, even from 8 items, 7 items on average are above 80% strongly agree. From the results of data processing per item, an average of 4.15 was obtained for lecturer respondents, which means that acceptance strongly agrees with the E-learning system around 83.0%. For student respondents the average is 4.11, which means that the acceptance of the E-learning system is 82.2%. Content occupies the highest satisfaction score of 89.2% for lecturers and 86.2% for students. While the lowest level of satisfaction is organizational support, the satisfaction rate for lecturers is 76.4% and students are 77.8%.

scholarly journals Students’ Intention to Participate in E-learning

2020 ◽  
Author(s):  
Khairul . ◽  
Eugene Okyere-Kwakye ◽  
Desi Ilona ◽  
Zaitul .
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Discriminant Validity ◽  
Learning System ◽  
Convergent And Discriminant Validity ◽  
Intention To Participate ◽  
E Learning ◽  
Research Objects ◽  
Acceptance Model ◽  
The Relationship

This study seeks to investigate the effect of controllability and responsiveness on the perceived ease of e-learning use. This study also aims to determine the relationship between the perceived ease of e-learning use and the student’s intention to participate in e- learning. This study extends the technology acceptance model by considering the external factors; controllability and responsiveness of e-learning system. Thirty-one students from Bung Hatta University were selected as research objects for this study, and three hypotheses were developed. SEM-PLS was applied to analyze the data and smart-pls 3.2.7 software was used to reject the null hypotheses. Having had a satisfied convergent and discriminant validity, this study demonstrates that the controllability and responsiveness of an e-learning system does not have a significant effect on the perceived ease of e-learning use. However, the relationship between the perceived ease of e-learning use and the students’ intention to participate in e-learning is significantly positive. The practical and theoretical implications are discussed in this paper.

scholarly journals The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Junaid Shahid Hasni ◽  
Maya F. Farah ◽  
Ifraaz Adeel
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Tourism Industry ◽  
Equation Modeling ◽  
Convenience Sample ◽  
Content Type ◽  
Social Media Platform ◽  
Media Platform ◽  
Acceptance Model

PurposeThis paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.Design/methodology/approachA survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.FindingsThe findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.Originality/valueThis research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

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