Examining the students' behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach

By Ching-Ter Chang, J. Hajiyev, Chia-Rong Su. Comput. Educ., 2017

439 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f642684d856ee9212809c52054b51a4ec0f37bb4

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Citations in the corpus

Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy (2024, positive): “These findings are consistent with those of Lam et al. (2007), Chang et al. (2017), and Revythi and Tselios (2019), who suggest a relationship between behavioral intention and attitudes toward using technology.”
Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model (2021, background): “Furthermore, it has been proven that past experience highly influenced users’ perceived usefulness in using e-learning (Abdullah et al., 2016; Chang et al., 2017; Lee et al., 2013; Liu et al., 2010; Martin, 2012).”
Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic (2020, background): “In another study in Azerbaijan, Chang et al. (2017) found subjective norms, experience and enjoyment influenced acceptance of e-learning.”
Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019, methodology): “It was demonstrated in previous research that PE has a significant effect on perceived ease of use [48], [53]–[56] and perceived usefulness [14], [57]–[59] of e-learning.”
Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model (2019, methodology): “The eﬀect of perceived enjoyment on system use was conﬁrmed in a previous study (Sánchez-Prieto et al., 2016; Chang et al., 2017; Tsai et al., 2018), and perceived enjoyment is the most commonly used external factor in the TAM.”