User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model

By Doo Young Lee, Mark R. Lehto. Comput. Educ., 2013

552 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/c9aaceb2e8d1eb958a4c8ce0b11ddac23ee64c77

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In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective (2021, background): “Thus, if one provides better technology for a gi en task and fitness is high, then the user has higher personal p rformanc in th task [43].”
Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model (2021, background): “For example, perceived usefulness was also a weak predictor for students’ behavioural intention to use YouTube for procedural learning (Lee & Lehto, 2013) and student behavioural intention to adopt mobile technology for student–teacher interactions (Sim & Finger, 2012).”
Factors Influencing Preservice Teachers' Intention to Use Technology: TPACK, Teacher Self-efficacy, and Technology Acceptance Model (2018, background): “Based on TAM, researchers have explored the influence of perceived ease of use on perceived usefulness (Chow, Herold, Choo, & Chan, 2012; Joo, Lee, & Ham, 2014; Lee & Lehto, 2013).”
Learning with mobile technologies - Students' behavior (2017, background): “Lee and Lehto (2013) makes a research based on a TAMmodel as well reporting the determinants that may influence in the behavioural intention to use new technologies.”
A theoretical model of mobile augmented reality acceptance in urban heritage tourism (2018, background): “The majority of earlier TAM research identi ﬁ ed external dimensions from the secondary literature (Ayeh et al., 2013; Lee & Lehto, 2013; Leue et al., 2014).”
FinTech and commercial banks' performance in China: A leap forward or survival of the fittest? (2021, background): “In turn, these attitudes will affect intention and behavior accordingly (Lee and Lehto, 2013).”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “Additional belief factors: some factors from a diffusion of innovation literature additionally addressing belief construct have been introduced, such as trialability [1], visibility [47], result demonstrability [68], and content richness [49]; and 3.”
Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2016, background): “In the context of knowledge sharing in the e-learning, Hosseini, Bathaei and Mohammadzadeh (2014) reported Self-Efficacy to be an important factor in influencing knowledge sharing in e-learning systems.”