Surveying instructor and learner attitudes toward e-learning

By Shu-Sheng Liaw, Hsiu-Mei Huang, Gwo-Dong Chen. Comput. Educ., 2007

890 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/84dfc83daccd974e41d250f9f45b861e089a30b0

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Citations in the corpus

Evaluating E-learning systems success: An empirical study (2020, background): “However, as the technology becomes increasingly reliable and accessible, recent research has focused more on students’ and instructors’ attitudes and interactions, which play a vital role in e-learning success (Cheng, 2011; Liaw et al., 2007; Selim, 2007).”
Learners' acceptance of e-learning in South Korea: Theories and results (2009, background): “Perceived usefulness and self-efficacy were shown to influence behavioral intention to use e-learning (Liaw et al., 2007).”
A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, background): “Study Sample size User type E-learning technology type Theory Brown (2002) 73 Students E-learning System (WebCT) TAM Lee, Cho, Gay, and Davidson (2003) 31 Students E-learning Technology/Tool (Web Based Collaboration in Virtual Learning Environment) TAM Yi and Hwang (2003) 109 Students E-learning Sys”
Jordanian University Students’ Views on Emergency Online Learning During COVID-19 (2021, methodology): “Questionnaire Validity and Reliability Before developing the questionnaire, the researchers examined different questionnaires designed for similar purposes (see Bolliger & Martin, 2018; Ahmad S Haider & Saleh Al-Salman, 2020; Liaw et al., 2007; Roach & Lemasters, 2006).”
Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator (2020, background): “…language learning environment, learners’ perception and acceptance of emerging technologies are important factors that affect their effective learning (McLoughlin and Lee, 2010; Huang and Liaw, 2018) and also one of the core factors that affect self-directed learning (Liaw et al., 2007).”
Investigating learners' attitudes toward virtual reality learning environments: Based on a constructivist approach (2010, methodology): “The questionnaire was initially drafted by referencing survey questions used in published literature (e.g., Lai et al., 2009; Liaw et al., 2007) that served as the basis of the conceptual model in this research.”
Motivation and learning in an online, unmoderated, mathematics workshop for teachers (2011, background): “For example, participants’ feelings of self-efficacy have been linked to their satisfaction working online (Hsu and Huang 2006; Liaw et al. 2007 ) and their abilities to monitor their developing understanding (Moos and Azevedo 2008).”
Online learning performance and satisfaction: do perceptions and readiness matter? (2020, background): “For example, Liaw et al. (2007) reported that college students ’ perceptions of the online learning environment included four dimensions: e-learning as a self-paced learning environment, e-learning as an e ﬀ ective learning environment, e-learning as a multimedia instruction environment, and…”
E-learning success determinants: Brazilian empirical study (2017, neutral): “Research shows that attitude of students and instructors toward e-learning can determine success (Liaw, Huang, & Chen, 2007).”