An empirical investigation of student acceptance of course websites
By Hassan M. Selim. Comput. Educ., 2003
476 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems and Management, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/0e1e04da31e6a74d5bc20f34ecc9fe2868c2bf0d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hsiao-Fen Tseng
- Ra'ed Masa'deh
- Said S. Al-gahtani
- Dimah Al-Fraihat
- William R. King
- Martin Mulder
- Jane E. Sinclair
- In Lee
In Information Systems and Management
- Yung-Ming Cheng
- Sung Youl Park
- William R. King
- Jun He
- Martin Valcke
- Jeroen Bourgonjon
- Tammy Schellens
- Ronald Soetaert
In Organizational Behavior and Human Resource Management
- Hsiao-Fen Tseng
- Ra'ed Masa'deh
- Said S. Al-gahtani
- Dimah Al-Fraihat
- William R. King
- Martin Mulder
- Jane E. Sinclair
- In Lee
Citations in the corpus
- Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning (2013, background): “…have used both the original and extended version of TAM to explore students' acceptance of virtual learning environments (Arteaga Sánchez & Duarte Hueros, 2010; Limayem & Cheung, 2011; Ngai, Poon, & Chan, 2007; Ong, Lay, & Wang, 2004; Saade & Bahli, 2005; Selim, 2003, 2007; Venkatesh et al., 2003).”
- An empirical investigation into factors influencing the adoption of an e-learning system (2006, methodology): “For example, Selim (2002) and Babenko-Mould et al. (2004) tested the two TAM constructs of “perceived usefulness” and “perceived ease-of-use” as predictors of user acceptance of course Websites, with the results indicating a good fit for the TAM.”
- Student Engagement in Campus-Based and Online Education: University Connections (2006, background): “Most studies of the student experience only focus on a particular aspect, such as email use (Gatz and Hirt, 2000), website navigation (Selim, 2003), computer literacy and preparedness (Stokes, 2000; Kaminski et al.”
- Determining factors of the use of e-learning environments by university teachers (2008, methodology): “Selim (2003) studied the effect of usefulness and ease of use of a course website on students' course website use (see Fig.”
- Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community (2010, unknown): “…& Chen, 2005; Liaw, in press; Ngai, Poon, & Chan, 2007; Ong, Lai, & Wang, 2004; Pan, Gunter, Sivo, & Cornell, 2005; Pituch & Lee, 2006; Raaij & Schepers, in press; Yi & Hwang, 2003) or online courses (Arbaugh, 2002; Arbaugh & Duray, 2002; Gao, 2005; Landry, Griffeth, & Hartman, 2006; Selim, 2003).”
- E-learning success determinants: Brazilian empirical study (2017, unknown): “Selim (2003) found that the ease of use of web courses is the main determinant of acceptance as an effective and efficient technology for learning.”
- Evaluating E-learning systems success: An empirical study (2020, background): “To clarify, the model developed by Sun et al. (2008) researched the relationship between the instructor dimension, using two indicators (instructor response timeliness, instructor attitude toward e-learning), and satisfaction, and found it positively significant.”
- The influence of system characteristics on e-learning use (2006, background): “Given these advantages, it is not surprising that business and educational institutions are making substantial investments in e-learning systems. For example, in 2000, investment in the e-learning market in the United States was $2.2 billion according to a report from the International Data Corporat”
- An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning (2009, background): “Selim (2003) stated that there was a need to investigate TAM with web-based learning.”
- Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. (2012, methodology): “After its original exposition, the TAM was at the center of a substantial body of empirical research and exploration and has been widely used for predicting the acceptance, adoption, and use of information technology (Adams, Nelson, & Todd, 1992; Selim, 2003; Szajna, 1996).”
- Understanding the Role and Methods of Meta-Analysis in IS Research (2005, background): “He Selim, 2003], marketing [e.g.,Keen et al., 2004], operations management [e.g., Olson et al., 2003], and many other management fields [King and He, 2005].”
- Learners' acceptance of e-learning in South Korea: Theories and results (2009, methodology): “The two TAM constructs (perceived usefulness and ease of use) were applied to assess university students’ acceptance of course websites as an effective learning tool (Selim, 2003).”