Assessment of learner satisfaction with asynchronous electronic learning systems
By Yi-Shun Wang. Information Manager (The), 2003
814 citations recorded by the source corpus.
Subfields: Education, Information Systems and Management, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/260088820a438bac6734b372cb4e348b65498974
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Hsiu-Mei Huang
- Shu-Sheng Liaw
- Luvai F. Motiwalla
- Daniel Y. Shee
- Anastasios A. Economides
- Hsiu-Yuan Wang
- Gwo-Hshiung Tzeng
- Chung-Wei Li
In Information Systems and Management
- Anastasios A. Economides
- Gwo-Hshiung Tzeng
- Hsiu-Mei Huang
- Shu-Sheng Liaw
- Luvai F. Motiwalla
- Daniel Y. Shee
- Chung-Wei Li
- Hsiu-Yuan Wang
In Organizational Behavior and Human Resource Management
- Luvai F. Motiwalla
- Daniel Y. Shee
- Shu-Sheng Liaw
- Hsiu-Mei Huang
- Hsiu-Yuan Wang
- Gwo-Hshiung Tzeng
- Chung-Wei Li
- Soung Hie Kim
Citations in the corpus
- Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications (2008, methodology): “Based on the scales of student's evaluation of teaching effectiveness and user satisfaction, Wang (2003) conducted an exploratory study directed at e-learners.”
- Surveying instructor and learner attitudes toward e-learning (2007, background): “The measurement of e-learning must incorporate different aspects of user perceptions to form a useful diagnostic instrument (Wang, 2003).”
- Investigating the determinants and age and gender differences in the acceptance of mobile learning (2009, background): “press; Ravenscroft & Matheson, 2002; Wang, 2003), thus far, little research has been conducted to investigate the factors affecting users' intentions to adopt m-learning, and to explore the age and gender differences in terms of the acceptance of m-learning.”
- Exploring teacher acceptance of e‐learning technology (2008, background): “Nearly 95% of higher education institutions utilise some kind of electronic learning (e-learning) (Pollack, 2003 and some researchers even argue that e-learning is one of the most significant recent developments in the information system industry (Wang, 2003).”
- Viability of the "Technology Acceptance Model" in Multimedia Learning Environments: A Comparative Study (2007, background): “At the same time, studies done on MMLSs have mainly focused on determining how to use internet-based tools/objects to support instruction, to assess user satisfaction (Wang, 2003), and to characterize the internet-based learning student (Kim & Schniederjans, 2004; Lu, Yu, & Liu, 2003).”
- The acceptance and use of computer based assessment (2011, background): “In addition, many researchers developed causal models to explain a learner’s satisfaction (e.g. Sun, Tsai, Finger, Chen, & Yeh, 2008; Wang, 2003).”
- Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments (2013, methodology): “As the use of e-learning has increased, so has research into those factors affecting learners’ attitudes toward e-learning (Lee, Tseng, Liu, & Liu, 2007; Wang, 2003).”
- ERP training with a web-based electronic learning system: The flow theory perspective (2007, methodology): “Keywords: E-learning; Flow theory; End-user training; ERP”
- Measuring e-learning systems success in an organizational context: Scale development and validation (2007, methodology): “[49][54][57][58][60][61] obtained 46 items representing the six dimensions underlying the ELSS construct, and these were used to form the initial pool of items for the ELSS scale.”
- Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success (2008, background): “The satisfaction–reuse linkage is also consistent with prior work on user behaviour in the field of MIS (e.g. Wang, 2003a; Lin & Wang, 2006).”
- Online instruction, e-learning, and student satisfaction: A three year study (2014, background): “Of these, student retention in online programs is particularly relevant to the discussion of student satisfaction with their online experience.”
- Evaluating E-learning systems success: An empirical study (2020, background): “…e-learning success factors to maximize the effectiveness of these systems (e.g., Ali & Ahmad, 2011; Fathema, Shannon, & Ross, 2015; Islam, 2013; B. C. Lee, Yoon, & Lee, 2009; J. K. Lee & Lee, 2008; M. C. Lee, 2010; Mohammadi, 2015; Mtebe & Raphael, 2018; Park, 2009; Wahab, 2008; Wang, 2003)).”