Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications
By Daniel Y. Shee, Yi-Shun Wang. Comput. Educ., 2008
479 citations recorded by the source corpus.
Subfields: Education, Information Systems and Management, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/d9016df53094730cc3fbd7ec20ca9c0ff2c87625
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
- Sevgi Özkan
- Anastasios A. Economides
- Refika Koseler
- Stavros A. Nikou
- Manuela Paechter
- Vasileios Terzis
In Information Systems and Management
- Hsiu-Mei Huang
- Stavros A. Nikou
- Anastasios A. Economides
- Shu-Sheng Liaw
- Sevgi Özkan
- Refika Koseler
- Vasileios Terzis
- Timothy Teo
In Management Science and Operations Research
Citations in the corpus
- The acceptance and use of computer based assessment (2011, background): “Moreover, Shee and Wang (2008) proposed that System Content variable has great value in learners’ satisfaction.”
- Students' expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction (2010, background): “The quality of the learning environment and the ease of using a learning management system also contribute to the success and course satisfaction of an e-learning course (Chang & Tung, 2008; Shee & Wang, 2008) and performance (Lee & Lee, 2008).”
- Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation (2009, methodology): “Personalization Ssemugabi and De Villiers (2007), Piccoli et al. (2001), Shee and Wang (2008) 45 D11.”
- Mobile-based assessment: Investigating the factors that influence behavioral intention to use (2017, background): “Content has been identified to have a great importance in e-learning and user satisfaction value (Shee & Wang, 2008).”
- Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments (2013, background): “E-learning refers to any kinds of the use of electronic devices for learning purpose, including the delivery of content via electronic media such as computer network, audio (or video tape), satellite broadcast, interactive TV, and so on (Shee & Wang, 2008).”