Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model

By Young Ju Joo, K. Lim, Eun Kyung Kim. Comput. Educ., 2011

397 citations recorded by the source corpus.

Subfields: Computer Science Applications, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/1078a269d994dfbd1736872c9de6fe2e125beecd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Sevda Kucuk
2. Jennifer C. Richardson

In Education

1. Sevda Kucuk
2. Jennifer C. Richardson
3. D. Randy Garrison

In Information Systems and Management

1. Sevda Kucuk
2. Jennifer C. Richardson
3. Sajad Rezaei
4. Wan Khairuzzaman Wan Ismail
5. M. Amin

Citations in the corpus

• A structural equation model of predictors of online learners’ engagement and satisfaction (2019, background): “When online courses are designed by maximizing the three CoI presences, interaction, and engagement, the construction of meaningful knowledge and effective learning occur (Garrison & Arbaugh, 2007; Garrison & Cleveland-Innes, 2005; Joo et al., 2011; Meyer, 2014).”
• Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “Joo et al. (2011) found that PU and PEOU are both important predictors of leaner satisfaction in the educational setting.”