The role of perceived user-interface design in continued usage intention of self-paced e-learning tools

By Vincent Cho, T. C. Edwin Cheng, W. Lai. Comput. Educ., 2009

361 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ac088baf7fdb95d09903b19525a143f09680235c

How researchers see this paper

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

In Communication

1. Mostafa Al-Emran
2. Ahmad Qasim Mohammad Alhamad
3. Younghoon Chang
4. Azza R Abdel Monem
5. Rupert R. Ward
6. Fazil Abdullah
7. Said A. Salloum
8. Khaled Shaalan

In Information Systems and Management

1. Mostafa Al-Emran
2. Rupert R. Ward
3. Fazil Abdullah
4. Said A. Salloum
5. Ahmad Qasim Mohammad Alhamad
6. Younghoon Chang
7. Azza R Abdel Monem
8. Siew Fan Wong

In Sociology and Political Science

1. Mostafa Al-Emran
2. Said A. Salloum
3. Rupert R. Ward
4. Fazil Abdullah
5. Younghoon Chang
6. Siew Fan Wong
7. Apollos Patricks Oghuma
8. Christian Fernando Libaque Saenz

Citations in the corpus

• Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019, background): “3) INFORMATION QUALITY (IQ) Information quality (IQ) refers to “using e-learning for seeking information that may be important for learning and which is updated, so as to make it easier for the learner to comprehend it” [41], [42].”
• An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “Furthermore, ease of use has cognitive and physical limitations due to the speed of technology development (Cho et al., 2009; Kumar et al., 2004).”
• A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, neutral): “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”
• Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2016, methodology): “(2008) E-learning system Students 120 NO NR NS Chow et al. (2012) E-learning System Students 206 YES 0.260 p < 0.001 Yuen and Ma (2008) E-learning system (Interactive Learning Network) Students 152 YES 0.300 2.87 p < 0.01 Lin et al. (2010) E-learning system (multimedia e-learning system) Students 21”