The influence of system characteristics on e-learning use
By Keenan A. Pituch, Yao-kuei Lee. Comput. Educ., 2006
1,014 citations recorded by the source corpus.
Subfields: Communication, Education, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/e55da95e3e9417a3f619ce577d3c812d024ccf3b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Rupert R. Ward
- Fazil Abdullah
- Yung-Ming Cheng
- Chun-Chieh Wang
- Wei-Tsong Wang
- R. Law
- Ainin Sulaiman
- M. Heričko
In Education
- Yung-Ming Cheng
- Timothy Teo
- Chwee Beng Lee
- Rupert R. Ward
- Fazil Abdullah
- Chun-Chieh Wang
- Wei-Tsong Wang
- Ching Sing Chai
In Information Systems and Management
- Yung-Ming Cheng
- Rupert R. Ward
- Fazil Abdullah
- Timothy Teo
- Ejaz Ahmed
- Chun-Chieh Wang
- Wei-Tsong Wang
- Yi-Hsuan Lee
Citations in the corpus
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “Examples of these factors include computer use experience (Yang, 2005; Zain, Rose, Abdullah, & Masrom, 2005), computer self-efficacy (Hu et al., 2003; Ong & Lai, 2006; Pituch & Lee, 2004), job relevance (Hu et al., 2003), and innovativeness (Lu, Yao, & Yu, 2005).”
- Measuring Online Learning Systems Success: Applying the Updated DeLone and McLean Model (2007, neutral): “8 Thus, a need exists to investigate the determinants of success for OLS to assist academic institutions and course designers in developing systems that increase the likelihood of meeting educational goals.”
- The influence of learning value on learning management system use (2016, background): “However, the investment of ample resources is not beneficial if students do not use the system (Pituch and Lee, 2006).”
- Antecedents and consequences of e‐learning acceptance (2011, methodology): “…self-efficacy (CSE) (e.g. Ong et al ., 2004; Lee, 2006; Ong & Lai, 2006; Pituch & Lee, 2006; Roca et al ., 2006), internet self-efficacy (ISE) (e.g. Pituch & Lee, 2006; Roca et al ., 2006), cognitive absorption (CAB) (e.g. Saadé & Bahli, 2005; Roca et al ., 2006) and learning goal orientation…”
- What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction (2008, background): “…as course websites and file transmitting software, the more positive their attitudes are toward e-Learning, consequently improving their learning experiences and satisfaction, and increasing their chances for using e-Learning in the future (Arbaugh, 2002; Arbaugh & Duray, 2002; Pituch & Lee, 2006).”
- Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community (2010, background): “Rovai (2002) observed that, in an online learning community, all members expect that their learning needs will be satisfied by pursuing a common learning goal.”
- Investigating the determinants and age and gender differences in the acceptance of mobile learning (2009, neutral): “While e-learning and mobile commerce/learning has received extensive attention (Concannon, Flynn & Campbell, 2005; Davies & Graff, 2005; Govindasamy, 2002; Harun, 2002; Ismail, 2002; Luarn & Lin, 2005; Mwanza & Engeström, 2005; Motiwalla, 2007; Pituch & Lee, 2006; Selim, 2007; Shee & Wang, in”
- Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016, result): “This finding is inconsistent with some previous studies (such as: Lee et al ., 2013; Martin, 2012; Purnomo & Lee, 2013; Rezaei et al ., 2008) and consistent with a number of previous studies (such as: Abbad et al ., 2009; Lau & Woods, 2008; Lee et al ., 2011; Pituch & Lee, 2006).”
- Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems (2011, background): “Therefore, if learners fail to use-learning systems, the benefits of such systems will not be achievable (Pituch & Lee, 2006; McFarland & Hamilton, 2006).”
- The role of perceived user-interface design in continued usage intention of self-paced e-learning tools (2009, background): “As stated by Pituch and Lee (2006), perceived functionality (PF) is the perceived ability of a self-paced e-learning system to provide flexible access to instructional and assessment media such as course contents, homework assignments, and online tests and quizzes.”
- A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context (2010, neutral): “T. Teo D o w n l o a d e d by [ M i c h i g a n S t a t e U n i v e r s it y ] a t 16 : 59 21 J a nu a r y 2015 Legris et al. 2003; Pituch & Lee, 2006).”