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Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
Samuel, Roy David; Kim, Chanmin; Johnson, Tristan E. – Journal of Educational Computing Research, 2011
The transition from classroom instruction to e-learning raises pedagogical challenges for university instructors. A controlled integration of e-learning tools into classroom instruction may offer learners tangible benefits and improved effectiveness. This design-based research (DBR) study engaged students in e-learning activities integrated into…
Descriptors: Student Attitudes, Self Efficacy, Negative Attitudes, Computers
Ertl, Bernhard; Helling, Kathrin – Journal of Educational Computing Research, 2011
This article deals with gender phenomena in the context of digital literacy. Studies show that computer use, computer skills, and computer-related self-concepts are subject to gender differences. These differences may affect classroom interactions as well as learning processes and have therefore to be considered carefully by teachers who apply…
Descriptors: Student Attitudes, Computer Uses in Education, Gender Differences, Sex Fairness
Yu, Fu-Yun – Journal of Educational Computing Research, 2003
Since past studies showing that competition has negative effects on group process were primarily conducted in traditional classrooms involving face-to-face situations, this study extends past research by investigating whether the negative effects associated with face-to-face team competition can be mitigated with the support of networking…
Descriptors: Student Attitudes, Proximity, Educational Strategies, Data Analysis