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Direct linkKarvounidis, T.; Chimos, K.; Bersimis, S.; Douligeris, C. – Journal of Computer Assisted Learning, 2014
In this work, Web 2.0 technologies in higher education are evaluated using students' perceptions, satisfaction, performance and behaviour. The study evaluates the Web 2.0 tools as stand-alone entities as well in terms of their cross-operability and integration (confluence) to synergistic contributions towards the enhancement of student…
Descriptors: Web 2.0 Technologies, Computer Software Evaluation, Higher Education, 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
Wee, Mee-Chin; Abrizah, A.; Por, Lip Yee – Journal of Educational Computing Research, 2012
A CMI-based online forum is designed to address the need for a system to manage students' online participation. The proposed system may reduce the time required to manage online participation. The system was evaluated by a total of 64 students enrolled in an academic semester. The evaluation has two objectives. The first was to determine the…
Descriptors: Foreign Countries, Discussion, Computer Software Evaluation, Computer Software
Freeze, Ronald D.; Alshare, Khaled A.; Lane, Peggy L.; Wen, H. Joseph – Journal of Information Systems Education, 2010
This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality (SQ) and information quality (IQ) influence system use and user satisfaction, which in turn impact system success. A structural equation model (SEM), using LISREL, was used to test the…
Descriptors: Student Attitudes, User Satisfaction (Information), Structural Equation Models, Information Systems
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Yang, Yu-Fen; Wong, Wing-Kwong; Yeh, Hui-Chin – Educational Technology & Society, 2008
The major purpose of this study is to assist college students in constructing mental representation of referential resolution in a computer system. Ninety students were asked to draw mental maps indicating the relationships between references, take reading comprehension tests, and fill out open-ended questionnaire. Results showed that the…
Descriptors: Correlation, Reading Processes, Feedback (Response), Reading Comprehension
