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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
Alshare, Khaled A.; Freeze, Ronald D.; Lane, Peggy L.; Wen, H. Joseph – Decision Sciences Journal of Innovative Education, 2011
Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model…
Descriptors: College Students, Student Attitudes, Satisfaction, Computer Use
Behrend, Tara S.; Wiebe, Eric N.; London, Jennifer E.; Johnson, Emily C. – Behaviour & Information Technology, 2011
Cloud computing is gaining popularity in higher education settings, but the costs and benefits of this tool have gone largely unexplored. The purpose of this study was to examine the factors that lead to technology adoption in a higher education setting. Specifically, we examined a range of predictors and outcomes relating to the acceptance of a…
Descriptors: Community Colleges, Usability, Rural Areas, Educational Technology
Yen, Nai-Shing; Tsai, Jie-Li; Chen, Pei-Ling; Lin, Hsuan-Yu; Chen, Arbee L. P. – Behaviour & Information Technology, 2011
To investigate the most efficient way to represent text in reading Chinese on computer displays, three typographic variables, character size (41[feet] arc/24 pixels and 60[feet] arc/32 pixels), character spacing (1/4 and 1/8 character width) and font type (Kai and Ming), were manipulated. Results showed that the reading speed for Chinese…
Descriptors: Foreign Countries, Chinese, Reading Rate, Eye Movements
Bedek, Michael; Seitlinger, Paul; Kopeinik, Simone; Albert, Dietrich – Electronic Journal of e-Learning, 2012
Digital educational games (DEGs) possess the potential of providing an appealing and intrinsically motivating learning context. Usually this potential is either taken for granted or examined through questionnaires or interviews in the course of evaluation studies. However, an "adaptive" game would increase the probability of a DEG being…
Descriptors: Foreign Countries, Educational Games, Computer Games, Computer Simulation
de Freitas Guilhermino Trindade, Daniela; Guimaraes, Cayley; Antunes, Diego Roberto; Garcia, Laura Sanchez; Lopes da Silva, Rafaella Aline; Fernandes, Sueli – Behaviour & Information Technology, 2012
This study analysed the role of knowledge management (KM) tools used to cultivate a community of practice (CP) in its knowledge creation (KC), transfer, learning processes. The goal of such observations was to determine requirements that KM tools should address for the specific CP formed by Deaf and non-Deaf members of the CP. The CP studied is a…
Descriptors: Foreign Countries, Communities of Practice, Knowledge Management, Sign Language
Cho, Vincent; Cheng, T. C. Edwin; Lai, W. M. Jennifer – Computers & Education, 2009
While past studies on user-interface design focused on a particular system or application using the experimental approach, we propose a theoretical model to assess the impact of perceived user-interface design (PUID) on continued usage intention (CUI) of self-paced e-learning tools in general. We argue that the impact of PUID is mediated by two…
Descriptors: Intention, Foreign Countries, Use Studies, College Students
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Yusoff, Rasimah Che Mohd; Zaman, Halimah Badioze; Ahmad, Azlina – Australasian Journal of Educational Technology, 2011
This study investigates users' perception and acceptance of mixed reality (MR) technology. Acceptance of new information technologies has been important research area since 1990s. It is important to understand the reasons why people accept information technologies, as this can help to improve design, evaluation and prediction how users will…
Descriptors: Foreign Countries, Intention, Biomedicine, Science Instruction
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
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
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries