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Kim, Minjeong; Lee, Eunchul – Educational Technology & Society, 2012
This study proposes and verifies the performance of an analysis tool for visualizing online interactions. A review of the most widely used methods for analyzing online interactions, including quantitative analysis, content analysis, and social network analysis methods, indicates these analysis methods have some limitations resulting from their…
Descriptors: Foreign Countries, Computer Uses in Education, Interaction, Content Analysis
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Lan, Yu-Feng; Lin, Pin-Chuan; Hung, Chun-Ling – Journal of Educational Computing Research, 2012
Although previous research has demonstrated learning benefits for both instructors and students in the web-based collaborative learning environments, one of them major difficulties is the lack of a practical approach to assist teachers in evaluating the knowledge contribution of learners. A novel method of merging multi-modes of assessment and…
Descriptors: Foreign Countries, Programming, Databases, Web Sites
Ben-Naim, Dror; Bain, Michael; Marcus, Nadine – International Working Group on Educational Data Mining, 2009
It has been recognized that in order to drive Intelligent Tutoring Systems (ITSs) into mainstream use by the teaching community, it is essential to support teachers through the entire ITS process: Design, Development, Deployment, Reflection and Adaptation. Although research has been done on supporting teachers through design to deployment of ITSs,…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Managed Instruction
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Payette, Dennis L.; Gupta, Rakesh – American Journal of Business Education, 2009
Colleges and universities have increasingly invested in specialized software and hardware designed to enhance and facilitate the instructional process for faculty and students. One type of technological assistance is commonly known as course management software (CMS). Once learned, these CMS packages can greatly enhance and enrich the classroom…
Descriptors: Teacher Attitudes, Student Attitudes, Database Management Systems, Educational Technology
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)
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Debuse, J.; Lawley, M.; Shibl, R. – Journal of Information Systems Education, 2007
Providing detailed, constructive and helpful feedback is an important contribution to effective student learning. Quality assurance is also required to ensure consistency across all students and reduce error rates. However, with increasing workloads and student numbers these goals are becoming more difficult to achieve. An automated feedback…
Descriptors: Feedback (Response), Assignments, Quality Control, Student Attitudes
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