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Direct linkAbdous, M'hammed; He, Wu; Yen, Cherng-Jyh – Educational Technology & Society, 2012
As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students' learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped…
Descriptors: Electronic Learning, Online Courses, Video Technology, Synchronous Communication
Download full textSmith, 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
Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
Malikowski, Steven R. – Internet and Higher Education, 2008
A unique resource in course management systems (CMSs) is that they offer faculty members convenient access to a variety of integrated features. Some features allow faculty members to provide information to students, and others allow students to interact with each other or a computer. This diverse set of features can be used to help meet the…
Descriptors: Computer Managed Instruction, Integrated Learning Systems, Use Studies, College Faculty
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)
Mills, Steven C.; Ragan, Tillman R. – 1998
This paper describes the development, validation, and research application of the Computer-Delivered Instruction Configuration Matrix (CDICM), an instrument for evaluating the implementation of Integrated Learning Systems (ILS). The CDICM consists of a 15-item checklist, describing the major components of implementation of ILS technology, to be…
Descriptors: Check Lists, Computer Assisted Instruction, Computer Managed Instruction, Courseware
