Now showing items 1-6 of 6
A data mining approach to guide students through the enrollment process based on academic performance
Student academic performance at universities is crucial for education management systems. Many actions and decisions are made based on it, specifically the enrollment process. During enrollment, students have to decide ...
A Case Study: Data Mining Applied to Student Enrollment
(Educational Data Mining, 2010)
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context, this paper presents a recommender system ...
Recommendation in higher education using data mining techniques
(Universidad de Cordoba, 2009)
One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). ...
ASquare: A powerful evaluation tool for adaptive hypermedia course system
Currently many methods and tools are being developed to support e-Learning courses. On the one hand, they are used to help students. On the other, a few applications are being developed to help course designers and ...
Improving AEH courses through log analysis
(Technische Universität Graz, 2008)
Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need specific methods and tools for supporting ...
A problem-oriented method for supporting AEH authors through data mining
(Universidad Técnica de Aachen, 2007)
One of the main problems with Adaptive Educational Hypermedia Systems (AEHS) is that is very difficult to test whether adaptation decisions are beneficial for all the students or some of them would benefit from a different ...