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A data mining approach to guide students through the enrollment process based on academic performance
(Springer, 2011)
Acceso abierto
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)
Acceso abierto
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)
Acceso abierto
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). ...
Improving AEH courses through log analysis
(Technische Universität Graz, 2008)
Acceso abierto
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 ...
ASquare: A powerful evaluation tool for adaptive hypermedia course system
(ACM, 2008)
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 ...
A problem-oriented method for supporting AEH authors through data mining
(Universidad Técnica de Aachen, 2007)
Acceso abierto
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 ...