Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems

Autor/inn/en	Romero, Cristobal; Ventura, Sebastian; Zafra, Amelia; de Bra, Paul
Titel	Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems
Quelle	In: Computers & Education, 53 (2009) 3, S.828-840 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0360-1315
DOI	10.1016/j.compedu.2009.05.003
Schlagwörter	Architecture; Internet; Computer Assisted Instruction; College Students; Evaluation Methods; Educational Technology; Computer Uses in Education; Computer Software; Experiments; Mathematics; Search Engines + Suchen Sie Ihr Suchwort? Architektur; Computer based training; Computerunterstützter Unterricht; Collegestudent; Unterrichtsmedien; Computernutzung; Erprobung; Mathematik; Suchmaschine
Abstract	Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially. In this paper, we propose an advanced architecture for a personalization system to facilitate Web mining. A specific Web mining tool is developed and a recommender engine is integrated into the AHA! system in order to help the instructor to carry out the whole Web mining process. Our objective is to be able to recommend to a student the most appropriate links/Web pages within the AHA! system to visit next. Several experiments are carried out with real data provided by Eindhoven University of Technology students in order to test both the architecture proposed and the algorithms used. Finally, we have also described the meaning of several recommendations, starting from the rules discovered by the Web mining algorithms. (Contains 4 tables and 9 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10