Improving AEH courses through log analysis

• Autores: Vialardi Sacín, César, Bravo, Javier, Ortigosa, Álvaro
• Formato: artículo
• Fecha de Publicación: 2008
• Institución: Universidad de Lima
• Repositorio: ULIMA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.ulima.edu.pe:20.500.12724/10520
• Enlace del recurso: https://hdl.handle.net/20.500.12724/10520
• Nivel de acceso: acceso abierto
• Materia: Data mining; Hypertext systems; College students; Minería de datos; Sistemas de hipertexto; Estudiantes universitarios; https://purl.org/pe-repo/ocde/ford#5.03.00

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 their work. In that sense, data mining is a promising technology. In fact, data mining techniques have already been used in E-learning systems, but most of the times their application is oriented to provide better support to students; little work has been done for assisting adaptive hypermedia authors through data mining. In this paper we present a proposal for using data mining for improving an adaptive hypermedia system. A tool implementing the proposed approach is also presented, along with examples of how data mining technology can assist teachers