Web mining usage in course development

Imre J. Rudas, Péter Tóth

Research output: Contribution to conferencePaper

Abstract

The primary object of the investigation was to discover by methods of web mining the most important parameters of the learning activity during the completion of virtual courses. Instead of the classic form of electronic distant learning, a combination of traditional classroom work and online or offline learning methods was used (blended learning). In analysing the learning activity, the examination of students' click-series and the subsequent differentiation of student types and clusters were in the focus of attention. While the former shows what objects students visited in succession and how much time they spent processing them, the latter distinguishes between types of learning strategies. The examinations were performed at two levels, as macro and micro analyses. The former one concentrated on learning objects whereas the latter one focussed on individual web pages and their sequences.

Original languageEnglish
Pages1008-1015
Number of pages8
Publication statusPublished - Jan 1 2011
EventSEFI Annual Conference 2011 - Lisbon, Portugal
Duration: Sep 28 2011Sep 30 2011

Other

OtherSEFI Annual Conference 2011
CountryPortugal
CityLisbon
Period9/28/119/30/11

Keywords

  • Course evaluation and development
  • Macro- and microanalysis
  • Web mining algorithms

ASJC Scopus subject areas

  • Engineering(all)
  • Education

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  • Cite this

    Rudas, I. J., & Tóth, P. (2011). Web mining usage in course development. 1008-1015. Paper presented at SEFI Annual Conference 2011, Lisbon, Portugal.