CurriM : Curriculum mining

M. Pechenizkiy, N. Trcka, P.M.E. De Bra, Pedro A. Toledo

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)
1 Downloads (Pure)

Abstract

Curriculum mining includes three main kinds of tasks: (i) actual curriculum model discovery, i.e. constructing complete and compact academic curriculum models that are able to reproduce the observed behavior of students, (ii) curriculum model conformance checking, i.e. checking whether the observed behavior of students match their expected behavior as defined by the previously discovered or pre-authored curriculum model, and (iii) curriculum model extension, i.e. projecting information extracted from the observed data onto the model, to make the tacit knowledge explicit, facilitate better understanding of the particular academic processes and enable decision making processes. We discuss student and education responsible perspectives on curriculum mining and present the achievements of the ongoing project aiming to develop curriculum mining software including process mining, data mining and visualization techniques.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Educational Data Mining, EDM 2012 2012
EditorsKalina Yacef, Osmar R. Zaiane, Arnong Hershkovitz, Michael Yudelson
PublisherInternational Educational Data Mining Society (IEDMS)
Pages216-217
ISBN (Electronic)9781742102764
Publication statusPublished - 2012
Event5th International Conference on Educational Data Mining, EDM 2012 - Chania, Greece
Duration: 19 Jun 201221 Jun 2012

Conference

Conference5th International Conference on Educational Data Mining, EDM 2012
CountryGreece
CityChania
Period19/06/1221/06/12
Other5th International Conference on Educational Data Mining

Fingerprint

Dive into the research topics of 'CurriM : Curriculum mining'. Together they form a unique fingerprint.

Cite this