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.
|Titel||Proceedings of the 5th International Conference on Educational Data Mining, EDM 2012 2012|
|Redacteuren||Kalina Yacef, Osmar R. Zaiane, Arnong Hershkovitz, Michael Yudelson|
|Uitgeverij||International Educational Data Mining Society (IEDMS)|
|ISBN van elektronische versie||9781742102764|
|Status||Gepubliceerd - 2012|
|Evenement||5th International Conference on Educational Data Mining, EDM 2012 - Chania, Griekenland|
Duur: 19 jun 2012 → 21 jun 2012
|Congres||5th International Conference on Educational Data Mining, EDM 2012|
|Periode||19/06/12 → 21/06/12|
|Ander||5th International Conference on Educational Data Mining|
Bibliografische notaEditor(s): Yacef, K.; Zaïane, O.R.; Hershkovitz, A.; Yudelson, M.; Stamper, J.C.
Proceedings of the 5th International Conference on Educational Data Mining (Chania, Greece, June 19-21, 2012)