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http://hdl.handle.net/10609/12322
Title: Wikis in Teaching: An Experiment with WikiHaskell and StatMediaWiki
Author: Palomo Duarte, Manuel
Medina Bulo, Inmaculada
Rodríguez Posada, Emilio José
Palomo Lozano, Francisco
Keywords: computer-assisted collaborative learning;wikis;e-learning assessment;open-source software;aprendizaje colaborativo asistido por computador;wikis;medición en aprendizaje electrónico;software libre;aprenentatge col·laboratiu assistit per ordinador;wikis;mesura en aprenentatge electrònic;software lliure
Issue Date: 15-Jan-2012
Publisher: Universitat Oberta de Catalunya
Citation: Palomo Duarte, Manuel; Medina Bulo, Inmaculada; Rodríguez Posada, Emilio José; Palomo Lozano, Francisco (2012). "Wikis in Teaching: An Experiment with WikiHaskell and StatMediaWiki". RUSC. Revista de Universidad y Sociedad del Conocimiento, 2012, Vol. 9, num 1.
Abstract: This article presents WikiHaskell, a project based on wiki technologies developed on the Computer Engineering degree course at the University of Cadiz. WikiHaskell is a wiki for which students, organised into groups of three, create complementary materials on Haskell programming language libraries. The main objective of this project is to introduce open knowledge creation into the classroom, thus turning the students into the true protagonists of the course subject. To assess the wiki and, therefore, the work done by the students, StatMediaWiki was developed. This is a statistical analysis system for MediaWiki wikis that allows such assessments to be performed both easily and transparently. StatMediaWiki generates an overall report of the wiki and individual analyses of the work done by user, by page and by category. In the experiment described, StatMediaWiki's analysis of the time distribution of the students' contributions allowed a range of user profiles to be identified. Likewise, by-category analysis allowed certain situations within a group to be detected, such as the identification of the lead students or the less active ones. Both the wiki content and the StatMediaWiki code are open source and publicly accessible.
Description: Peer reviewed
Language: English
URI: http://hdl.handle.net/10609/12322
ISSN: 1698-580X
Appears in Collections:2012, vol. 9, n. 1

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