Abstract
Computer-Supported Collaborative Learning based on wikis offers new ways of collaboration and encourages participation. When the number of contributions from students increases, traditional assessment procedures of e-learning settings suffer from scalability problems. In a wiki-based learning experience, some automatic tools are required to support the assessment of such great amounts of data. We have studied readily available analysis tools for the MediaWiki platform, that have complementary input, work modes and output. We comment our experience in two Higher Education courses, one using HistoryFlow and another using StatMediaWiki, and discuss the advantages and drawbacks of each system.
Published Version
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