The TAO framework is an open-source project which provides a very general and open architecture for computer-assisted test development and delivery. As upcoming evaluation needs will imply the collaboration among a large number of stakeholders situated at different institutional levels and with very different needs for assessment tools, the TAO framework has the ambition to provide a modular and versatile framework for collaborative distributed test development and delivery with the potential to be extended and adapted to virtually every evaluation purpose that could be handled by the means of computer-based assessment.
Hier wird in Einzelschritten die Evaluation von Webseiten nach formalen Kriterien wie Verfasserschaft, Inhalt, Relevanz, etc. deren Überprüfbarkeit und Seriosität vorgestellt.
Increase your social capital, your reputation value, and engage in online reputation management. iKarma is an open system where comments and feedback can be posted by clients and consumers about businesses, services, and professional practices. Rate a b
Der Deutsche Bildungsserver ist ein von Bund und Ländern getragenes Informationsportal, das Informationen zum Thema Bildung im Internet bereitstellt. Als zusätzlichen Service
ROUGE 2.0 is a Java Package for Evaluation of Summarization Tasks building on the Perl Implementation of ROUGE with some updated and improved measures.
Dr. Marzano, a nationally known educational researcher and developer of the Marzano Teacher Evaluation Model and the Marzano School Leadership Evaluation Model, discusses how districts may use teacher evaluation models as primarily either measurement systems –which provide a static picture of a teacher’s performance at a given point; or as growth systems—which track improvements in teacher pedagogy over time. - See more at: http://www.marzanoevaluation.com/news/teacher-evaluation-whats-fair-whats-effective/#sthash.KaHjK1uL.dpuf
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction.
Now that the “the only constant is change” in society, our capacity to engage with novel challenges is of first order importance. What are the personal dispositions that authentic learning needs to cultivate, and can we make these assessable and visible to learners and educators?