Adaptive Competence Testing in eLearning

نویسندگان

  • Gisela Dösinger
  • Dietrich Albert
چکیده

This article focuses on the adaptive assessment of pre-knowledge in the context of individualised eLearning. A deterministic algorithm [3] is introduced which allows for a significant reduction of to be presented problems for diagnosing pre-knowledge. Since the competence-performance approach [12] , [13] , [14] is used for building the framework for adaptive testing, not only can it efficiently be assessed which problems a learner is able to master, but also which knowledge, abilities, and skills are available. Such an adaptive competence assessment is of importance when learning units for individualised instruction have to be chosen by a learning program. The algorithm, the competence-performance approach, and a practical example, next to a foresight concerning the planning of testing procedures are introduced in this article.

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تاریخ انتشار 2010