Model based learning uses models in order to generate educational resources and adapt learning paths to learners and their context. Many domain models are published on the Web through linked data, thus providing a collective knowledge base that can be reused in the educational domain. However, for these models to be usable in an educational context, it should be possible to predict the learning...

A standard correction for random guessing (cfg) formula on multiple-choice and Yes/Noexaminations was examined retrospectively in the scores of the intermediate female EFL learners in an English language school. The correctionwas a weighting formula for points awarded for correct answers,incorrect answers, and unanswered questions so that the expectedvalue of the increase in test score due to g...

For complex educational assessments, there is an increasing use of item families, which are groups of related items. However, calibration or scoring for such an assessment requires fitting models that take into account the dependence structure inherent among the items that belong to the same item family. Glas and van der Linden (2001) suggest a Bayesian hierarchical model to analyze data involv...

Animals typically must make a number of successive choices to achieve a goal: e.g., eating multiple food items before becoming satiated. However, it is unclear whether choosing the best first or saving the best for last represents the best choice strategy to maximize overall reward. Specifically, since outcomes can be evaluated prospectively (with future rewards discounted and more immediate re...

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