Jan Papousek

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We propose a modular approach to development of a computerized adaptive practice system for learning of facts in areas with widely varying prior knowledge: decomposing the system into estimation of prior knowledge, estimation of current knowledge, and selection of questions. We describe specific realization of the system for geography learning and use data(More)
Student modeling techniques are evaluated mostly using historical data. Researchers typically do not pay attention to details of the origin of the used data sets. However, the way data are collected can have important impact on evaluation and interpretation of student models. We discuss in detail two ways how data collection in educational systems can(More)
In this work we try to connect research on student modeling and student motivation, particularly on the relation between task difficulty and engagement. We perform experiments within widely used adaptive practice system for geography learning. The results document the impact of the choice of a question construction algorithm and target difficulty on student(More)
Computerized educational systems are increasingly provided as open online services which provide adaptive personalized learning experience. To fully exploit potential of such systems, it is necessary to thoroughly evaluate different design choices. However, both openness and adaptivity make proper evaluation difficult. We provide a detailed report on(More)
Research in student modeling often leads to only small improvements in predictive accuracy of models. The importance of such improvements is often hard to assess and has been a frequent subject of discussions in student modeling community. In this work we use simulated students to study the role of small differences in predictive accuracy. We study the(More)
We investigate applications of learner modeling in a computerized adaptive system for practicing factual knowledge. We focus on areas where learners have widely varying degrees of prior knowledge. We propose a modular approach to the development of such adaptive practice systems: dissecting the system design into an estimation of prior knowledge, an(More)
Online educational systems can easily measure both answers and response times. Student modeling, however, typically focuses only on correctness of answers. In this work we analyze response times from a widely used system for adaptive practice of geography facts. Our results show that response times have simple relationship with the probability of answering(More)
Personalized educational systems are able to provide learners questions of specified difficulty. Since learners differ, the appropriate level of difficulty may vary and it may be impossible to find an universal setting. We implemented a version of an adaptive educational system for geography practice that allows learners to adjust difficulty of questions.(More)
Postmortem and bioptic material from the 1953-1976 period included 7 cases of oncocytic renal adenoma larger than 5 cm including 3 larger than 10 cm. Macroscopic characteristics included red-brownish coloration and extensive foci of central hyalinosis. Microscopy showed them as being made up of cells resembling oncocytes with relatively active nuclei with(More)