Jan Papousek

Learn More
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)
In this work we try to connect research on student model-ing 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(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)
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)
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)
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)
Preface This workshop, a follow-up to the successful first Simulated Learners workshop held at AIED 2013, is intended to bring together researchers who are interested in simulated learners, whatever their role in the design, development, deployment, or evaluation of learning systems. Its novel aspect is that it isn't simply a workshop about pedagog-ical(More)