Background: Team-based learning (TBL) is a structured type of cooperative learning that has growing application in medical education. This study compares levels of student learning and teaching satisfaction for a neurology course between conventional lecture and team-based learning. Methods: The study incorporated 70 students aged 19 to 22 years at the school of rehabilitation. One half ...

newell's learning stages model is a learning model based on dynamic systems theory which is divided to three stages based on the relationship among learners' degree of freedom. the aim of this study was to investigate the effect of attention focus of instruction on learning a simple skill (throwing darts) and a complex skill (non-dominant foot chip shot). thestudyconsistedoftwoexperim...

today, a correct understanding and skills necessary to reform affairs as well as a culture based on knowledge and continuous learning in the organizations are important elements in the management of sports organizations. so the present study aimed to investigate the relationship between triple management skills (conceptual, humanistic, technical) and organizational learning in managers of physi...

conclusions considering the level of learning motivation among the students in aspects of self-efficacy conception, self-management, and communication abilities, it is recommended to provide programs to develop these characteristics by cooperative learning method based on social constructivism theory. patients and methods this descriptive cross-sectional study was conducted on the rehabilitatio...

A large portion of the research in machine learning has involved a paradigm of comparing many examples and analyzing them in terms of similarities and differences, assuming that the resulting generalizations will have applicability to new examples. While such research has been very successful, it is by no means obvious why similarity-based generalizations should be useful, since they may simply...

We give an overview of a new set of learningbased algorithms for fast and robust motion planning with noisy sensor data. These include improved search in configuration spaces using instance-based learning, and robust proximity queries in configuration spaces with noisy data. We demonstrate the performance of these new proximity and planning algorithms on the PR2 robot with noisy point-cloud data.

Disciple is a shell for developing intelligent agents where an expert teaches the agent how to perform domain-specific tasks in a way that resembles the way the expert would teach an apprentice. This paper discusses the application of Disciple to the development of educational agents that generate test questions for students, together with hints, answers and explanations, and assist in the asse...