An Interactive Model to Teach Motor Skills

There has been a tremendous increase in our knowledge of hum motor performance over the last few decades. Our theoretical understanding of how an individual learns to move is sophisticated and complex. It is difficult however to relate much of this information in practical terms to physical educators, coaches, and therapists concerned with the learning of motor skills (Shumway-Cook & Woolcott, 1995). Much of our knowledge stems from lab testing which often appears to bear little relation to real-life situations. This lack of ecological validity has slowed the flow of information from the theorists and researchers to the practitioners. This paper is concerned with taking some small aspects of motor learning theory, unifying them, and presenting them in a usable fashion. The intention is not to present a recipe for teaching motor skills, but to present a framework from which solutions can be found. If motor performance research has taught us anything, it is that every individual and situation presents unique challenges. By increasing our ability to conceptualize the learning situation we should be able to develop more flexible and adaptive responses to the challege of teaching motor skills. The model presented here allows a teacher, coach, or therapist to use readily available observations and known characteristics about a motor task and to conceptualize them in a manner which allows them to make appropriate teaching/learning decisions.

Systematic Observation of Youth Ice Hockey Coaches During Games

The behaviors of youth ice hockey coaches during games are examined using the Coaches Observation System for Games. This tool identifies 16 types of coach behaviors and eight targets of such behaviors. Findings reveal that coaches spend 51.2% of their time simply observing the game. Other common coach behaviors are organizing (15%), directing the game (8.1%) and giving information (6.1%). Targets of these behaviors include players in action (40.9%), on the bench (30.4%) and in transition (22.3%).

Systematic Observation of Ice Hockey Referees During Games

A study analyzed the behaviors of eight youth ice hockey referees during 15 different games. The results support the potential educational role that referees can have during games.

A Review on Repeated Games and Reputations with Incomplete Information

In this project we review the effects of reputation within the context of game theory. This is done through a study of two key papers. First, we examine a paper from Fudenberg and Levine: Reputation and Equilibrium Selection in Games with a Patient Player (1989). We add to this a review Gossner’s Simple Bounds on the Value of a Reputation (2011). We look specifically at scenarios in which a long-run player faces a series of short-run opponents, and how the former may develop a reputation. In turn, we show how reputation leads directly to both lower and upper bounds on the long-run player’s payoffs.

Bulgarian-Russian games in the energy sector: an outcome is getting closer. OSW Commentary No. 61, 2011-10-5

Bulgaria and Russia are entering the final phase of setting the conditions of their co-operation in the energy sector. A new gas contract is being negotiated because the currently applicable agreements will have expired by the end of 2012. The fate of two major energy projects – whose implementation depends on good co-operation between Sofia and Moscow: the Burgas– –Alexandroupolis oil pipeline and the construction of a Bulgarian nuclear power plant in Belene with Russian participation – is currently being decided. Another issue ever-present on the agenda is the future of the South Stream gas pipeline promoted by Russia, which is to run through Bulgarian territory. The outcome of all the aforementioned discussions and negotiations will determine for years the model of Bulgarian-Russian relations and may strongly affect the shape of the oil, gas and electricity markets in South-Eastern Europe.

JAABA: interactive machine learning for automatic annotation of animal behavior

We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. These manual labels are converted into classifiers that can automatically annotate behaviors in screen-scale data sets. Our general-purpose system can create a variety of accurate individual and social behavior classifiers for different organisms, including mice and adult and larval Drosophila.

The development of UTCS/NETSIM/ICG: an integrated urban traffic control system - network simulation - interactive computer graphics program. Final report.

Transportation Department, Office of University Research, Washington, D.C.