Karen H. Jin

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A physical computing classroom is a popular setting to teach elementary students programming through the use of realistic physical hardware. However, various learning activities and their associated instructional media may cause distraction and disengagement in students' learning experiences. We propose a method to improve the design of learning activities(More)
We present preliminary experiences in designing a Computer Science Principles undergraduate course for all majors that is based on physical computing with the Arduino microprocessor platform. The course goal is to introduce students to fundamental computing concepts in the context of developing concrete products. This physical computing approach is(More)
The multiply sectioned Bayesian network (MSBN) is a well-studied model for probability reasoning in a multi-agent setting. Exact inference, however, becomes difficult as the problem domain grows larger and more complex. We address this issue by integrating approximation techniques with the MSBN Linked Junction Tree Forest (LJF) framework. In particular, we(More)