Just-in-Time Teaching (JiTT) is a teaching and learning strategy based on the interaction between web-based study assignments and an active learner classroom. The essence of JiTT is the feedback loop formed by the students' preparation outside the classroom that shapes their in-class experience. The goal of JiTT is to use feedback to guide teaching and to empower and motivate learners. This paper describes a successful implementation of the JiTT strategy for an introductory computer science course.

What is the core of Computing? This paper defines the discipline of computing as centered around the notion of modeling, especially those models that are automatable and automatically manipulable. We argue that this central idea crucially connects models with languages and machines rather than focusing on and around computational artifacts, and that it admits a very broad set of fields while still distinguishing the discipline from mathematics, engineering and science. The resulting computational curriculum focuses on modeling, scales and limits, simulation, abstraction, and automation as key components of a computationalist mindset.

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For forty years programming has been the foundation of introductory computer science. Despite exponential increases in computational power during this period, examples used in introductory courses have remained largely unchanged. The incredible growth in statistics courses at all levels, in contrast with the decline of students taking computer science courses, points to the potential for introducing computer science at many levels without emphasizing the process of programming: leverage the expertise and role-models provided by high school mathematics teachers by studying topics that arise from social networks and modeling to introduce computer science as an alternative to the traditional programming approach. This new approach may capture the interest of a broad population of students, crossing gender boundaries. We are developing modules that we hope will capture student interest and provide a compelling yet intellectually rich area of study. We plan to incorporate these modules into existing courses in math, statistics, and computer science at a wide variety of schools at all levels.

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