An inverted classroom is a teaching environment that mixes the use of technology with hands-on activities. In an inverted classroom, typical in-class lecture time is replaced with laboratory and in-class activities. Outside class time, lectures are delivered over some other medium such as video ondemand. In a three credit hour course for instance, contact hours are spent having students actively engaged in learning activities. Outside of class, students are focused on viewing 3-6 hours of lectures per week. Additional time outside of class is spent completing learning activities. In this paper we present the inverted classroom model in the context of a software engineering curriculum. The paper motivates the use of the inverted classroom and suggests how different courses from the Software Engineering 2004 Model Curriculum Volume can incorporate the use of the inverted classroom. In addition, we present the results of a pilot course that utilized the inverted classroom model at Miami University and describe courses that are currently in process of piloting its use.

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is a Computer Science graduate student at Miami University in Oxford, Ohio. Her research is primarily dedicated to understanding mobile learning applications and techniques, but her interests also extend to digital humanities, service-based learning, and the effective use of different technologies in the classroom.

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Abstract. Web-based portals are a convenient and effective mechanism for integrating information from a wide variety of sources, including Web services. However, since availability and performance of Web services cannot be guaranteed, availability of information and overall performance of a portal can vary. In this paper, we describe a framework for developing an autonomic self-healing portal system that relies on the notion of differentiated services (i.e., services that provide common behavior with variable quality of service) in order to survive unexpected traffic loads and slowdowns in underlying Web services. We also present a theoretical performance model that predicts the impact of the framework on existing systems. We demonstrate the framework with an example and provide an evaluation of the technique.