This document is the final evaluation report for the project, which focuses both on formative evaluation of the collaborative+interdisciplinary presentation creation process and summative evaluation of audience learning outcomes.
The cyberlearning community in the United States brings computer scientists and learning scientists together to design and study innovative learning technologies. The Cyberlearning Community Report: The State of Cyberlearning and the Future of Learning With Technology highlights examples of the exciting work our community is engaged in as we integrate the latest innovations in learning science and computer science into new research designs and methods. This work is also driving the need for new learning sciences in areas such as embodied cognition, identity, and affect, and requires advances
The Mabee Library at MidAmerica Nazarene University will create a Center for Games and Learning, which will be used to incorporate games in higher education curricula and academic life, with the goal of promoting skills such as collaboration, critical thinking, and strategic thinking. A cohort of faculty members will incorporate games into selected courses, and evaluations will be performed to assess the acquisition of skills through gaming. Following the dissemination of these findings, the Center for Games and Learning will remain as a pioneering campus resource for future faculty to incorporate in their courses.
Considerable research has compared how students learn science from computer simulations with how they learn from "traditional" classes. Little research has compared how students learn science from computer simulations with how they learn from direct experience in the real environment on which the simulations are based. This study compared two college classes studying introductory oceanography. One class learned using an interactive computer simulation based on a dynamic, three-dimensional model of physical oceanography. The other class learned by spending a day on a research ship using
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TEAM MEMBERS:
William WinnFrederick StahrChristian SarasonRuth FrulandPeter OppenheimerYen-Ling Lee
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The