In partnership with the University of Pennsylvania's Graduate School of Education, The Franklin Institute Science Museum will develop, test, and pilot an exportable and replicable cyberlearning exhibit using two cutting edge technologies: Augmented Reality (AR) and Virtual Reality (VR). The exhibit's conceptualization is anchored in the learning research vision of the NSF-funded workshop Cyberinfrastructure for Education and Learning for the Future (Computing Research Association, 2005). The incorporation of VR and AR technologies into the Franklin Institute's electricity and Earth science exhibits is an innovation of traditional approaches to hands-on learning and will improve the quality of the learning experience for the primary audience of families with children and elementary school groups. The project has implications for future exhibit development and more broadly, will provide new research on learning on how to incorporate cyberlearning efforts into traditional exhibits. Fifteen participating exhibit developers across the ISE field will assist in the evaluation of the new exhibit; receive training on the design and development of VR and AR exhibits for their institutions; and receive full access to the exhibit's new software for implementation at their informal learning sites. The technology applications will be developed by Carnegie Mellon University's Entertainment Technology Center--leaders in the field in Virtual Reality design and development. Front-end and formative evaluation will be overseen internally by the Franklin Institute. The Institute for Learning Innovation will conduct the summative evaluation. Research will be conducted by the University of Pennsylvania's Graduate School of Education on the effects of AR and VR technologies on exhibit learning.
This documents the formative evaluation of Diffusion (aka Mixing Molecules), an immersive video interactive display demonstrating the collision of molecules.
A team of researchers and practitioners developed a museum program to coach families in the skills of scientific inquiry at interactive exhibits. The program was inspired by the increasing focus on scientific inquiry in schools and the growing number of open-ended exhibit designs in science museums. The development process involved major decisions in two arenas: which inquiry skills to teach, and what pedagogical strategies to use to teach them. After many rounds of refinement based on evaluation with families, the final program, called Inquiry Games, improved visitors' inquiry behavior in
The Physics and Chemistry Education Technology (PhET) Project is developing an extensive suite of online, highly-interactive simulations, with supporting materials and activities for improving both the teaching and learning of physics and chemistry. There are currently over 70 simulations and over 250 associated activities available for use from the PhET website (http://phet.colorado.edu). These web-based resources are impacting large number of students. Per year, there are currently over 4 million PhET simulations run online and thousands of full website downloads for offline use of the simulations. The goal is that this widespread use of PhET's research-based tools and resources will improve the education of students in physics and chemistry at colleges and high schools throughout the U.S. and around the world. This PhET project combines a unique set of features. First, the simulation designs and goals are based on educational research. Second, using a team of professional programmers, disciplinary experts, and education research specialists enables the development of simulations involving technically-sophisticated software, graphics, and interfaces that are highly effective. Third, the simulations embody the predictive visual models of expert scientists, allowing many interesting advanced concepts to become widely accessible and revealing their relevance to the real world. And finally, the project is actively involved in research to better understand how the design and use of simulations impacts their effectiveness - e.g. investigating questions such as "How can these new technologies promote student understanding of complex scientific phenomena?" and "What factors inhibit or enhance their use and effectiveness?".
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TEAM MEMBERS:
Katherine PerkinsMichael DubsonNoah FinkelsteinRobert ParsonCarl Weiman