This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of an interdisciplinary graduate training program in Cognitive, Computational, and Systems Neuroscience at Washington University in Saint Louis. Understanding how the brain works under normal circumstances and how it fails are among the most important problems in science. The purpose of this program is to train a new generation of systems-level neuroscientists who will combine experimental and computational approaches from the fields of psychology, neurobiology, and engineering to study brain function in unique ways. Students will participate in a five-course core curriculum that provides a broad base of knowledge in each of the core disciplines, and culminates in a pair of highly integrative and interactive courses that emphasize critical thinking and analysis skills, as well as practical skills for developing interdisciplinary research projects. This program also includes workshops aimed at developing the personal and professional skills that students need to become successful independent investigators and educators, as well as outreach programs aimed at communicating the goals and promise of integrative neuroscience to the general public. This training program will be tightly coupled to a new research focus involving neuro-imaging in nonhuman primates. By building upon existing strengths at Washington University, this research and training initiative will provide critical new insights into how the non-invasive measurements of brain function that are available in humans (e.g. from functional MRI) are related to the underlying activity patterns in neuronal circuits of the brain. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
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TEAM MEMBERS:
Kurt ThoroughmanGregory DeAngelisRandy BucknerSteven PetersenDora Angelaki
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
An international wiki-based collaboration was integrated into a large introductory educational technology course enrolling 346 students, divided into 43 teams. Student teams participated in a 5-week project in which they created wiki chapters about the educational uses of specific Web 2.0 tools. Two to four international students, located in their home countries, participated on each team, collaborating via the evolving wiki, as well as other Web 2.0 tools. Using expectancy-value as our motivational framework, we gathered pre- and post-survey data, triangulated with focus group interview data
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TEAM MEMBERS:
Peggy ErtmerTimothy NewbyWei LiuAnnette TomoryJi YuYoung Lee
This implementation study explores middle school, high school and community college student experiences in Globaloria, an educational pilot program of game design offered in schools within the U.S. state of West Virginia, supported by a non-profit organization based in New York City called the World Wide Workshop Foundation. This study reports on student engagement, meaning making and critique of the program, in their own words. The study's data source was a mid-program student feedback survey implemented in Pilot Year 2 (2008/2009) of the 5 year design-based research initiative, in which the
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman ) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online (RMAPO) project examines implications using online HTML lessons. Initial project results suggested that adding usefulness information (enhancing goals-defined motivation) predicted higher engagement levels (enhancing experience), which in turn predicted
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TEAM MEMBERS:
Carol SansoneTamra FraughtonJoseph ZacharyJonathan ButnerCecily Heiner
This is a proposal for a 3 year, $1,297,456 project to be conducted as collaboration among 5 higher education institutions and one school system across the country, with St. Joseph's University in Philadelphia, PA serving as the lead institution (other collaborators are from Colorado School of Mines, Ithaca College, Santa Clara University, Duke University, and Virginia Beach School System). The primary goal is to attract and retain students in computer science, especially women and underrepresented minorities (including two EPSCoR states). To this end, the project will use Alice, a software program that utilizes 3-D visualization methods, as a medium to create a high-level of interest in computer graphics, animation, and storytelling among high school students, hence to build understanding of object-based programming. Such an IT focus on media and animation is aligned with national computer science standards. The project will build a network of college and high school faculty, who will offer workshops and provide continuing support during the academic year. In each site, pairs of teachers from each participating school (total = 90) will learn with university faculty via a 3-week summer program in which an introduction to using Alice for teaching will be followed by teacher development of materials for students that will then be used to teach high school students. An experimental start at one site will be followed by implementation at four additional sites and culminated with revised implementation at the sixth site (1-4-1 design).
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TEAM MEMBERS:
Susan Rodger
resourceprojectProfessional Development, Conferences, and Networks
AccessComputing is a NSF-funded Broadening Participation in Computing alliance with the goal of increasing the participation and success of people with disabilities in computing fields. AccessComputing is in its 10th year of funding. It supports students with disabilities from across the country in reaching critical junctures toward college and careers by providing advice, resources, mentoring opportunities, professional contacts, and funding for tutoring, internships, and computing conferences. For educators and employers, it offers institutes and workshops to build awareness of universal design and accommodation strategies, and to aid in recruiting and supporting students with disabilities through the development of inclusive programs and education on promising practices.
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