Carl Wieman holds a joint appointment as Professor of Physics and of the Graduate School of Education at Stanford University. He has done extensive experimental research in both atomic physics and science education at the university level. Wieman served as founding chair of the Board of Science Education of the National Academy of Sciences and was the founder of PhET, which provides online interactive simulations that are used 100 million times per year to learn science. Wieman directed the science education initiatives at the Universities of Colorado and British Columbia, which carried out large scale change in teaching methods across university science departments. He served as Associate Director for Science in the Office of Science and Technology Policy in the White House from 2010-12. He has also studied student learning and problem solving and the comparative effectiveness of different methods for teaching science.
Argenta Price is a research associate, leading the HHMI adaptive expertise assessment project. She joined the Wieman group as a postdoc with the PhET interactive simulations project, where she researched how different ages of student learn from PhET simulations. Her current work on the HHMI project is to study adaptive expertise in problem solving among experts across a variety of science and engineering disciplines, identifying decisions that experts make in their problem-solving process. Based on the set of expert decisions, we are developing problems, in many topics, to measure how well courses and programs are preparing students to become expert-like problem solvers in their disciplines. Before joining the Wieman group, she received her PhD in biochemistry and molecular biology from the University of California, San Francisco. Publications can be found here.
Shima Salehi is an alumnus and a collaborator of Wieman research lab and a Research Assistant Professor at Stanford Graduate School of Education. She has a PhD in Learning Sciences, and PhD minor in Psychology, and a bachelor’s degree in electrical engineering. Her research focuses on how to teach STEM fields effectively and inclusively. In her PhD thesis, Salehi has developed a framework for teaching and assessing problem-solving practices to high school and under-graduate students. The framework has been adopted in a number of Science and Engineering courses at Stanford. Salehi also studies different causes, manifestations of inequities in STEM education and what instructional and institutional interventions can be designed to address these challenges. Since July 2020, she has started her position as a director of IDEAL research lab at GSE. The research mission of the lab is to design evidence-based practices to promote inclusivity, diversity, equity and access in learning communities at Stanford and beyond. Publications can be found here.
Eric is a postdoctoral scholar in the physics department studying student preparation and performance in introductory physics courses, problem-solving in chemical engineering, and how students make physical meaning from mathematical expressions. He has extensively studied how how high school physics and mathematics preparation correlate with performance in introductory physics courses (see relevant publications here and here), and has studied how to teach authentic problem-solving in introductory physics courses (see publication here). He has also designed an assessment of problem-solving in the context of chemical engineering design that is being used to evaluate the effectiveness of undergraduate engineering programs at a number of top universities (see publication here). Before joining the Wieman group, Eric received his PhD in Chemical Engineering (with a research focus in Soft-Matter Physics) from the California Institute of Technology and a BS in Chemical Engineering from Cornell University. His CV can be found here.
Candice Kim (she/they) is a dual-degree candidate pursuing an MD and PhD in Education (Developmental and Psychological Sciences). Candice’s research examines what defines expertise in clinical reasoning across medical specialties and how to better assess and teach clinical reasoning to medical trainees, from medical students to residents to fellows. Before joining the Wieman group, Candice received her BS and MS in Biology from Stanford University.
Karen Wang is a Ph.D. candidate at the Stanford Graduate School of Education. Under the guidance of Professor Carl Wieman, her research focuses on defining, measuring and teaching complex problem-solving skills using data-enriched assessments and learning analytics techniques. Karen is deeply passionate about leveraging technology to help children of all capabilities engage in learning. Previously, she worked as a technology teacher in the nation’s first Chinese-English bilingual immersion school in San Francisco and a distance educator at the Johns Hopkins Center for Talented Youth in Baltimore. She holds a BA in College of Social Studies and Economics from Wesleyan University and an MA in Learning, Design and Technology from Stanford University.
Gabriel Murillo Gonzalez (pronounced in Spanish) is an undergraduate student majoring in Physics and minoring in Education, working with the Wieman Group under the guidance of postdoctoral scholar Eric Burkholder. His passion for education equity began during his high school career, when he founded and taught a computer literacy & science course for 2nd-6th grade students at his local elementary school. His recent work consists of analyzing the differences in mathematical and physical reasoning between students in the introductory “Electricity and Magnetism” course at Stanford University who have previously taken vector calculus, a required concurrent course, and those who have not. His research also focuses on evaluating quantitative literacy in physics and how students in physics and engineering courses execute rough, back-of-the-envelope calculations.
We also collaborate extensively with the AAA Lab in the Graduate School of Education at Stanford University (PI: Prof. Dan Schwartz).