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Biography
Shima Salehi is a Research Assistant Professor at Stanford Graduate School of Education, and the director of IDEAL research lab, the research component of Stanford IDEAL initiative to promote inclusivity, diversity, equity and access in learning communities. Her research focuses on how to use different instructional practices to teach science and engineering more effectively and inclusively. For effective science and engineering education, Dr. Salehi has studied effective scientific problem-solving and developed empirical framework for main problem-solving practices to train students in. Based on these findings, she has designed instructional activities to provide students with explicit opportunities to learn these problem-solving practices. These activities have been implemented in different science and engineering courses. For Inclusive science and engineering, she examines different barriers for equity in STEM education and through what instructional and/or institutional changes they can be addressed. Her recent works focus on what are the underlying mechanisms for demographic performance gaps in STEM college education, and what instructional practices better serve students from different demographic backgrounds. Salehi holds a PhD in Learning Sciences and a PhD minor in Psychology from Stanford University, and received a B.Sc. degree in Electrical Engineering from Sharif University of Technology, Iran. She is the founder of KhanAcademyFarsi, a non-profit educational organization which has provided service to Farsi-speaking students, particularly in under-privileged areas.
Other titles
Assistant Professor (Research), Graduate School of Education
Program affiliations
DAPS
Learning Sciences and Technology Design (LSTD)
SHIPS (PhD): Race, Inequality, and Language in Education (RILE)
Research interests
Assessment, Testing and Measurement | Brain and Learning Sciences | Curriculum and Instruction | Data Sciences | Diversity and Identity | Equity in Education | Higher Education | Math Education | Psychology | Science Education | Technology and Education
Recent publications
Wang, K. D., Burkholder, E., Wieman, C., Salehi, S., & Haber, N. (2024). Examining the potential and pitfalls of ChatGPT in science and engineering problem-solving. FRONTIERS IN EDUCATION, 8.
Schwartz Poehlmann, J. K., Nardo, J. E., Rojas, M., & Salehi, S. (2024). Introducing the Problem-Solving Template as a Tool for Equity: Addressing Incoming Preparation Disparities. J. Chem. Educ., 101(3).
Wang, K. D., Liu, H., DeLiema, D., Haber, N., & Salehi, S. (2024). Discovering Players′ Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining. FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024. ASSOC COMPUTING MACHINERY.