Tuesday, September 13, 2022
2:00 - 4:00 PM (PDT) at Berkeley Way West 4500 and on Zoom
Open to all GSE faculty, students, community. Send email to email@example.com to request a zoom link.
About the session:
For the past several years, members of the BEAR Center have collaborated with the National Math and Science Initiative (NMSI) to develop exemplar tests of college readiness in STEM areas. At present, these include tests of Problem Solving with Mathematics (algebraic skills), Data-based Decision Making (statistical skills), and Computational Thinking (primarily computer science skills and principles). During this seminar, we will present more information about each of the three areas, including the constructs making up each area, and show examples of our work in each area in terms of item development, scoring and analysis, and standard setting.
Richard Brown is Research Scientist/Principal Investigator with the National Math and Science Initiative (NMSI). He has led the NMSI efforts in the CR4CR project since its inception. He received his Ph.D. in Advanced Quantitative Methodology from UCLA. His research interests include item response modeling, psychometrics, assessment development, and program evaluation.
Yukie Toyama is a researcher at the BEAR center. Her research interest lies in the use of learning progressions and item response models to improve student learning in literacy and STEM fields. She earned her PhD at UC Berkeley in 2019 and has been managing the critical reasoning for college readiness (CR4CR) project. Prior to her PhD training, she worked on a various evaluation and assessment development projects leveraging educational technology at SRI International.
Rich Patz is an educator, researcher and consultant who specializes in educational assessment and statistics. He has held numerous scientific and executive positions in the educational testing industry, and he has held visiting scholar appointments at several leading universities. He currently serves as a Distinguished Research Advisor at the BEAR Center and also teaches mathematics in UC Berkeley’s Fall Program for Freshmen. Rich earned his masters and Ph.D. degrees in statistics from Carnegie Mellon University, and a bachelor’s degree in mathematics from Grinnell College. A former high school math teacher, Rich’s scholarship has focused on quantitative methods in the social sciences, and methodological and applied research in educational testing and measurement.
Karen Draney is the Co-Director of the BEAR Center, and an adjunct professor in the Berkeley School of Education. She teaches courses in introductory data analysis, and standardized testing issues in US schools. She received her PhD in Education from UC Berkeley in 1996. Her current research interests include the development of both formative and summative assessments based on constructs and learning progressions, and that provide useful information to teachers, parents, and schools. She has worked at the BEAR Center since its inception.
Perman Gochyyev is a behavioral statistician at the Graduate School of Education, University of California, Berkeley, and at the Berkeley Evaluation and Assessment Research (BEAR) Center. His research areas include latent variable modeling, causal inference, and evaluation.