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Session Submission Type: Structured Poster Session
This symposium gathers a group of experts to discuss the frontiers and examine their connections in science assessment. This collection of nine studies ranges widely from conceptual framework of assessing new aspects of science learning, to studying alternative forms of science assessment, and to empirically verifying construct validity of specific instruments in science learning. What makes this set of presentations unique and coherent is the focus on exploring the connections among cognitive constructs, assessments design, and data modeling. As an interactive session, we expect that the presentations and the interactions between the presenters and the audience will result in important insights in advancing our understanding of measuring students' science knowledge by making interdisciplinary connections and by linking theory and practice.
Empirical Investigation of the Construct in a Brief Electricity and Magnetism Assessment - Lin Ding, The Ohio State University
Using Role Playing as Formative Assessment for Preservice Science Teachers - Rutchelle Batan Enriquez, Leyte Normal University; Ji Shen, University of Miami
Assessing Digital Competencies in Science Learning: A Construct - Jing Lei, Syracuse University; Ji Shen, University of Miami
Measuring Knowledge Integration in Science - Ou Lydia Liu, ETS
Developing Computer Model-Based Assessment of Learning Progression - Xiufeng Liu, University at Buffalo - SUNY; Noemi Waight, University at Buffalo - SUNY; Roberto Ma. Gregorius, Canisius College
Developing a Framework to Assess Interdisciplinary Understanding - Ji Shen, University of Miami; Hsianghan Shannon Sung, University of Georgia - Athens
Review of Using Concept Mapping as Assessment Tools in Science Education - Yue Yin, University of Illinois at Chicago
Science Assessment and Causal Inference: A Simulation Study on Regression Discontinuity and Propensity Score Matching - Qiu Wang, Syracuse University
Sampling Issues for Using Science Notebooks as Assessment Tools - Min Li, University of Washington; Maria Araceli Ruiz-Primo, University of Colorado - Denver