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Session Type: Symposium
This symposium brings together international research on performance-based approaches to assessing critical thinking (CT) in higher education. It explores how AI tools and innovative scoring methods can enhance or challenge the validity and comparability of cross-national CT assessments. Presentations address students’ engagement with AI in performance tasks, the integration of AI-assisted scoring across countries, and strategies to ensure cognitive validity by combining process and product data. Together, these studies offer methodological insights and practical implications for designing reliable CT assessments that reflect real-world reasoning demands. The symposium aims to inform international educational research and support the development of domain-sensitive instructional interventions to foster students’ CT in increasingly AI-rich learning environments.
Using Multivariate G-Theory to Examine Rater and Source Effects in Cross-Country Critical Thinking Performance Assessment - Roza Nalbandyan, Stanford University; Richard J. Shavelson, Stanford University
Measurement of Critical Thinking: The quality of LLM-based essay coding of Performance Assessment Tasks - Kai S. Cortina, University of Michigan; Jackson Schwartz, University of Michigan; Blake Ebright-Jones, Washington University in St. Louis
How Critically Do Students Engage with AI? - Natalia Ronderos, University of Zurich; Doreen Flick-Holtsch, University of Zurich; Julian Patricio Mariño von Hildebrand, Universidad de los Andes; Maren Oepke, University of Zurich
University Students’ Source Evaluation and Argumentation: Comparing Performance and Processes through Essays and Think-Alouds - Katharina Depré, Johannes Gutenberg University of Mainz; Olga Zlatkin Troitschanskaia, Johannes Gutenberg University of Mainz; Dominik Braunheim, Johannes Gutenberg University of Mainz; Thiemo Hagen, Johannes Gutenberg University of Mainz; Richard J. Shavelson, Stanford University