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Session Type: Roundtable Session
This session brings together four studies that advance our understanding of cognitive mechanisms and their implications for learning and assessment. The first paper introduces an expert system model to evaluate open-ended assessment items, offering a novel way to capture complex reasoning. The second explores executive function as a cognitive root of risk behaviors, highlighting how cognitive processes shape health-related decision-making. The third examines the role of motor sequences and script experience in written language production, illuminating cognitive–motor interactions in learning. The final paper investigates epistemic growth in scientific inquiry through longitudinal modeling. Together, these papers demonstrate how innovative cognitive frameworks inform assessment, learning, and developmental trajectories across contexts.
Challenging Conventional Approaches: An Expert System Model for Evaluating Open-Ended Assessment Items - Bengi Birgili Karabulut, MEF University
From Poverty to Risk: Cognitive Roots of Tobacco Use Through Executive Function - Qijia Wang, University of Cambridge
The Effect of Motor Sequence on Written Word Production of a New Script Moderated by Script Experience and Visual Complexity - Xianglin Zhang, University of Maryland; Min Wang, University of Maryland; Yi Dai, University of Maryland
Tracing Epistemic Growth in Scientific Inquiry: A Longitudinal Study of Cognitive and Structural Development - Mustafa CAKIR, Marmara University; Anıl Yurdakul, Marmara University; Ozgur Kivilcan Dogan, Marmara University