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Session Type: Symposium
This interactive symposium examines the social, cognitive, and motivational processes involving modeling and its effectiveness for self-regulatory instruction and learning. Cognitive models are characterized by their display of problem solving actions, which are explained or justified as they are performed. The chair will introduce the importance of cognitive modeling. A distinguished panel of speakers whose work has significantly impacted the areas of literacy, mathematics, hypermedia, professional development, and teacher education will provide evidence of research based examples of effective modeling. A dual process framework will be introduced which successfully integrates cognitive modeling for instruction and self-regulated learning. Dr. Dale H. Schunk will discuss the commonalities and differences among the presenters. Attendees will share their perspectives and to question the presenters
Cognitive Modeling: Lessons Learned From Self-Regulated Strategy Development - Karen R. Harris, Arizona State University; Debra McKeown, Georgia State University
Making Self-Regulated Learning Explicit Through Sequencing Components of Mathematics Lessons - Stephen J. Pape, Johns Hopkins University; Clare Valerie Bell, University of Missouri - Kansas City; Iffet Elif Yetkin-Ozdemir, Hacettepe University
Modeling Self-Regulated Learning With Intelligent Multiagent Learning Technologies: Beyond Cognition and Metacognition - Roger Azevedo, North Carolina State University; Michelle Taub, North Carolina State University; Nicholas Vincent Mudrick, North Carolina State University
Cognitive Modeling and Self-Regulation: A Dual-Process Framework for Effective Teaching and Learning - Marie Catherine White, Nyack College; Hefer Bembenutty, Queens College - CUNY