72.061 - Measuring Self-Regulated Learning: Issues and Innovations

Session Type: Symposium

Abstract

This symposium will bring together well-established scholars to facilitate a discussion addressing the timely question: How do distinct measures advance our understanding of Self-Regulated Learning (SRL)? Each presenter will: (1) Describe the SRL measure used in his or her research agenda; (2) Discuss data generated by this measure; (3) Identify how the measure and data advance our understanding of SRL; and (4) Embed these descriptions in the broader contexts of questions guiding research agendas. The discussant, renowned SRL scholar Dale Schunk, will present constructive critiques of each presentation and provide commentary about improving methods in the SRL field. The symposium will conclude with a discussion generated by questions from attendees and facilitated by the discussant.

Sub Unit

• SIG-Studying and Self-Regulated Learning

Chair

• Matthew L. Bernacki, University of Nevada - Las Vegas

Papers

• Fusing Multichannel Trace Data to Understand Self-Regulated Learning With Advanced Learning Technologies - Roger Azevedo, North Carolina State University

• Microanalytically Assessing Self-Regulated Learning During Task Performance: Conceptual Foundations and Relations With Aptitude and Event Measures - Timothy J. Cleary, Rutgers University

• A Multimethod Approach to Examining Self-Regulated Learning With the Latest Classroom Technology - Daniel Charles Moos, Gustavus Adolphus College

• Using Observations to Understand How Children's Self-Regulated Learning Is Supported in Classrooms - Nancy E. Perry, The University of British Columbia

Discussant

• Dale H. Schunk, University of North Carolina - Greensboro