The Convergence and Predictive Value of Four Self-Regulated Learning Measurement Formats

• In Event: 26.080 - Roundtable Session 8
  In Roundtable Session: 26.080-16 - Measuring Metacognition and Self-Regulated Learning

Abstract

The authors examined the convergence and predictive value of four self-regulated learning (SRL) measurements types (self-report questionnaires, teacher ratings, SRL microanalysis, and behavioral traces) situated within a mathematics context. The convergence of these measures was examined across task-difficulty and the predictive value was examined for three distinct mathematics outcomes ranging from task-specific to domain-specific. Participants included 97 eighth graders. Results displayed that microanalytic strategy-use related to behavioral traces, microanalytic strategy-use and behavioral traces related to teacher ratings when examining a difficult but not an easy task, and questionnaires correlated only with teacher ratings. Microanalytic metacognitive-monitoring was significantly predictive of all outcomes. However, behavior traces also predicted a task-specific outcome, but teacher ratings were the strongest predictors of more global outcomes.

Authors

• Gregory L. Callan, Virginia Beach City Public Schools

• Timothy J. Cleary, Rutgers University

• Amy Kaminski, University of Wisconsin - Milwaukee