The MillerLan–Measure of Online Self-Regulated Learning. Scale Development and Validation: A Quantitative Study

• In Event: 29.083 - Poster Session 4
  In Poster Session: 29.083-8 - Examining Synergistic Relationships Among Self-Regulated Learning and Motivational Variables

Abstract

Approximately one in four post-secondary student is currently enrolled in online courses, supporting claims of a rapid transition from traditional learning formats to online learning environments. Use of self-regulated learning (SRL) strategies have been demonstrated to facilitate improvements in both learning and achievement outcomes. Guided by Bandura's (1986) social cognitive theory, and Zimmerman's and Campillo's (2003) three-phase cyclical model of self-regulation, a bottom-up approach to item development was used to guide the creation of an ecologically valid measure of SRL strategy use in the online learning environment. The newly created instrument was administered to a sample of 584 college students across 14 academic disciplines. An excellent internal reliability coefficient was achieved (α =.895). Canonical correlation analysis indicated variables included in the measure accounted for 69.1% of the variance explained.

Authors

• Avery D. Miller

• William Y. Lan, Texas Tech University

• Kamau Oginga Siwatu, Texas Tech University

• Amanda S. Williams, Texas Tech University