The Relationship Between User Characteristics and Self-Regulation in an Online Course

• In Event: What Do We Know About Our Online Learners?

Abstract

This study was conducted to examine the relationship between user characteristics (gender, age, academic classification, race/ethnicity, online course experience, and computer skill) and self-regulation in an online course. Ninety-one students taking an online introduction to computing course in a Southwestern university participated in the study. A demographics survey was conducted for user characteristics. Online Self-regulated Learning Questionnaire (Barnard et al., 2009) was used to assess students’ self-regulation. One-way Anova was conducted for each user characteristics variable to examine students’ self-regulation difference. Significant differences were found between students in terms of gender, and computer competency with respect to their self-regulation. Results are presented in detail in the paper.

Authors

• Murat Kurucay, Texas Tech University

• Fethi A. Inan, Texas Tech University

• Erhan Delen, Giresun University