Date of Award

Fall 2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

STEM and Professional Studies

Program/Concentration

Instructional Design & Technology

Committee Director

Linda Bol

Committee Member

John Baaki

Committee Member

Tian Luo

Abstract

The online learning environment is a dynamic yet complex learning modality. Students are physically separated from their peers, they grapple with feelings of isolation, and they may be unable to self-regulate their learning. Studies have shown that self-regulation is related to academic achievement and student metacognitive monitoring in online settings. The present study investigated the effects of a standardized diaries on students’ self-regulatory behaviors, calibration accuracy and academic achievement within an online learning environment. Using this self-monitoring and evaluation tool, forty online graduate students enrolled in a research methods course at a southeastern university in the United States participated in a semester-long experimental study. Students were randomly assigned to either a treatment or control group. The researcher used the Online Self-Regulated Learning Questionnaire (OSLQ) (Barnard-Brak, Lan, To, Paton, & Lai, 2009) to examine changes in students’ self-regulatory behavior. Calibration accuracy was used to measure metacognitive monitoring while final course grade was used to measure achievement. The one-way ANOVA revealed that students who received the intervention were significantly more accurate on their metacognitive judgements made after taking the test (postdiction) when compared to the control group. However, no significant effect of the treatment was found on self-regulated learning behaviors or academic achievement.

DOI

10.25776/jgcq-dj97

ISBN

9781392580875

ORCID

0000-0002-0389-464X

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