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Preservice Teachers' Motivation Profiles, Self-Regulation, and Affective Outcomes in Online Learning
Cho, Moon-Heum; Cheon, Jongpil; Lim, Seongmi – Distance Education, 2021
The purpose of this study was to examine the relationship between motivation profiles and self-regulation in online students and self-regulation as a predictor of affective learning outcomes, depending on students' motivation profiles. A total of 556 online preservice teachers participated in this study at a university in the United States of…
Descriptors: Preservice Teachers, Student Motivation, Profiles, Electronic Learning
Cheon, Jongpil; Cheng, Jiaming; Cho, Moon-Heum – Distance Education, 2021
This study reports the development and validation of the Online Learning Readiness Self-Check (OLRSC), a self-report survey designed to examine nontraditional students' readiness for online learning. A total of 505 prospective online learners with diverse background participated in the study. Data from 252 randomly selected participants were used…
Descriptors: Self Evaluation (Individuals), Self Concept Measures, Electronic Learning, Learning Readiness
Cho, Moon-Heum; Cho, YoonJung – Distance Education, 2017
The purpose of this study was to develop a scale with which to examine students' self-regulation (SR) in three types of online interaction. Using scale development steps, we constructed the online self-regulation questionnaire (OSRQ), a self-report survey. A total of 799 online students participated in the study. Data from 400 randomly selected…
Descriptors: Self Management, Factor Structure, Factor Analysis, Computer Mediated Communication
Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Cho, Moon-Heum; Summers, Jessica – Journal of Interactive Learning Research, 2012
The purpose of this study was to investigate the factor validity of the Motivated Strategies for Learning Questionnaire (MSLQ) in asynchronous online learning environments. In order to check the factor validity, confirmatory factor analysis (CFA) was conducted with 193 cases. Using CFA, it was found that the original measurement model fit for…
Descriptors: Measures (Individuals), Learning Strategies, Factor Analysis, Validity
Cho, Moon-Heum; Shen, Demei – Distance Education, 2013
The purpose of this study was to examine the role of goal orientation and academic self-efficacy in student achievement mediated by effort regulation, metacognitive regulation, and interaction regulation in an online course. The results show that intrinsic goal orientation and academic self-efficacy predicted students' metacognitive…
Descriptors: Self Management, Online Courses, Electronic Learning, Metacognition
Cho, Moon-Heum; Jonassen, David – Educational Psychology, 2009
Two studies focusing on the development and validation of the Online Self-Regulated Learning Inventory (OSRLI) were conducted. The OSRLI is a self-report instrument assessing the human interaction dimension of online self-regulated learning. It consists of an affect/motivation scale and an interaction strategies scale. In Study 1, exploratory…
Descriptors: Writing Strategies, Self Efficacy, Online Courses, Learning Strategies
Cho, Moon-Heum – Association for Educational Communications and Technology, 2004
The purpose of this study was to investigate the effects of design strategies for promoting students' self-regulated learning skills on students' self-regulation and achievements. Seven strategies for promoting students' SRL are identified through the literature review and applied into the experimental group: goal setting, self-evaluation,…
Descriptors: Online Courses, Computer Assisted Instruction, Instructional Design, Self Management