ERIC Number: ED638140
Record Type: Non-Journal
Publication Date: 2022
Pages: 110
Abstractor: As Provided
ISBN: 979-8-3803-4388-6
ISSN: N/A
EISSN: N/A
Available Date: N/A
Student Device Usage, Learning Management System Tool Usage, and Self-Regulated Learning
Nancy L. Webb
ProQuest LLC, Ph.D. Dissertation, University of Nevada, Las Vegas
Self-regulated learning (SRL) is crucial to student success in online learning environments. Students enrolled in online courses at higher education institutions access courses through the learning management system (LMS) to complete coursework, interact with instructors and peers using various learning management system tools and multiple technological devices. Researchers frequently rely on surveys to identify how students self-regulate, but students often are not honest or over or under-estimate their SRL skills. Learning management system data analytics have recently provided opportunities to examine the frequencies and sequences of how learnings engage with tools and content in the online learning environment. The purpose of this study is to investigate which device and learning management system tools play a specific role in fostering and analyzing students self-reported SRL amongst demographic groups. The study utilized a non-intervention descriptive research design. Results identified multiple device usage when students accessed the learning management system. Utilizing students learning management system data logs, the study examined means differences among demographic groups (gender, race, course enrollment, age, and GPA) and learning management system tool usage. Means differences for learning management system tool usage and demographic groups were found no to be large. To assess students' self-reported SRL, students completed the Online Self-Regulated Learning Questionnaire (OSLQ) (Barnard, Lan, To, Paton & Lai, 2009). Low-performing students (GPAs 2.99 and below) reported SRL scores on par or slightly higher than their higher-performing peers (3.0 to 3.49, and 3.5 to 5.0) Differences between lower and higher-performing students also appeared with learning management system tool usage. Low-performing students utilized LMS tools less frequently than their higher-performing classmates. These finding support SRL and data analytics literature in that higher and lower performing students report SRL levels that may not be in alignment with learning management system tool and device usage. Instructing students on how to become effective in SRL, and which tools and devices are most effective to support SRL is important to improving student success in the online learning environment. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Descriptors: Electronic Learning, Learning Management Systems, Success, Higher Education, Educational Technology, Student Attitudes, College Students
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
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