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Ryan A. Burke; Jamie J. Jirout; Bethany A. Bell – Grantee Submission, 2024
Cognitive engagement is an essential component in student learning. With the increase of more asynchronous virtual educational tools in classrooms, there is a need to understand how students are engaging with classroom content in these formats. Several studies have examined student and teacher perceptions of cognitive engagement in virtual…
Descriptors: Student Participation, Learner Engagement, Computer Mediated Communication, Asynchronous Communication
Jelena Obradovic; Michael J. Sulik; Emma Armstrong-Carter – Grantee Submission, 2021
This preregistered, randomized field experiment tested the effectiveness of a brief deep breathing intervention on children's concurrent physiological arousal in naturalistic settings (N = 342; M[subscript age] = 7.48 years; 46% female; 53% Asian, 26% White; 21% other race/ethnicity). The treatment consisted of an animated video that introduced…
Descriptors: Relaxation Training, Intervention, Physiology, Video Technology
Joseph Wong; Edward Chen; Natalie Au-Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2022
Historically, learning for young students has occurred in formal, in-person classroom environments, but the distance learning context has opened a myriad of learning modalities. To this end, we aim to better understand how deploying learning experience design (LXD) approach supports or hinders children's engagement while participating in an…
Descriptors: Learning Processes, Attention Control, Learning Experience, Learner Engagement
Mongkhonvanit, Kritphong; Kanopka, Klint; Lang, David – Grantee Submission, 2019
MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…
Descriptors: Online Courses, Large Group Instruction, Knowledge Level, Learner Engagement
Joseph Wong; Natalie Au Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2021
Historically, learning for young students has occurred in formal, in-person classroom environments. But in just a matter of weeks, children were mandated to transition to a completely new mode of learning, facing new learning challenges with heightened anxieties. To this end, we aim to better understand how our learning experience design (LXD)…
Descriptors: Instructional Design, Learner Engagement, Video Technology, Online Courses
Kim, Dongho; Lee, Yongseok; Leite, Walter L.; Huggins-Manley, A. Corinne – Grantee Submission, 2020
Online learning platforms integrating open educational resources (OERs) are increasingly adopted in secondary education as supplemental resources for teaching and learning. However, students report difficulties sustaining their engagement because of the self-paced nature of OER-supported learning environments. We noted that little attention has…
Descriptors: Behavior Patterns, Use Studies, Student Attrition, Open Educational Resources
Meredith P. Franco; Jessika H. Bottiani; Katrina J. Debnam; Wes Bonifay; Toshna Pandey; Juliana Karras; Catherine P. Bradshaw – Grantee Submission, 2024
There is growing interest in improving and assessing teachers' use of culturally responsive practices (CRP) in the classroom, yet relatively few research-based approaches exist to address these measurement gaps. This article presents findings on the psychometric properties of a newly developed classroom observation measure of CRP, called the CARES…
Descriptors: Culturally Relevant Education, Classroom Observation Techniques, Construct Validity, Educational Practices
Lang, David; Kindel, Alex; Domingue, Ben; Paepcke, Andreas – Grantee Submission, 2017
Understanding how individuals interact with a course after receiving a passing grade could have important implications for course design. If individuals become disengaged after passing a class, then this may raise questions about optimal ordering of content, course difficulty, and grade transparency. Using a person fixed effects model, we analyze…
Descriptors: Learner Engagement, Outcomes of Education, Academic Achievement, Grades (Scholastic)