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Chen, Patricia; Ong, Desmond C.; Ng, Jessica C.; Coppola, Brian P. – AERA Open, 2021
Self-regulated learners strategically manage physical, technological, online, and social resources for learning--by selecting resources that could be useful, reflecting on how useful these resources have been, and adjusting resource use accordingly. We propose a model that conceptualizes resource management as learners' intentional,…
Descriptors: Grade Prediction, Self Control, College Students, Organic Chemistry
McCoy, Dana Charles; Sabol, Terri J.; Hanno, Emily C.; Odgers, Candice L. – AERA Open, 2022
Little research in education has focused on school neighborhoods. We employ a novel systematic social observation tool--the internet-based School Neighborhood Assessment Protocol (iSNAP)--within Google Street View to quantify the physical characteristics of 291 preschool communities in nine U.S. cities. We find low to moderate correlations (r =…
Descriptors: Neighborhood Schools, Preschools, School Location, Institutional Characteristics
Rottweiler, Anna-Lena; Taxer, Jamie L.; Nett, Ulrike E. – AERA Open, 2018
In the time before an upcoming exam, anxiety is an omnipresent emotion that students may choose to regulate. To date, emotion regulation strategies have been examined in everyday life, but little is known about how these strategies work in exam-related contexts. Therefore, our aim was to explore the effectiveness of several emotion regulation…
Descriptors: Anxiety, Self Control, Test Anxiety, Emotional Response
Lindsay Brown; Kalina Gjicali; Ha Yeon Kim; Carly Tubbs Dolan; Paul Frisoli; Mahmoud Bwary; J. Lawrence Aber – AERA Open, 2023
Despite widespread enthusiasm for remedial education programming with refugee populations, there is little rigorous evidence on how to design and implement such programs. We employ a cluster-randomized design of non-equivalent treatment groups to test the impact of access to two types of program enhancement: longer program duration and the…
Descriptors: Program Evaluation, Refugees, Foreign Countries, Social Emotional Learning
Opelt, Felicitas; Schwinger, Malte – AERA Open, 2020
Based on Boekaerts' dual-processing self-regulation model, our study seeks to examine to what extent narrow personality traits are associated with different aspects of self-regulated learning. We approach this research question by examining the relationships of the narrow personality traits mindfulness, contingent self-esteem (domain academic…
Descriptors: Correlation, Personality Traits, Self Management, Learning Strategies
Baker, Rachel; Evans, Brent; Dee, Thomas – AERA Open, 2016
An increasing number of students are taking classes offered online through open-access platforms; however, the vast majority of students who start these classes do not finish. The incongruence of student intentions and subsequent engagement suggests that self-control is a major contributor to this stark lack of persistence. This study presents the…
Descriptors: Online Courses, Randomized Controlled Trials, Experimental Groups, Control Groups
Jackson, Caesar R. – AERA Open, 2018
This study investigated the validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ) for minority students enrolled in STEM courses at a historically black college/university (HBCU). Confirmatory factor analysis was used to test the third-order factor structure and to respecify the model. An adequate fit to the study…
Descriptors: Questionnaires, Learning Strategies, STEM Education, Black Colleges
Ellis, James M.; Helaire, Lumas J. – AERA Open, 2018
College access programs (CAPs) aim to promote college readiness for adolescents, particularly those who may be the first in their family to go to college. Self-regulated learning is a critical component of college readiness. There is limited information about how self-regulated learning beliefs or intentions influence adolescent engagement in…
Descriptors: College Readiness, Adolescents, Student Attitudes, Self Control
Moore, Kristin Anderson; Lippman, Laura H.; Ryberg, Renee – AERA Open, 2015
Research indicates that educational, economic, and life success reflect children's nonacademic as well as academic competencies. Therefore, longitudinal surveys that assess educational progress and success need to incorporate nonacademic measures to avoid omitted variable bias, inform development of new intervention strategies, and support…
Descriptors: Outcome Measures, Psychometrics, Child Health, Emotional Development