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Xia, Qi; Chiu, Thomas K. F.; Chai, Ching Sing – Education and Information Technologies, 2023
Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…
Descriptors: Artificial Intelligence, Grade 9, Student Needs, Gender Differences
Valerie Woxholdt – ProQuest LLC, 2024
Self-regulation refers to a complex set of processes that control attentional, emotional, and behavioral impulses. Understandably, studies have shown that these processes have a significant impact on an individual's success in school environments. Further, research has highlighted that self-regulation processes are developmental and dynamic,…
Descriptors: Self Management, COVID-19, Pandemics, Stress Variables
Jing Liu; Megan Kuhfeld; Monica Lee – Educational Policy, 2025
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Social Emotional Learning, Student Characteristics, Demography, Achievement
Hacatrjana, Liena – Journal of Intelligence, 2022
The relation between academic achievement and various measurements of cognitive abilities, problem-solving skills and self-managed learning has been established in the research before the COVID-19 pandemic and distance learning. The aim of the current research was to analyze the extent to which these aspects predicted the educational achievement…
Descriptors: Grade 9, COVID-19, Pandemics, School Closing
Sibley, Margaret H.; Graziano, Paulo A.; Ortiz, Mercedes; Rodriguez, Lourdes; Coxe, Stefany – Grantee Submission, 2019
Attention-Deficit/Hyperactivity Disorder (ADHD) is associated with academic failure in high school; however the underpinnings of these difficulties are insufficiently understood. This study examined deficits in self-regulated learning in a sample of high school students with ADHD (n=32) compared to demographically similar classmates without ADHD…
Descriptors: Attention Deficit Hyperactivity Disorder, High School Students, Student Motivation, Goal Orientation
Velayutham, Sunitadevi; Aldridge, Jill M. – Research in Science Education, 2013
The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students' motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on…
Descriptors: Foreign Countries, Grade 8, Structural Equation Models, Student Motivation
Lawanto, Oenardi; Santoso, Harry B.; Liu, Yang – Educational Technology & Society, 2012
In this study, the relationship between students' interest in engineering design activities and their expectancy for success in grades 9-12 was evaluated. The theoretical frameworks developed by Eccles and colleagues (i.e., expectancy value) and Butler and Cartier (i.e., what the students bring to contexts under a self-regulated learning…
Descriptors: Design, Engineering Education, Expectation, Student Interests
Clemons, Trudy L. – National Research Center on the Gifted and Talented, 2008
The purpose of this study was to examine the relationships among students' self-perception, attitudes toward school, study and organizational skills, achievement motivation, attributional style, gender, parental involvement and style, parental income and parental level of education, and students' academic performance or achievement. Using…
Descriptors: Socioeconomic Status, Student Attitudes, Academically Gifted, Grade Point Average