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Xu, Jianzhong; Corno, Lyn – Educational Psychology, 2022
The current investigation used latent profile analysis (LPA) to categorise students according to their strategies for managing mathematics homework. A sample of 918 Chinese students in grades 7-9 rated their use of seven homework management strategies; namely, arranging the environment, managing time, monitoring motivation, managing emotion,…
Descriptors: Homework, Metacognition, Learning Strategies, Mathematics Achievement
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Buzza, Dawn; Fitzgerald, Carolyn; Avitzur, Yoad – McGill Journal of Education, 2022
This study examines how one teacher supported low-achieving students' self-regulated learning (SRL) in the context of a secondary mathematics class. The teacher's scaffolding provided students with multiple opportunities to use feedback and adapt learning and study strategies. Data compared pre- and post-measures of metacognitive skills,…
Descriptors: Low Achievement, Secondary School Students, Secondary School Mathematics, Mathematics Instruction
Ali Eissa Saad, Mourad – Online Submission, 2020
This study aimed to investigate the combined effects of Self-Regulated Learning (SRL) and Academic Procrastination (AP) on Smartphone Addiction (SA). It also aimed at investigating the relative contribution of SRL and academic procrastination to SA among second year-middle school learning disabled students. Moreover, it sought to explore if there…
Descriptors: Middle School Students, Learning Disabilities, Metacognition, Addictive Behavior
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Manzuoli, Cristina Hennig; Pineda-Báez, Clelia; Sánchez, Ana D. Vargas – International Education Studies, 2019
School engagement is a key factor in maintaining school attendance and in diminishing dropout rates. In this study, four dimensions that compose school engagement--cognitive, affective, behavioral, and agentic--were evaluated with a self-report questionnaire (Veiga, 2013), and comparisons between rural and urban schools were made. A total of 802…
Descriptors: Grade 7, Foreign Countries, Learner Engagement, Affective Behavior
Deutsch, Nancy L.; Reitz-Krueger, Cristina L.; Henneberger, Angela K.; Futch Ehrlich, Valerie A.; Lawrence, Edith C. – Journal of Adolescent Research, 2017
Group mentoring is an increasingly popular intervention, but is still under-studied. This article reports findings from a qualitative study of the Young Women Leaders Program (YWLP), a combined group and one-on-one mentoring program for early adolescent girls. Protégés (n = 113) were interviewed post-program about changes they made as a result of…
Descriptors: Problem Solving, Mentors, Study Habits, Females
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Boyle, Joseph R.; Rosen, Sonia M.; Forchelli, Gina – Education 3-13, 2016
This mixed-methods study analysed over 200 interviews from 20 seventh-grade students with learning disabilities (LD). Students were instructed how to use a note-taking intervention during science lectures. The interview analyses were supported by pre- and post-intervention quantitative data. Data suggest that the intervention helped students…
Descriptors: Mixed Methods Research, Metacognition, Notetaking, Learning Disabilities
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Pracana, Clara, Ed.; Wang, Michael, Ed. – Online Submission, 2017
We are delighted to welcome you to the International Psychological Applications Conference and Trends (InPACT) 2017, taking place in Budapest, Hungary, from 29 of April to 1 of May, 2017. Modern psychology offers a large range of scientific fields where it can be applied. The goal of understanding individuals and groups (mental functions and…
Descriptors: Educational Psychology, Anxiety, Cognitive Restructuring, Outcomes of Treatment
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use