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Karen Hemming; Stefan Hofherr; Sabine Hartig – International Journal for Research on Extended Education, 2023
Organized leisure activities are an important component of learning with a great potential for positive youth development. The available research has grown in the past decade but is still lacking differentiated analysis of specific activity determinants and longitudinal designs. Based on retrospectively collected quantitative data (n=1,547) at the…
Descriptors: Secondary School Students, Grade 9, Grade 10, Student Participation
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Seyhan Eryilmaz Toksoy; Emine Bulut – Journal of Science Education and Technology, 2025
In this research, it was aimed to determine the effect of Simulation-Supported Prediction Observation Explanation (SSPOE) activities related to solid and liquid pressure on the conceptions of learning physics of 10th grade students. In the research, a quasi-experimental design with pretest-posttest control group, which is one of the quantitative…
Descriptors: Simulation, Prediction, Observation, Student Attitudes
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Anna K. Nishen; Hannah Streck; Ursula Kessels; Ricarda Steinmayr – Journal of Educational Psychology, 2024
Educational science has consistently examined what drives adolescents to aspire to occupations in math-related fields -- and which factors, such as gender stereotypes, may drive them away. In this study, we utilized a large longitudinal data set (N = 1,092) to test whether past grades, gender, and the math level of mothers' and fathers'…
Descriptors: Prediction, Occupational Aspiration, Mathematics Achievement, Grades (Scholastic)
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Qian Huangfu; Zhouying Luo; Ying Cao; Weijia Wu – Chemistry Education Research and Practice, 2023
Errors are natural elements of the learning process and provide a high potential to promote students' learning outcomes. In recent years, there has been much research about learning from errors. However, we know little about the relationship between students' error beliefs in chemistry and chemistry learning outcomes at present. Thus, the aim of…
Descriptors: Error Patterns, Learning Processes, Chemistry, Science Instruction
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Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
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Monjaras-Gaytan, Lidia Y.; Sánchez, Bernadette; Smith Carter, Jocelyn – Applied Developmental Science, 2022
Mentoring is one avenue to support Latinx adolescents in their positive development. The current study examined the roles of stressors and interpersonal trust toward adults in the formation and quality (instrumental and relational) of natural mentoring relationships. Participants were 347 Latinx adolescents who were surveyed in the 9th and 10th…
Descriptors: Mentors, Trust (Psychology), Stress Variables, Intervention
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Guo, Xipei; Deng, Wenbo; Hu, Kaifu; Lei, Weina; Xiang, Shuoqi; Hu, Weiping – Chemistry Education Research and Practice, 2022
With the urgent goal of increasing student retention within science, technology, engineering, and mathematics (STEM) fields, STEM identity is highlighted as a powerful source of student persistence. Since chemistry is an important part of the STEM discipline, a growing body of research has focused on chemistry identity. However, we currently know…
Descriptors: Chemistry, Metacognition, Science Education, Self Concept
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May, Emily M.; Witherspoon, Dawn P. – Child Development, 2022
Although research has established that school adjustment is associated with marijuana use (MU) in adolescence, few studies have tested these associations bidirectionally. Using random intercepts cross-lagged panel modeling, this study examined reciprocal associations between MU and school adjustment across 8th to 10th grade, including the…
Descriptors: Marijuana, Drug Use, Student Adjustment, High School Students
Jason Williamson – ProQuest LLC, 2019
Arkansas adopted the ACT ASPIRE as their summative assessment in 2015. ACT ASPIRE claimed their assessment results could accurately predict the composite scores on the ACT. The purpose of this study was to determine the relationship between students' scores on the ACT ASPIRE and the ACT for students in the Star City School District, as well as…
Descriptors: Achievement Tests, College Entrance Examinations, Prediction, Grade 11
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Samsudin, Achmad; Afif, Nur Faadhilah; Nugraha, Muhamad Gina; Suhandi, Andi; Fratiwi, Nuzulira Janeusse; Aminudin, Adam Hadiana; Adimayuda, Rizal; Linuwih, Suharto; Costu, Bayram – Journal of Turkish Science Education, 2021
This study aimed to expand PDEODE*E Tasks with the Think-Pair-Share model for reconstructing students' misconceptions on work and energy. The PDEODE*E Tasks with Think-Pair-Share model implemented for students who had not taught the concept of work and energy. The participants include 36 students of tenth grade (22 girls and 14 boys, whose ages…
Descriptors: Science Instruction, Scientific Concepts, Misconceptions, Energy
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Fitriani, Apriza; Zubaidah, Siti; Susilo, Herawati; Al Muhdhar, Mimien Henie Irawati – Eurasian Journal of Educational Research, 2020
Purpose: This study aimed to investigate the potential effects of problem-based learning (PBL), predict observe explain (POE), and PBLPOE on students' problem-solving skills and self-efficacy in Biology. This research is based on various facts that problem-solving skills and self-efficacy of Indonesian students in biology subjects are still low.…
Descriptors: Problem Based Learning, Problem Solving, Self Efficacy, Prediction
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Cynthia J. Murphy; Siffat A. Sharmin; Hsien-Yuan Hsu – Journal of Education for Students Placed at Risk, 2024
Although studies have investigated educational attainment of groups of students professing low and high educational self-expectations, groups of noncommittal students, rather than being studied as a discrete group, have been treated as missing and ignored. This study investigated the differences between students of noncommittal, low, and high…
Descriptors: Grade 10, Educational Attainment, Hispanic American Students, African American Students
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
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Chiu, Mei-Hung; Liaw, Hongming Leonard; Yu, Yuh-Ru; Chou, Chin-Cheng – British Journal of Educational Technology, 2019
Utilizing facial recognition technology, the current study has attempted to predict the likelihood of student conceptual change with decision tree models based on the facial micro-expression states (FMES) students exhibited when they experience conceptual conflict. While conceptual change through conceptual conflicts in science education is a…
Descriptors: Science Education, Scientific Concepts, Concept Formation, Grade 10
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Yagci, Ali; Çevik, Mustafa – Education and Information Technologies, 2019
This study aims to predict the academic achievements of Turkish and Malaysian vocational and technical high school (VTS) students in science courses (physics, chemistry and biology) through artificial neural networks (ANN) and to put forth the measures to be taken against their failure. The study population consisted of 10th and 11th grade 922 VTS…
Descriptors: Prediction, Academic Achievement, Technical Education, Vocational High Schools
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