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Showing 1 to 15 of 137 results Save | Export
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Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
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Lee, Silvia Wen-Yu; Tu, Hsing-Ying; Chen, Guang-Lin; Lin, Hung-Ming – International Journal of STEM Education, 2023
Background: There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed…
Descriptors: Grade 8, Middle School Students, High School Students, Mathematics Education
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Marjokorpi, Jenni – Reading and Writing: An Interdisciplinary Journal, 2023
Previous studies have indicated that students' writing skills benefit from contextualized L1 grammar teaching, in which language structures are observed and analyzed in authentic texts and as embedded into teaching of reading and writing. The contextualized approach is also promoted by the current Finnish curriculum for basic education. This study…
Descriptors: Grammar, Writing Skills, Finno Ugric Languages, Secondary School Students
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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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Ben Le; Kristin E. Black; Coleen Carlson; Jeremy Miciak; Lindsay Romano; David Francis; Michael J. Kieffer – Grantee Submission, 2024
This brief analyzes 4-year graduation rates among students ever classified as English learners (ever-ELs) and those never classified as English learners (never-ELs) at the intersections of gender, race/ethnicity, and neighborhood income. We follow two cohorts of New York City students who entered ninth grade in 2013-2014 and 2014-2015 (N =…
Descriptors: Intersectionality, Graduation Rate, English Language Learners, Race
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Ben Le; Kristin E. Black; Coleen Carlson; Jeremy Miciak; Lindsay Romano; David Francis; Michael J. Kieffer – Educational Researcher, 2024
This brief analyzes 4-year graduation rates among students ever classified as English learners (ever-ELs) and those never classified as English learners (never-ELs) at the intersections of gender, race/ethnicity, and neighborhood income. We follow two cohorts of New York City students who entered ninth grade in 2013-2014 and 2014-2015 (N =…
Descriptors: Intersectionality, Graduation Rate, English Language Learners, Race
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Prempree Duangpummet; Supan Yodyingyong; Pirom Chenprakhon – Journal of Chemical Education, 2022
A simple inquiry-based activity called "Fruit Puzzle" was designed to investigate high school students' understanding of the relationship between the concepts of density and solution concentration at a submicroscopic level. The first activity allowed students to predict whether five types of fruit would sink or float in water and asked…
Descriptors: Puzzles, Active Learning, Inquiry, Scientific Concepts
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Brian Holzman; Bethany Lewis; Hao Ma – Houston Education Research Consortium, 2024
This brief examines which students in the Houston Independent School District (HISD) are more likely to earn the STEM endorsement and whether STEM endorsement completion predicts college enrollment. Analyses show that gender, STEM magnet program enrollment, and cumulative high school grade point average (GPA) predict STEM endorsement completion.…
Descriptors: STEM Education, Prediction, College Enrollment, Gender Differences
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Phusee-orn, Songsak; Pongteerawut, Sasipat – Higher Education Studies, 2022
The objectives of this study are to study the relation of futuristic thinking and to create the prediction equation of the 9th graders' relation of futuristic thinking. The subjects of this study are 860, 9th graders, studying in their second term in 2019 in Srisaket province, Thailand. The sujects of this study are from 12 schools from…
Descriptors: Grade 9, High School Students, Futures (of Society), Thinking Skills
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Zheng, Juan; Xing, Wanli; Huang, Xudong; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Research on self-regulated learning (SRL) in engineering design is growing. While SRL is an effective way of learning, however, not all learners can regulate themselves successfully. There is a lack of research regarding how student characteristics, such as science knowledge and design knowledge, interact with SRL. Adapting the SRL theory in the…
Descriptors: Engineering Education, Achievement Gains, Knowledge Level, Learning Strategies
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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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Julia Jensen; Olaf Köller; Friederike Zimmermann – Journal of Early Adolescence, 2024
This study examined whether adolescent students' externalizing behavior and prosocial behavior affects their academic achievement (i.e., school grades and standardized test scores) in two major academic domains (i.e., mathematics and German) over and above well-established determinants of school achievement (i.e., prior achievement, intelligence,…
Descriptors: Antisocial Behavior, Prosocial Behavior, Academic Achievement, Prediction
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Tsai, Meng-Jung; Liang, Jyh-Chong; Lee, Silvia Wen-Yu; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2022
A prior study developed the Computational Thinking Scale (CTS) for assessing individuals' computational thinking dispositions in five dimensions: decomposition, abstraction, algorithmic thinking, evaluation, and generalization. This study proposed the Developmental Model of Computational Thinking through validating the structural relationships…
Descriptors: Thinking Skills, Problem Solving, Computation, Models
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Bowers, Alex J.; Zhao, Yihan; Ho, Eric – High School Journal, 2022
Research on data use and school Early Warning Systems (EWS) notes a central practice of researchers and practitioners is to search for patterns in student data to predict outcomes so schools can support success when students experience challenges. Yet, the domain lacks a means to visualize the rich longitudinal data that schools collect. Here, we…
Descriptors: Learning Analytics, Visual Aids, Student Records, Longitudinal Studies
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Zorlu, Sinan; Ünver, Gülsen – Turkish Journal of Education, 2022
The self-regulation and self-efficacy beliefs have a major effect on English language learning achievement. This study examines if self-regulatory learning strategies and English self-efficacy beliefs significantly predicted learning achievement in learning English. 542 ninth grade students studying at ten different Vocational and Technical…
Descriptors: Prediction, Learning Strategies, Self Efficacy, Student Attitudes
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