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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Cross Francis, Dionne I.; Hudson, Rick A.; Lee, Mi Yeon; Rapacki, Lauren; Vesperman, Crystal Marie – Teaching Children Mathematics, 2014
Statistical literacy is essential in everyone's personal lives as consumers, citizens, and professionals. To make informed life and professional decisions, students are required to read, understand, and interpret vast amounts of information, much of which is quantitative. To develop statistical literacy so students are able to make sense of…
Descriptors: Mathematics Instruction, Statistics, Mathematical Logic, Problem Solving
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Dogru, Mustafa; Sarac, Esra – Educational Research and Reviews, 2013
The purpose of this study is to reveal the metaphors of primary school students (n = 362) relating to the concept of global warming. Data collected by completing the expression of "global warming is like..., because..." of the students were analysed by use of qualitative and quantitative data analysis techniques. According to findings of…
Descriptors: Elementary School Students, Environmental Education, Data Collection, Figurative Language
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Skluzacek, Joanna M.; Harper, Joshua; Herron, Emily; Bortiatynski, Jacqueline M. – Journal of Chemical Education, 2010
Action Potential Science Experience (APSE) is a five-day summer camp offering science opportunities for K-8 students. The focus of the APSE curriculum is to teach science concepts and methods while challenging the participants to solve an overarching problem from the popular-culture context. The participants in the APSE entitled Burger 'N Fries…
Descriptors: Popular Culture, Chemistry, Boards of Education, Nutrition
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Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
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Wu, Hsin-Kai; Hsieh, Chou-En – International Journal of Science Education, 2006
The purpose of this study is to investigate how sixth graders develop inquiry skills to construct explanations in an inquiry-based learning environment. We designed a series of inquiry-based learning activities and identified four inquiry skills that are relevant to students' construction of explanation. These skills include skills to identify…
Descriptors: Inquiry, Science Process Skills, Grade 6, Learning Activities
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Graham, Sandra; Bellmore, Amy D.; Mize, Jennifer – Journal of Abnormal Child Psychology, 2006
An ethnically diverse sample of 6th-grade students completed peer nomination procedures that were used to create subgroups of students with reputations as victims, aggressors, aggressive victims, and socially adjusted (neither aggressive nor victimized). Self-report data on psychological adjustment, attributions for peer harassment, and perceived…
Descriptors: Aggression, Student Adjustment, Grade 6, Peer Groups
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection