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Showing 1 to 15 of 30 results Save | Export
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Boote, Stacy K.; Boote, David N. – Elementary School Journal, 2017
Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…
Descriptors: Elementary School Mathematics, Elementary School Students, Middle School Students, Grade 6
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Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Bush, Sarah B.; Albanese, Judith; Karp, Karen S. – Mathematics Teaching in the Middle School, 2016
Historically, some baby names have been more popular during a specific time span, whereas other names are considered timeless. The Internet article, "How to Tell Someone's Age When All You Know Is Her Name" (Silver and McCann 2014), describes the phenomenon of the rise and fall of name popularity, which served as a catalyst for the…
Descriptors: Mathematics Instruction, Grade 6, Prediction, Data Collection
Pallavi Amitava Banerjee – Sage Research Methods Cases, 2017
This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…
Descriptors: Evidence Based Practice, Educational Policy, Data, Educational Practices
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Delen, Ibrahim; Krajcik, Joseph – International Journal of Science Education, 2015
Explanation studies underlined the importance of using evidence in support of claims. However, few studies have focused on students' use of others' data (second-hand data) in this process. In this study, students collected data from a local water source and then took all the data back to the classroom to create scientific explanations by using…
Descriptors: Secondary School Science, Middle School Students, Grade 6, Science Process Skills
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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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Bush, Sarah B.; Karp, Karen S.; Albanese, Judy; Dillon, Fred – Mathematics Teaching in the Middle School, 2014
What better way to interest students in mathematics than using a Super Bowl® commercial? A Prudential® insurance commercial aired during the Super Bowl in 2013 was the impetus for this lesson (see it here on You-Tube™: http://www.youtube.com/ watch?v=IsNiKGMSHUQ). In the commercial, four hundred people were polled on "How Old Is the Oldest…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Middle School Students, Grade 6
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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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Svihla, Vanessa; Wester, Michael J.; Linn, Marcia C. – Journal of Learning Analytics, 2015
Designing learning experiences that support the development of coherent understanding of complex scientific phenomena is challenging. We sought to identify analytics that can also guide such designs to support retention of coherent understanding. Based on prior research that distributing study of material over time supports retention, we explored…
Descriptors: Science Education, Pretests Posttests, Inquiry, Multiple Regression Analysis
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Jansen in de Wal, Joost; Hornstra, Lisette; Prins, Frans J.; Peetsma, Thea; van der Veen, Ineke – Educational Psychology, 2016
This study's aim was to examine the prevalence, development and domain specificity of fifth- and sixth-grade elementary school students' achievement goal profiles. Achievement goals were measured for language and mathematics among 722 pupils at three points in time. These data were analysed through latent profile analysis and latent transition…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Grade 6
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Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
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Vig, Rozy; Taylor, Megan W.; Star, Jon R.; Chao, Theodore – Society for Research on Educational Effectiveness, 2014
The concept of "implementation fidelity" is broadly used to capture the extent to which an intervention is executed as intended by the designers of the intervention (Century, Rudnick, & Freeman, 2010; Huntley, 2005, McNaught, Tarr, & Sears, 2010, Munter, 2010). Though implementation fidelity instruments are often used to assess…
Descriptors: Fidelity, Program Implementation, Barriers, Intervention
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Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
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Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation
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Jobe-Shields, Lisa; Cohen, Robert; Parra, Gilbert R. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2011
Latent growth-mixture modeling was used to investigate patterns of change in loneliness for 170 children from third through fifth grades. A three-class model representing unique trajectories of loneliness provided the best overall fit to the data, including a Stable Low group (65%), as well as groups of Increasers (23%) and Decreasers (12%).…
Descriptors: Grades (Scholastic), Peer Relationship, Grade 3, Victims of Crime
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