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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Haara, Frode Olav – European Journal of Science and Mathematics Education, 2022
This article reports on how a pedagogical entrepreneurship approach combined with fundamental elements of mathematical modelling may be used to strengthen students' development of mathematical literacy in upper primary school. This is done first through a review of the relationship between pedagogical entrepreneurship in mathematics, mathematical…
Descriptors: Mathematical Models, Entrepreneurship, Mathematics Instruction, Knowledge Level
Donlin, Mike – Washington Office of Superintendent of Public Instruction, 2019
In 2007, the Legislature passed Senate Bill 5097, which required the Office of Superintendent of Public Instruction (OSPI) to convene a task force to examine how gangs are affecting school safety. The task force must annually report its findings and recommendations to the education committees of the Legislature. The Gangs in Schools Task Force…
Descriptors: Juvenile Gangs, Federal Legislation, School Safety, Intervention
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
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
Cronin, John; Jensen, Nate; Wise, Steve – Phi Delta Kappan, 2016
In 2012, New York education officials and the state's teachers union announced one of the nation's most aggressive programs for teacher and principal evaluation--the Annual Professional Performance Review system (APPR)--which required that 40% of an educator's evaluation be based on student growth, using a combination of the state assessment and…
Descriptors: Evaluation Methods, Teacher Evaluation, Achievement Gains, Data Collection
New York State Education Department, 2018
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2018 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
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
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
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
Schnell, Susanne – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This paper contributes to the discourse in stochastic education of how young students deal with learning settings that allow a data-based approach to probability. By using the micro-structure of arguments by Toulmin (1958), it explores which arguments students use and which role they play in the learning process. The data stems from design…
Descriptors: Probability, Persuasive Discourse, Experiments, Inferences
New York State Education Department, 2017
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2017 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
Martin, Caitlin K.; Nacu, Denise; Pinkard, Nichole – Journal of Learning Analytics, 2016
Online environments can cultivate what have been referred to as 21st century skills and capabilities, as youth contribute, pursue, share, and interact around work and ideas. Such environments also hold great potential for addressing digital divides related to the development of such skills by connecting youth in areas with fewer resources and…
Descriptors: Data Collection, Data Interpretation, Creativity, Socialization
Knezek, Gerald; Christensen, Rhonda; Tyler-Wood, Tandra; Gibson, David – Journal of STEM Education: Innovations and Research, 2015
Data gathered from 325 middle school students in four U.S. states indicate that both male (p < 0.0005, RSQ = 0.33) and female (p < 0.0005, RSQ = 0.36) career aspirations for "being a scientist" are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For…
Descriptors: Middle School Students, Gender Differences, STEM Education, Occupational Aspiration
Genao, Soribel – Education and Urban Society, 2015
Students across the nation are encountering more and more difficulties in their transition to high school. Not only are a significant number of students dropping out, but those who stay are also leaving high school without the skills they need to become productive citizens. Several intervention strategies are recommended to help students make a…
Descriptors: Data Collection, Middle School Students, High School Students, Principals