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Kuzniak, Alain; Nechache, Assia; Drouhard, J. P. – ZDM: The International Journal on Mathematics Education, 2016
According to our approach to mathematics education, the optimal aim of the teaching of mathematics is to assist students in achieving efficient mathematical work. But, what does efficient exactly mean in that case? And how can teachers reach this objective? The model of Mathematical Working Spaces with its three dimensions--semiotic, instrumental,…
Descriptors: Mathematics Education, Teaching Methods, Grade 9, Grade 10
Regional Educational Laboratory Northeast & Islands, 2021
This Study Snapshot highlights key findings where the Rhode Island Department of Education, the Rhode Island Office of the Postsecondary Commissioner, and state legislators sought evidence of the effects of state-funded programs for students to earn college credit during high school. Using data on the 2013/14 statewide grade 9 cohort, this…
Descriptors: Acceleration (Education), Dual Enrollment, Advanced Placement Programs, High School Students
Goodwin, Chris; Ortiz, Enrique – Mathematics Teaching in the Middle School, 2015
Modeling using mathematics and making inferences about mathematical situations are becoming more prevalent in most fields of study. Descriptive statistics cannot be used to generalize about a population or make predictions of what can occur. Instead, inference must be used. Simulation and sampling are essential in building a foundation for…
Descriptors: Mathematics Instruction, Models, Inferences, Simulation
Northwest Evaluation Association, 2016
This guide was created as a resource to help families better understand "Measures of Academic Progress"® (MAP®), and their child's results. The guide provides answers to a variety of questions such as: "What is MAP?"; "What does MAP measure?"; "How do schools and teachers use MAP scores?"; "Can MAP tell…
Descriptors: Scores, Academic Achievement, Achievement Tests, Reading Achievement
Carl, Bradley; Richardson, Jed T.; Cheng, Emily; Kim, HeeJin; Meyer, Robert H. – Journal of Education for Students Placed at Risk, 2013
This article describes the development of early warning indicators for high school and beyond in the Milwaukee Public Schools (MPS) by the Value-Added Research Center (VARC) at the University of Wisconsin-Madison, working in conjunction with staff from the Division of Research and Evaluation at MPS. Our work in MPS builds on prior early warning…
Descriptors: High Schools, Public Schools, School Districts, Urban Education
Kennis, James R. – Mathematics Teacher, 2009
This article examines some of the various judgmental errors and rationales that high school students make when attempting to solve basic probability exercises. Many of these errors allow the students to arrive at a correct answer and, thus, need to be examined more closely. (Contains 4 tables.)
Descriptors: Probability, High School Students, Mathematics Instruction, Thinking Skills
Common Core State Standards Initiative, 2011
For over a decade, research studies of mathematics education in high-performing countries have pointed to the conclusion that the mathematics curriculum in the United States must become substantially more focused and coherent in order to improve mathematics achievement in this country. To deliver on the promise of common standards, the standards…
Descriptors: Mathematics Curriculum, Mathematics Education, State Standards, Mathematics Achievement
Zimmer, Ron; Gill, Brian; Booker, Kevin; Lavertu, Stephane; Sass, Tim R.; Witte, John – RAND Corporation, 2009
The first U.S. charter school opened in 1992, and the scale of the charter movement has since grown to 4,000 schools and more than a million students in 40 states plus the District of Columbia. With this growth has also come a contentious debate about the effects of the schools on their own students and on students in nearby traditional public…
Descriptors: Charter Schools, Research Methodology, Probability, Student Characteristics