The Gender Equation in Schools
The Gender Equation in Schools

Author: Jason Ablin

Publisher: Routledge

Published: 2022-06-15

Total Pages: 263

ISBN-13: 1000585867

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This compelling book takes you inside a teacher’s journey to explore the question of gender in education. Jason Ablin uses his background in math teaching, school leadership, and neuroscience to present expert interviews, research, and anecdotes about gender bias in schools and how it impacts our best efforts to educate children. He provides practical takeaways on how teachers and leaders can do better for students. There is also a handy Appendix with step-by-step guides for facilitating faculty-wide conversations around gender; writing learning reports without gender bias; using student assessments to check gendered attitudes about learning; evaluating learning spaces; and creating an inquiry map of your classroom. As a teacher, administrator, DEI director, or homeschooling parent, with the strategies and stories in this book, you’ll be ready to embark upon your own journey to balance the gender equation and create greater equity for all of your students.

The Gender Equation in Schools
The Gender Equation in Schools

Author: Jason Ablin

Publisher: Routledge

Published: 2022-06-16

Total Pages: 314

ISBN-13: 1000585883

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This compelling book takes you inside a teacher’s journey to explore the question of gender in education. Jason Ablin uses his background in math teaching, school leadership, and neuroscience to present expert interviews, research, and anecdotes about gender bias in schools and how it impacts our best efforts to educate children. He provides practical takeaways on how teachers and leaders can do better for students. There is also a handy Appendix with step-by-step guides for facilitating faculty-wide conversations around gender; writing learning reports without gender bias; using student assessments to check gendered attitudes about learning; evaluating learning spaces; and creating an inquiry map of your classroom. As a teacher, administrator, DEI director, or homeschooling parent, with the strategies and stories in this book, you’ll be ready to embark upon your own journey to balance the gender equation and create greater equity for all of your students.

Bringing Math Students Into the Formative Assessment Equation
Bringing Math Students Into the Formative Assessment Equation

Author: Susan Janssen Creighton

Publisher: Corwin Press

Published: 2015-01-21

Total Pages: 222

ISBN-13: 1483385965

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Make formative assessment work for you—and your math students! Finally, formative assessment that adds up! Bringing Math Students Into the Formative Assessment Equation is the ultimate resource for helping teachers implement formative assessment in the middle school mathematics classroom. And it’s much more than that. With this research-based, teacher-tested guide, you won’t just learn effective teaching strategies—you’ll turn your students into self-regulated learners. They’ll monitor and assess their own progress—and communicate to you about it! Features include: A clear and manageable six-aspect instructional model Detailed strategies for helping students own their successes Real-life examples from middle school mathematics teachers Useful resources and a companion website to help you implement formative assessment in your classroom Formative assessment isn’t just for teachers anymore. With the help of this essential resource, you’ll work together with your students toward a common goal of math success. "This book is outstanding. I would recommend it to any math educator. The depth of research integrated into practice is extensive and, as a result, it is the most practical book I have come across related to formative assessment and mathematics The self-regulation aspects, as well as the ownership and involvement emphasized in the book, went beyond the traditional cognitive strategies endorsed in most books." Marc Simmons, Principal Ilwaco Middle School, Ocean Beach School District, Long Beach, WA "The ideas in this book are brought to life with examples of teachers and students in the classroom. The teacher voices, comments, and quotes lend credibility and are a big component of the book’s strengths as well as the visuals and graphics." Rita Tellez, Math Coordinator Ysleta Independent School District, El Paso, TX

School Effects on Educational Achievement in Mathematics and Science, 1985-86
School Effects on Educational Achievement in Mathematics and Science, 1985-86

Author: Carolyn L. Arnold

Publisher: Department of Education Office of Educational

Published: 1992

Total Pages: 132

ISBN-13:

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This report examines the effects of both student and school characteristics on mathematics and science achievement levels in the third, seventh, and eleventh grades using data from the 1985-86 National Assessment of Educational Progress (NAEP). Analyses feature hierarchical linear models (HLM), a regression-like statistical technique that addresses the problem of students nested within schools by directly modeling within- and between-schools variation in achievement. Additionally, HLM allows examination of the impact of school characteristics on the relationship between student characteristics and achievement within schools. Following an executive summary, this report contains: (1) an introduction including information on the background and purpose of the study, a description of data sources and variables used in the analyses, and an outline of the methodological approach utilized; (2) a summary of the effects of school characteristics on mathematics achievement for each of the three grades with respect to the within-school model and the five between-school models; (3) a summary of the effects of school characteristics on science achievement for each of the three grades with respect to the within-school model and the five between-school models, enlarged with a comparison of mathematics and science results; (4) an extensive discussion of the findings in relation to methodological goals, grade level differences, school size, disassociation of socio-economic influences from race-ethnicity, tracking, gender differences, and teacher characteristics; and (5) appendices that include technical notes for the variables and the HLM methodology, descriptive statistics for selected characteristics, and supporting tables for the HLM results. In general, the school characteristics examined in the analyses provided better explanations for average achievement between schools than they did for the effects of gender, race-ethnicity, and socioeconomic status on achievement. (JJK)

Cracking the code
Cracking the code

Author: UNESCO

Publisher: UNESCO Publishing

Published: 2017-09-04

Total Pages: 82

ISBN-13: 9231002333

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This report aims to 'crack the code' by deciphering the factors that hinder and facilitate girls' and women's participation, achievement and continuation in science, technology, engineering and mathematics (STEM) education and, in particular, what the education sector can do to promote girls' and women's interest in and engagement with STEM education and ultimately STEM careers.

Teaching Women's and Gender Studies
Teaching Women's and Gender Studies

Author: Kathryn Fishman-Weaver

Publisher: Taylor & Francis

Published: 2022-11-16

Total Pages: 199

ISBN-13: 1000779718

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Incorporate women’s and gender studies into your high school classroom using the powerful lesson plans in this book. The authors present seven units organized around four key concepts: Why WGST; Intersectionality; Motherland—History, Health, and Policy Change; and Artivism. With thought questions for activating prior knowledge, teaching notes, reflection questions, reproducibles, and strategies, these units are ready to integrate purposefully into your existing classroom practice. Across various subject areas and interdisciplinary courses, these lessons help to fill a critical gap in the curriculum. Through affirming, inclusive, and representative projects, this book offers actionable ways to encourage and support young people as they become changemakers for justice. This book is part of a series on teaching Women’s and Gender Studies in the K-12 classroom. We encourage readers to also check out the middle school edition.

The Effect of Education System and School Characteristics on the Gender Gap in Competencies
The Effect of Education System and School Characteristics on the Gender Gap in Competencies

Author: Laura Zapfe

Publisher: Springer Nature

Published: 2023-11-30

Total Pages: 208

ISBN-13: 365843323X

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Laura Zapfe’s aim is to explain how education system and school characteristics affect the gender gap in mathematics and reading competencies. She adapts the macro-meso-micro model. At the micro level, she uses theories, e.g., gender-specific socialization, highlighting how gender-specific expectations and stereotypes cause gendered interest and skills and therefore gender differences in mathematics and reading. Deriving a macro-meso-micro link, she explains how education system characteristics such as competition, differentiation, and standardization, and school characteristics could increase or decrease the gender-specific socialization effects, leading to larger or smaller gender gaps in mathematics and reading competencies. On this basis, she performs a cross-national comparison of 78 countries participating in the Programme for International Student Assessment (PISA) 2018, combined with further researched macro data with three-level mixed-effects models. The results show that boys have an advantage in mathematics, girls have an advantage in reading, the gender effects are slightly higher for reading, and the gender effects at the school level are more pronounced than those at the country level.

Failing at Fairness
Failing at Fairness

Author: Myra Sadker

Publisher: Simon and Schuster

Published: 2010-05-11

Total Pages: 372

ISBN-13: 1439125236

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Failing at Fairness, the result of two decades of research, shows how gender bias makes it impossible for girls to receive an education equal to that given to boys. Girls' learning problems are not identified as often as boys' are Boys receive more of their teachers' attention Girls start school testing higher in every academic subject, yet graduate from high school scoring 50 points lower than boys on the SAT Hard-hitting and eye-opening, Failing at Fairness should be read by every parent, especially those with daughters.

Quality Research in Literacy and Science Education
Quality Research in Literacy and Science Education

Author: Mack C. Shelley

Publisher: Springer Science & Business Media

Published: 2008-12-30

Total Pages: 667

ISBN-13: 1402084277

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Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.