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Multi-Dimensional Education

Multi-Dimensional Education
Author: Michael W. Corrigan
Publisher: Corwin Press
Total Pages: 321
Release: 2011-06-13
Genre: Education
ISBN: 1412992591

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'In an evidence-driven era, gathering comprehensive data will enable schools to meet their academic goals and to engage in a holistic approach to education.'ùAvis Glaze, PresidentEdu-Quest International Inc., Valhalla, NY'The challenges facing educators today are immense and the pressure to 'perform' is clearly evident. This book provides a fresh and compelling argument to look far beyond test score 'performance' when measuring success in our schools.'ùKurt Suhr, PrincipalNewport Heights Elementary School, Newport Beach, CAA comprehensive guide to data-driven school improvementSchools arenÆt one-dimensional. Your decision making shouldnÆt be either. If you want to look beyond student test scores to identify the specific areas that need improvement in your school, you will find practical tools for assessing multiple areas with confidence here. The authors detail a step-by-step framework for identifying, collecting, analyzing, and using data as a basis for driving school improvement in the right direction. Based on more than 40 years of research, this seven-dimension model will help enhance your schoolÆs curriculum, community, climate and character by applying data to these key processes:Assessing student achievementModifying instruction based on data findingsImproving school performanceRetaining effective teachersThe result is a holistic and accurate instrument for making the changes needed to improve student learning. Included are assessment tools, process charts, graphic organizers, rubrics, tables, numerous examples, and background research.


Multi-Dimensional Education: A Common Sense Approach to Data-Driven Thinking

Multi-Dimensional Education: A Common Sense Approach to Data-Driven Thinking
Author: Michael W. Corrigan
Publisher:
Total Pages: 320
Release: 2011
Genre: Educational evaluation
ISBN: 9781299396265

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Schools aren't one dimensional. Your decision making shouldn't be either. If you want to look beyond student test scores to identify the specific areas that need improvement in your school, you will find practical tools for assessing multiple areas with confidence here. The authors detail a step-by-step framework for identifying, collecting, analyzing, and using data as a basis for driving school improvement in the right direction. Based on more than 40 years of research, this seven-dimensional model will help enhance your school's curriculum, community, climate, and character by applying data to these key processes: (1) Assessing student achievement; (2) Modifying instruction based on data findings; (3) Improving school performance; and (4) Retaining effective teachers. The result is a holistic and accurate instrument for making the changes needed to improve student learning. Included are assessment tools, process charts, graphic organizers, rubrics, tables, numerous examples, and background research. An index is included.


Multi-Dimensional Education

Multi-Dimensional Education
Author: Michael W. Corrigan
Publisher: Corwin Press
Total Pages: 321
Release: 2011-06-13
Genre: Education
ISBN: 1452269289

Download Multi-Dimensional Education Book in PDF, ePub and Kindle

"In an evidence-driven era, gathering comprehensive data will enable schools to meet their academic goals and to engage in a holistic approach to education." —Avis Glaze, President Edu-Quest International Inc., Valhalla, NY "The challenges facing educators today are immense and the pressure to ′perform′ is clearly evident. This book provides a fresh and compelling argument to look far beyond test score performance when measuring success in our schools." —Kurt Suhr, Principal Newport Heights Elementary School, Newport Beach, CA A comprehensive guide to data-driven school improvement Schools aren′t one dimensional. Your decision making shouldn′t be either. If you want to look beyond student test scores to identify the specific areas that need improvement in your school, you will find practical tools for assessing multiple areas with confidence here. The authors detail a step-by-step framework for identifying, collecting, analyzing, and using data as a basis for driving school improvement in the right direction. Based on more than 40 years of research, this seven-dimensional model will help enhance your school′s curriculum, community, climate, and character by applying data to these key processes: Assessing student achievement Modifying instruction based on data findings Improving school performance Retaining effective teachers The result is a holistic and accurate instrument for making the changes needed to improve student learning. Included are assessment tools, process charts, graphic organizers, rubrics, tables, numerous examples, and background research.


Street Data

Street Data
Author: Shane Safir
Publisher: Corwin
Total Pages: 281
Release: 2021-02-12
Genre: Education
ISBN: 1071812661

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Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.


Don't Make Me Think

Don't Make Me Think
Author: Steve Krug
Publisher: Pearson Education
Total Pages: 325
Release: 2009-08-05
Genre: Computers
ISBN: 0321648781

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Five years and more than 100,000 copies after it was first published, it's hard to imagine anyone working in Web design who hasn't read Steve Krug's "instant classic" on Web usability, but people are still discovering it every day. In this second edition, Steve adds three new chapters in the same style as the original: wry and entertaining, yet loaded with insights and practical advice for novice and veteran alike. Don't be surprised if it completely changes the way you think about Web design. Three New Chapters! Usability as common courtesy -- Why people really leave Web sites Web Accessibility, CSS, and you -- Making sites usable and accessible Help! My boss wants me to ______. -- Surviving executive design whims "I thought usability was the enemy of design until I read the first edition of this book. Don't Make Me Think! showed me how to put myself in the position of the person who uses my site. After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book. In this second edition, Steve Krug adds essential ammunition for those whose bosses, clients, stakeholders, and marketing managers insist on doing the wrong thing. If you design, write, program, own, or manage Web sites, you must read this book." -- Jeffrey Zeldman, author of Designing with Web Standards


Data Visualisation

Data Visualisation
Author: Andy Kirk
Publisher: SAGE
Total Pages: 502
Release: 2019-07-08
Genre: Social Science
ISBN: 1526482886

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One of the "six best books for data geeks" - Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. With this book and its extensive collection of online support, readers can: Decide what visualisations work best for their data and their audience using the chart gallery See data visualisation in action and learn the tools to try it themselves Follow online checklists, tutorials, and exercises to build skills and confidence Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft.


Data-based Decision Making in Education

Data-based Decision Making in Education
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
Total Pages: 221
Release: 2012-09-18
Genre: Education
ISBN: 9400748159

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In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.


The Family Firm

The Family Firm
Author: Emily Oster
Publisher: Souvenir Press
Total Pages: 204
Release: 2021-08-12
Genre: Health & Fitness
ISBN: 1782837361

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THE INSTANT NEW YORK TIMES BESTSELLER 'Chart a child's path with less stress and more optimization for healthy habits and future success' Time From age 5 to 12, parenting decisions get more complicated and have lasting consequences. What's the right kind of school? Should they play a sport? When's the right time for a phone? Making these decisions is less about finding the specific answer and more about taking the right approach. Along with these bigger questions, Oster investigates how to navigate the complexity of day-to-day family logistics. The Family Firm is a smart and winning guide to how to think more clearly - and with less ambient stress - about the key decisions of these early years.


Data Science for Undergraduates

Data Science for Undergraduates
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 139
Release: 2018-11-11
Genre: Education
ISBN: 0309475597

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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.


AI and education

AI and education
Author: Miao, Fengchun
Publisher: UNESCO Publishing
Total Pages: 50
Release: 2021-04-08
Genre: Political Science
ISBN: 9231004476

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Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]