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Lechner, Verena Elisabeth – Journal of Visual Literacy, 2021
For creating and reading data visualizations, visual literacy is crucial. This article advances the knowledge about graphical variations and conventions related to the basic graphical element of the graphical line used as a connector in data visualizations. Some visual characteristics of connecting lines can be used to show directionality and thus…
Descriptors: Visual Aids, Data, Visual Literacy, Narration
Sosa, Giovanni – RP Group, 2022
The first step to addressing equity gaps is to identify them. How can community colleges determine, with some degree of certainty, whether one or more student groups on a campus is in need of assistance in order to succeed? This paper tackles this question by delving into the three methods typically used to identify equity gaps, comparing and…
Descriptors: Equal Education, Community College Students, Disproportionate Representation, Data Analysis
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Cox, Bradley E.; Nachman, Brett Ranon – Journal of Postsecondary Education and Disability, 2020
This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…
Descriptors: College Students, Students with Disabilities, Statistical Analysis, Student Evaluation
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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
Montague-Smith, Ann; Price, Alison – Routledge, Taylor & Francis Group, 2012
This third edition of the best-selling "Mathematics in Nursery Education" provides an accessible introduction to the teaching of mathematics in the early years. Covering all areas of mathematics learning--number and counting, calculation, pattern, shape, measures and data handling--it summarises the research findings and underlying key concepts…
Descriptors: Mathematics Education, Early Childhood Education, Language Acquisition, Mathematics Instruction
College Board, 2014
This report provides educators and policymakers with information they can use to celebrate their successes, understand their unique challenges, and set meaningful goals to increase opportunity for all students. It is important to note that while AP® Exams are valid measures of students' content mastery of college-level studies in specific academic…
Descriptors: Advanced Placement, African American Students, American Indian Students, Asian American Students
Brown-Chidsey, Rachel; Steege, Mark W. – Guilford Publications, 2010
This bestselling work provides practitioners with a complete guide to implementing response to intervention (RTI) in schools. The authors are leading experts who explain the main components of RTI--high-quality instruction, frequent assessment, and data-based decision making--and show how to use it to foster positive academic and behavioral…
Descriptors: Teaching Methods, Intervention, Reprography, Federal Legislation
Thomas, R. Murray – 2003
This guide discusses combining qualitative and quantitative research methods in theses and dissertations. It covers a wide array of methods, the strengths and limitations of each, and how they can be effectively interwoven into various research designs. The first chapter is "The Qualitative and the Quantitative." Part 1, "A…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Doctoral Dissertations
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Bernhardt, Victoria L. – 1998
Data can help identify solutions to some of the biggest problems in schools. Yet few schools use data effectively. The purpose of this book is to help schools become aware of the advantages of collecting and using data (data analysis) for overall school improvement. The book begins with an overview of the current state of education and the…
Descriptors: Automation, Data Analysis, Data Collection, Data Interpretation
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Hunt, Gordon – Teaching Statistics, 1998
Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)
Descriptors: Data Collection, Data Interpretation, Data Processing, Elementary Secondary Education
National Council of Teachers of Mathematics, Inc., Reston, VA. – 1988
This publication is composed of documentation material and a user's guide for the software used in this course. The materials in this book are extracted from an introductory college mathematics course designed to prepare high school students who have completed Algebra 2 for the variety of mathematics courses encountered in college. The principal…
Descriptors: Computer Oriented Programs, Computer Software, Computer Uses in Education, Courseware
LeTendre, Brenda Guenther; Lipka, Richard P. – 1999
This guide gives middle school teachers and principals the tools they need to get answers to their questions about program evaluation. It shows how to use the information to work more effectively and efficiently and explains how to use program evaluation techniques to make sure that the approaches selected really solve the problems of interest.…
Descriptors: Data Analysis, Data Collection, Evaluation Methods, Middle Schools
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McClain, Kay – Mathematics Teaching in the Middle School, 1999
Addresses issues of students' understandings of representative values of data--how representative values should be introduced, and what role student understanding of representative values plays in their ability to analyze sets of data. Highlights the importance of teacher support of student development of conceptual understandings of multiple…
Descriptors: Data Analysis, Data Interpretation, Mathematics Activities, Mathematics Instruction
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