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Assessment Data
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Book Synopsis Data Wise by : Kathryn Parker Boudett
Download or read book Data Wise written by Kathryn Parker Boudett and published by . This book was released on 2005 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data Wise" is a proven process for collecting and using big data in schools. This book provides a blueprint schools can use to initiate school-wide conversations about these data and make better decisions to enhance school culture and climate.
Book Synopsis Data Quality Assessment by : Arkady Maydanchik
Download or read book Data Quality Assessment written by Arkady Maydanchik and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. This book is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organisation. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analysing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organising rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says "This is one of those books that marks a milestone in the evolution of a discipline. Arkady's insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners."
Book Synopsis How to Make Decisions with Different Kinds of Student Assessment Data by : Susan M. Brookhart
Download or read book How to Make Decisions with Different Kinds of Student Assessment Data written by Susan M. Brookhart and published by ASCD. This book was released on 2015-12-07 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn— * What different kinds of data can—and cannot—tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and—most important—more effective use of data to improve teaching and learning.
Book Synopsis Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners by : Marcos von Sperling
Download or read book Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners written by Marcos von Sperling and published by IWA Publishing. This book was released on 2020-01-15 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basic principles for evaluating water quality and treatment plant performance in a clear, innovative and didactic way, using a combined approach that involves the interpretation of monitoring data associated with (i) the basic processes that take place in water bodies and in water and wastewater treatment plants and (ii) data management and statistical calculations to allow a deep interpretation of the data. This book is problem-oriented and works from practice to theory, covering most of the information you will need, such as (a) obtaining flow data and working with the concept of loading, (b) organizing sampling programmes and measurements, (c) connecting laboratory analysis to data management, (e) using numerical and graphical methods for describing monitoring data (descriptive statistics), (f) understanding and reporting removal efficiencies, (g) recognizing symmetry and asymmetry in monitoring data (normal and log-normal distributions), (h) evaluating compliance with targets and regulatory standards for effluents and water bodies, (i) making comparisons with the monitoring data (tests of hypothesis), (j) understanding the relationship between monitoring variables (correlation and regression analysis), (k) making water and mass balances, (l) understanding the different loading rates applied to treatment units, (m) learning the principles of reaction kinetics and reactor hydraulics and (n) performing calibration and verification of models. The major concepts are illustrated by 92 fully worked-out examples, which are supported by 75 freely-downloadable Excel spreadsheets. Each chapter concludes with a checklist for your report. If you are a student, researcher or practitioner planning to use or already using treatment plant and water quality monitoring data, then this book is for you! 75 Excel spreadsheets are available to download.
Book Synopsis The Ultimate School Counselor's Guide to Assessment and Data Collection by : Sandra Logan-McKibben, PhD, NCC, NCSC, ACS, BC-TMH
Download or read book The Ultimate School Counselor's Guide to Assessment and Data Collection written by Sandra Logan-McKibben, PhD, NCC, NCSC, ACS, BC-TMH and published by Springer Publishing Company. This book was released on 2021-10-27 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Showcases assessments that specifically support the unique work of school counselors! Written specifically for school counselors and those in training, this is the first book to highlight the use of assessment and data collection to effectively advocate for student success. It bridges the gap in relevant knowledge and skills by not only delineating the requirements for formulating a data-driven approach, but also presenting actual assessments that can immediately be implemented. Underscoring the professional and ethical responsibilities of practicing school counselors to be data-driven, the book delivers the guidance and instruments needed to access multiple levels of data. This includes individual student data, school-level data, school counseling program-level data, or data regarding the school counselors' practices or beliefs. This practical, user-friendly book is organized step-by-step, starting with foundational knowledge and progressing towards application. It introduces readers to both formal and informal assessments and provides examples of how to integrate assessments within comprehensive school counseling programs (CSCP). It addresses a variety of approaches to assessments and data collection across the domains of academic, career, and social-emotional development, and examines needs assessment and program evaluation to drive the development and implementation of a CSCP. Additionally, the resource explains each type of data, reinforced with examples across domains and school levels. Also included are technology tools that can aid in the assessment and data collection process as well as accountability reporting. Key Features: Provides specific, concrete steps for using assessment and data collection to advocate for student success and develop effective CSCPs Includes examples of data collection tools, assessments, charts, tables, and illustrations Delivers hands-on application tasks throughout Delineates valid and reliable instruments to bolster effectiveness Includes downloadable appendix with formal assessments and templates to complete tasks described throughout the text
Book Synopsis Putting Library Assessment Data to Work by : Selena Killick
Download or read book Putting Library Assessment Data to Work written by Selena Killick and published by Facet Publishing. This book was released on 2019-07-16 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective library assessment is crucial for a successful academic library. But what do we mean by library assessment and how can it be used to improve the library service? This new book provides a practical guide for library administrators, managers and practitioners on how to make effective use of existing sources of information for assessment activities with the aim of improving academic library services. Putting Library Assessment Data to Work brings together key library assessment methodologies detailing how they can be used to improve an academic Library. The book takes common sources of data that academic libraries will already be collecting, and presents simple qualitative and quantitative techniques that can be used to evaluate and assess their services, both in detail and overall. The different assessment methods are presented from a practical perspective with a theoretical grounding, and include practical case studies to illustrate how the methodologies have successfully been applied. - The book includes coverage of: - The theoretical framework for assessment, its purpose and the tools and techniques used - Institutional, national and international student surveys and how they can be used to improve library service - The history and development of standardised library surveys (eg LibQUAL+®), how they have been used and their impact - The benefits of In house library surveys and case studies of where they gave been used - Library statistics, including standardised statistics sets and key performance indicators - Qualitative feedback in the library - Emerging techniques including UX - Taking a holistic approach to library assessment through advocacy and strategic planning This book will be essential reading for library and information service managers, administrators, assessment practitioners, educators and policy shapers. It will also be useful for students and researchers interested in library assessment.
Book Synopsis Formative Assessment, Learning Data Analytics and Gamification by : Santi Caballé
Download or read book Formative Assessment, Learning Data Analytics and Gamification written by Santi Caballé and published by Morgan Kaufmann. This book was released on 2016-05-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance. - Discusses application of automatic techniques for e-assessment of learning activities - Presents strategies to provide immediate and useful feedback on students' activities - Provides methods to collect, analyze, and correctly visualize learning data in educational environments - Explains the applications, benefits, and challenges of using gamification techniques in academic contexts - Offers solutions to increase students' participation and performance while lowering drop-out rates and retention levels
Book Synopsis Handbook of Normative Data for Neuropsychological Assessment by : Maura Mitrushina
Download or read book Handbook of Normative Data for Neuropsychological Assessment written by Maura Mitrushina and published by Oxford University Press. This book was released on 2005-02-10 with total page 1052 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Handbook of Normative Data for Neuropsychological Assessment was published in 1999, it was the first book to provide neuropsychologists with summaries and critiques of normative data for neuropsychological tests. The Second Edition, which has been revised and updated throughout, presents data for 26 commonly used neuropsychological tests, including: Trailmaking, Color Trails, Stroop Color Word Interference, Auditory Consonant Trigrams, Paced Auditory Serial Addition, Ruff 2 and 7, Digital Vigilance, Boston Naming, Verbal Fluency, Rey-Osterrieth Complex Figure, Hooper Visual Fluency, Design Fluency, Tactual Performance, Wechsler Memory Scale-Revised, Rey Auditory-Verbal learning, Hopkins Verbal learning, WHO/UCLA Auditory Verbal Learning, Benton Visual Retention, Finger Tapping, Grip Strength (Dynamometer), Grooved Pegboard, Category, and Wisconsin Card Sorting tests. In addition, California Verbal learning (CVLT and CVLT-II), CERAD ListLearning, and selective Reminding Tests, as well as the newest version of the Wechsler Memory Scale (WMS-III and WMS-IIIA), are reviewed. Locator tables throughout the book guide the reader to the sets of normative data that are best suited to each individual case, depending on the demographic characteristics of the patient, and highlight the advantages associated with using data for comparative purposes. Those using the book have the option of reading the authors' critical review of the normative data for a particular test, or simply turning to the appropriate data locator table for a quick reference to the relevant data tables in the Appendices. The Second Edition includes reviews of 15 new tests. The way the data are presented has been changed to make the book easier to use. Meta-analytic tables of predicted values for different ages (and education, where relevant) are included for nine tests that have a sufficient number of homogeneous datasets. No other reference offers such an effective framework for the critical evaluation of normative data for neuropsychological tests. Like the first edition, the new edition will be welcomed by practitioners, researchers, teachers, and graduate students as a unique and valuable contribution to the practice of neuropsychology.
Book Synopsis Learning Assessment Techniques by : Elizabeth F. Barkley
Download or read book Learning Assessment Techniques written by Elizabeth F. Barkley and published by John Wiley & Sons. This book was released on 2016-01-19 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 50 Techniques for Engaging Students and Assessing Learning in College Courses Do you want to: Know what and how well your students are learning? Promote active learning in ways that readily integrate assessment? Gather information that can help make grading more systematic and streamlined? Efficiently collect solid learning outcomes data for institutional assessment? Provide evidence of your teaching effectiveness for promotion and tenure review? Learning Assessment Techniques provides 50 easy-to-implement active learning techniques that gauge student learning across academic disciplines and learning environments. Using Fink's Taxonomy of Significant Learning as its organizational framework, it embeds assessment within active learning activities. Each technique features: purpose and use, key learning goals, step-by-step implementation, online adaptation, analysis and reporting, concrete examples in both on-site and online environments, and key references—all in an easy-to-follow format. The book includes an all-new Learning Goals Inventory, as well as more than 35 customizable assessment rubrics, to help teachers determine significant learning goals and appropriate techniques. Readers will also gain access to downloadable supplements, including a worksheet to guide teachers through the six steps of the Learning Assessment Techniques planning and implementation cycle. College teachers today are under increased pressure to teach effectively and provide evidence of what, and how well, students are learning. An invaluable asset for college teachers of any subject, Learning Assessment Techniques provides a practical framework for seamlessly integrating teaching, learning, and assessment.
Book Synopsis Interpreting Assessment Data by : Edwin P. Christmann
Download or read book Interpreting Assessment Data written by Edwin P. Christmann and published by NSTA Press. This book was released on 2009 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a practical approach which helps teachers understand how to interpret student assessments statistically and how to measure and explain the validity and reliability of those assessments. This framework for measuring and interpreting assessment results is a must-have for your professional development library.
Book Synopsis Using Curriculum Mapping and Assessment Data to Improve Learning by : Bena Kallick
Download or read book Using Curriculum Mapping and Assessment Data to Improve Learning written by Bena Kallick and published by Corwin Press. This book was released on 2008-07-03 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Kallick and Colosimo have created a terrific book to help readers consider the next steps in using curriculum mapping, assessment, and technology to generate vibrant and productive learning communities." —From the Foreword by Heidi Hayes Jacobs "This book will help schools everywhere consider the essential questions that great teachers ask, not just in one classroom but across disciplines and grade levels." —Michael Robinson, Head of School Lake Forest Country Day School, IL Enhance instructional planning and learning outcomes through data-based decision making! Today′s educators are presented with data from multiple sources, including curriculum maps and national, state, and local assessments. How can educators make sense of the information from these different sources to improve student achievement? Using Curriculum Mapping and Assessment Data to Improve Learning presents effective methods for using data from multiple sources to inform decision making and enrich instructional practices. Data experts Bena Kallick and Jeff Colosimo provide guidance for reviewing curriculum maps, protocols for analyzing student work and assessment data, information about using technology to support the process, and three real-life case studies as examples. The authors help readers successfully Analyze assessment data and curriculum data to revise and improve curriculum Facilitate crucial conversations and professional dialogue Engage faculty as a team to create meaningful consensus Change school culture and give teachers incentives to sustain improvements By making data-driven decisions, all educators—from classroom teachers and building principals to district administrators and curriculum specialists—can dramatically improve student performance and create an environment that encourages optimism and increases opportunity.
Book Synopsis Common Formative Assessment by : Kim Bailey
Download or read book Common Formative Assessment written by Kim Bailey and published by Solution Tree Press. This book was released on 2011-10-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teams that engage in designing, using, and responding to common formative assessments are more knowledgeable about their own standards, more assessment literate, and able to develop more strategies for helping all students learn. In this conversational guide, the authors offer tools, templates, and protocols to incorporate common formative assessments into the practices of a PLC to monitor and enhance student learning
Book Synopsis Assessing Student Learning by : Linda Suskie
Download or read book Assessing Student Learning written by Linda Suskie and published by John Wiley & Sons. This book was released on 2010-07-30 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Assessing Student Learning has become the standard reference for college faculty and administrators who are charged with the task of assessing student learning within their institutions. The second edition of this landmark book offers the same practical guidance and is designed to meet ever-increasing demands for improvement and accountability. This edition includes expanded coverage of vital assessment topics such as promoting an assessment culture, characteristics of good assessment, audiences for assessment, organizing and coordinating assessment, assessing attitudes and values, setting benchmarks and standards, and using results to inform and improve teaching, learning, planning, and decision making.
Book Synopsis Data Analytics and Psychometrics by : Hong Jiao
Download or read book Data Analytics and Psychometrics written by Hong Jiao and published by IAP. This book was released on 2018-12-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.
Book Synopsis Measuring Data Quality for Ongoing Improvement by : Laura Sebastian-Coleman
Download or read book Measuring Data Quality for Ongoing Improvement written by Laura Sebastian-Coleman and published by Newnes. This book was released on 2012-12-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. - Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges - Enables discussions between business and IT with a non-technical vocabulary for data quality measurement - Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation
Book Synopsis Data Wise, Revised and Expanded Edition by : Kathryn Parker Boudett
Download or read book Data Wise, Revised and Expanded Edition written by Kathryn Parker Boudett and published by Harvard Education Press. This book was released on 2020-08-26 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools’ abilities to capture teachers’ knowledge, foster collaboration, identify obstacles to change, and enhance school culture and climate. This revised and expanded edition captures the learning that has emerged in integrating the Data Wise process into school practice and brings the book up-to-date with recent developments in education and technology including: The shift to the Common Core State Standards. New material on the “ACE Habits of Mind”: practices that prioritize Action, Collaboration, and Evidence as part of transforming school culture. A new chapter on “How We Improve,” based on experiences implementing Data Wise and to address two common questions: “Where do I start?” and “How long will it take?” Other revisions take into account changes in the roles of school data teams and instructional leadership teams in guiding the inquiry process. The authors have also updated exhibits, examples, and terminology throughout and have added new protocols and resources.
Book Synopsis How to Make Decisions with Different Kinds of Student Assessment Data by : Susan M. Brookhart
Download or read book How to Make Decisions with Different Kinds of Student Assessment Data written by Susan M. Brookhart and published by ASCD. This book was released on 2015-12-07 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn-- * What different kinds of data can--and cannot--tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and--most important--more effective use of data to improve teaching and learning.
