Author: Hong Jiao
Publisher: IAP
ISBN: 1681238950
Category : Education
Languages : en
Pages : 248
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Book Description
The new generation of tests is faced with new challenges. In the K?12 setting, the new learning targets are intended to assess higher?order thinking skills and prepare students to be ready for college and career and to keep American students competitive with their international peers. In addition, the new generation of state tests requires the use of technology in item delivery and embedding assessment in real?world, authentic, situations. It further requires accurate assessment of students at all ability levels. One of the most important questions is how to maintain test fairness in the new assessments with technology innovative items and technology delivered tests. In the traditional testing programs such as licensure and certification tests and college admission tests, test fairness has constantly been a key psychometric issue in test development and this continues to be the case with the national testing programs. As test fairness needs to be addressed throughout the whole process of test development, experts from state, admission, and licensure tests will address test fairness challenges in the new generation assessment. The book chapters clarify misconceptions of test fairness including the use of admission test results in cohort comparison, the use of international assessment results in trend evaluation, whether standardization and fairness necessarily mean uniformity when test?takers have different cultural backgrounds, and whether standardization can insure fairness. More technically, chapters also address issues related to how compromised items and test fairness are related to classification decisions, how accessibility in item development and accommodation could be mingled with technology, how to assess special populations with dyslexia, using Blinder?Oaxaca Decomposition for differential item functioning detection, and differential feature functioning in automated scoring. Overall, this book addresses test fairness issues in state assessment, college admission testing, international assessment, and licensure tests. Fairness is discussed in the context of culture and special populations. Further, fairness related to performance assessment and automated scoring is a focus as well. This book provides a very good source of information related to test fairness issues in test development in the new generation of assessment where technology is highly involved.
Author: Jessica L. Jonson
Publisher: American Educational Research Association
ISBN: 0935302972
Category : Education
Languages : en
Pages : 466
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Book Description
This book examines scholarship, best practice methodologies, and examples of policy and practice from various professional fields in education and psychology to illuminate the elevated emphasis on test fairness in the 2014 Standards for Educational and Psychological Testing. Together, the chapters provide a survey of critical and current issues with a view to broadening and contextualizing the fairness guidelines for different types of tests, test takers, and testing contexts. Researchers and practitioners from school psychology, clinical/counseling psychology, industrial/organizational psychology, and education will find the content useful in thinking more acutely about fairness in testing in their work. The book also has chapters that address implications for policy makers, and, in some cases, the public. These discussions are offered as a starting point for future scholarship on the theoretical, empirical, and applied aspects of fairness in testing particularly given the ever-increasing importance of addressing equity in testing.
Author: Susan M. Brookhart
Publisher: Routledge
ISBN: 0429017618
Category : Education
Languages : en
Pages : 297
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Book Description
Classroom Assessment and Educational Measurement explores the ways in which the theory and practice of both educational measurement and the assessment of student learning in classroom settings mutually inform one another. Chapters by assessment and measurement experts consider the nature of classroom assessment information, from student achievement to affective and socio-emotional attributes; how teachers interpret and work with assessment results; and emerging issues in assessment such as digital technologies and diversity/inclusion. This book uniquely considers the limitations of applying large-scale educational measurement theory to classroom assessment and the adaptations necessary to make this transfer useful. Researchers, graduate students, industry professionals, and policymakers will come away with an essential understanding of how the classroom assessment context is essential to broadening contemporary educational measurement perspectives. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Author: Charles Secolsky
Publisher: Routledge
ISBN: 1317485548
Category : Education
Languages : en
Pages : 738
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Book Description
In this valuable resource, well-known scholars present a detailed understanding of contemporary theories and practices in the fields of measurement, assessment, and evaluation, with guidance on how to apply these ideas for the benefit of students and institutions. Bringing together terminology, analytical perspectives, and methodological advances, this second edition facilitates informed decision-making while connecting the latest thinking in these methodological areas with actual practice in higher education. This research handbook provides higher education administrators, student affairs personnel, institutional researchers, and faculty with an integrated volume of theory, method, and application.
Author: Robert J Mislevy
Publisher: Springer
ISBN: 3319522469
Category : Social Science
Languages : en
Pages : 137
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Book Description
This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Understanding, exploring, and interacting with the world through models characterizes science in all its branches and at all levels of education. Model-based reasoning is central to science education and thus science assessment. Current interest in developing and using models has increased with the release of the Next Generation Science Standards, which identified this as one of the eight practices of science and engineering. However, the interactive, complex, and often technology-based tasks that are needed to assess model-based reasoning in its fullest forms are difficult to develop. Building on research in assessment, science education, and learning science, this Brief describes a suite of design patterns that can help assessment designers, researchers, and teachers create tasks for assessing aspects of model-based reasoning: Model Formation, Model Use, Model Elaboration, Model Articulation, Model Evaluation, Model Revision, and Model-Based Inquiry. Each design pattern lays out considerations concerning targeted knowledge and ways of capturing and evaluating students’ work. These design patterns are available at http://design-drk.padi.sri.com/padi/do/NodeAction?state=listNodes&NODE_TYPE=PARADIGM_TYPE. The ideas are illustrated with examples from existing assessments and the research literature.
Author: Stephen N. Elliott
Publisher: Springer
ISBN: 3319711261
Category : Psychology
Languages : en
Pages : 283
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Book Description
The Second Edition of this handbook provides comprehensive coverage of the concept of accessibility and its application to the design and implementation of instruction and tests with all students. It updates and expands on its original contents and responds to the increasing demand for research-based evidence of accessible instruction and testing practices from the professional community. Chapters explore how outcomes are affected when essential features or components of instructional materials and tests are not accessible to any portion of the student population. The handbook addresses the new set of Standards for Educational and Psychological Testing that was published in 2014 as well as requirements for a high level of access for all interim and summative tests by national testing consortiums. In addition, the handbook describes how the Center for Applied Special Technology (CAST) has continued to advance Universal Design for Learning (UDL) principles in mainstream education with teachers of all types of students, not just students with disabilities. Topics featured in this text include: A summary of U.S. policies that support inclusive assessment for students with disabilities. An overview of international policies that support inclusive assessments. Designing, developing, and implementing an accessible computer-based national assessment system. Universal Design for Learning (UDL) principles and the future of assessment. Recent advancements in the accessibility of digitally delivered educational assessments. The Handbook of Accessible Instruction and Testing Practices, Second Edition is an essential reference for researchers, practitioners, and graduate students in education and allied disciplines, including child and school psychology; assessment, testing and evaluation; social work; and education policy and politics.
Author: Hong Jiao
Publisher: IAP
ISBN: 1641133287
Category : Education
Languages : en
Pages : 268
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Book Description
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.
Author: Robert J. Mislevy
Publisher: Routledge
ISBN: 1317976525
Category : Education
Languages : en
Pages : 438
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Book Description
Several key developments challenge the field of educational measurement today: demands for tests at larger scales with higher stakes, an improved understanding of how people develop capabilities, and new technologies for interactive digital assessments. Sociocognitive Foundations of Educational Measurement integrates new developments in educational measurement and educational psychology in order to provide researchers, testing professionals, and students with an innovative sociocognitive perspective on assessment. This comprehensive volume begins with a broad explanation of the sociocognitive perspective and the foundations of assessment, then provides a series of focused applications to major topics such as assessment arguments, validity, fairness, interactive assessment, and a conception of "measurement" in educational assessment. Classical test theory, item response theory, categorical models, mixture models, cognitive diagnosis models, and Bayesian networks are explored from the resulting perspective. Ideal for specialists in these areas, graduate students, developers, and scholars in both educational measurement and fields that contribute to a sociocognitive perspective, this book consolidates nearly a decade of research into a fresh perspective on educational measurement.
Author: Hong Jiao
Publisher: IAP
ISBN: 1681239310
Category : Education
Languages : en
Pages : 310
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Book Description
Assessment innovation tied to technology is greatly needed in a wide variety of assessment applications. This book adopts an interdisciplinary perspective to learn from advances in developing technology enhanced innovative assessments from multiple fields. The book chapters address the development of virtual assessments including game?based assessment, simulation?based assessment, and narrative based assessment as well as how simulation and game based assessments serve both formative and summative purposes. Further, chapters address the critical challenge of integrating assessment directly into the learning process so that teacher effectiveness and student learning can be enhanced. Two chapters specifically address the psychometric challenges related to innovative items. One chapter talks about evaluating the psychometric properties of innovative items while the other chapter presents a new psychometric model for calibrating innovative items embedded in multiple contexts. In addition, validity issues are addressed related to technology enhanced innovative assessment. It is hoped that the book provides readers with rich and useful information about the development of several types of virtual assessments from multiple perspectives. The authors include experts from industry where innovative items have been used for many years and experts from research institutes and universities who have done pioneering work related to developing innovative items with formative applications to facilitate learning. In addition, expert advice has been provided on validating such work.
Author: Hong Jiao
Publisher: IAP
ISBN: 1648026281
Category : Education
Languages : en
Pages : 243
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Book Description
This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and software are included. Chapters 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and achieve more efficient instructions from various sources of data. Chapters 3 and 7 propose and evaluate new methods to promote students’ learning by using evidence-based iterative learning engineering and supporting the teachers’ use of assessment data, respectively. Chapter 2 provides technical details on the collection, storage, and security protection of process data. Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling. Chapter 10 describes the barriers to using psychosocial data for formative assessment purposes. Chapter 11 describes a conceptual framework for adaptive learning and testing and gives an example of a functional learning and assessment system. In summary, the book includes comprehensive perspectives of the recent development and challenges of using test data for formative assessment purposes. The chapters provide innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. This book is a useful resource to researchers who are interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes.
