Automated Essay Scoring

Author: Mark D. Shermis
Publisher: Routledge
ISBN: 1135643601
Size: 13.38 MB
Format: PDF, ePub, Mobi
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This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics. The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including: *How can automated scoring and evaluation supplement classroom instruction? *How does the technology actually work? *Can it improve students' writing? *How reliable is the technology? *How can these computing methods be used to develop evaluation tools? *What are the state-of the-art essay evaluation technologies and automated scoring systems? Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field. This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.

Handbook Of Automated Essay Evaluation

Author: Mark D. Shermis
Publisher: Routledge
ISBN: 1136334807
Size: 43.99 MB
Format: PDF, Kindle
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This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the evaluation of performance-based writing assessments and recent advances in the teaching of writing, language testing, cognitive psychology, and computational linguistics. This greatly expanded follow-up to Automated Essay Scoring reflects the numerous advances that have taken place in the field since 2003 including automated essay scoring and diagnostic feedback. Each chapter features a common structure including an introduction and a conclusion. Ideas for diagnostic and evaluative feedback are sprinkled throughout the book. Highlights of the book’s coverage include: The latest research on automated essay evaluation. Descriptions of the major scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM Engine, c-raterTM, and LightSIDE. Applications of the uses of the technology including a large scale system used in West Virginia. A systematic framework for evaluating research and technological results. Descriptions of AEE methods that can be replicated for languages other than English as seen in the example from China. Chapters from key researchers in the field. The book opens with an introduction to AEEs and a review of the "best practices" of teaching writing along with tips on the use of automated analysis in the classroom. Next the book highlights the capabilities and applications of several scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM engine, c-raterTM, and LightSIDE. Here readers will find an actual application of the use of an AEE in West Virginia, psychometric issues related to AEEs such as validity, reliability, and scaling, and the use of automated scoring to detect reader drift, grammatical errors, discourse coherence quality, and the impact of human rating on AEEs. A review of the cognitive foundations underlying methods used in AEE is also provided. The book concludes with a comparison of the various AEE systems and speculation about the future of the field in light of current educational policy. Ideal for educators, professionals, curriculum specialists, and administrators responsible for developing writing programs or distance learning curricula, those who teach using AEE technologies, policy makers, and researchers in education, writing, psychometrics, cognitive psychology, and computational linguistics, this book also serves as a reference for graduate courses on automated essay evaluation taught in education, computer science, language, linguistics, and cognitive psychology.

Handbook Of Writing Research

Author: Charles A. MacArthur
Publisher: Guilford Press
ISBN: 1593857500
Size: 74.16 MB
Format: PDF
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Presents a collection of essays discussing the theories and models of writing research.

Machine Scoring Of Student Essays

Author: Patricia Freitag Ericsson
Publisher: Utah State University Press
ISBN: 9780874216325
Size: 61.36 MB
Format: PDF, ePub, Docs
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The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in administration. The academic community has been silent on the issue—some would say excluded from it—while the commercial entities who develop essay-scoring software have been very active. Machine Scoring of Student Essays is the first volume to seriously consider the educational mechanisms and consequences of this trend, and it offers important discussions from some of the leading scholars in writing assessment. Reading and evaluating student writing is a time-consuming process, yet it is a vital part of both student placement and coursework at post-secondary institutions. In recent years, commercial computer-evaluation programs have been developed to score student essays in both of these contexts. Two-year colleges have been especially drawn to these programs, but four-year institutions are moving to them as well, because of the cost-savings they promise. Unfortunately, to a large extent, the programs have been written, and institutions are installing them, without attention to their instructional validity or adequacy. Since the education software companies are moving so rapidly into what they perceive as a promising new market, a wider discussion of machine-scoring is vital if scholars hope to influence development and/or implementation of the programs being created. What is needed, then, is a critical resource to help teachers and administrators evaluate programs they might be considering, and to more fully envision the instructional consequences of adopting them. And this is the resource that Ericsson and Haswell are providing here.

Assessment Of Competencies In Educational Contexts

Author: Eckhard Klieme
Publisher: Hogrefe & Huber Pub
ISBN: 9780889372979
Size: 27.16 MB
Format: PDF, ePub, Mobi
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Covers theoretical, psychometric, and practical issues related to the assessment of competencies in educational and vocational settings. This book is suitable for researchers interested in theoretical and psychometric background of assessment, and for readers interested in practical aspects of computer-based assessment and evaluation.

Machine Scoring Of Student Essays

Author: Patricia Freitag Ericsson
Publisher: Utah State University Press
ISBN: 9780874216325
Size: 59.53 MB
Format: PDF, ePub, Mobi
View: 1428
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The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in administration. The academic community has been silent on the issue—some would say excluded from it—while the commercial entities who develop essay-scoring software have been very active. Machine Scoring of Student Essays is the first volume to seriously consider the educational mechanisms and consequences of this trend, and it offers important discussions from some of the leading scholars in writing assessment. Reading and evaluating student writing is a time-consuming process, yet it is a vital part of both student placement and coursework at post-secondary institutions. In recent years, commercial computer-evaluation programs have been developed to score student essays in both of these contexts. Two-year colleges have been especially drawn to these programs, but four-year institutions are moving to them as well, because of the cost-savings they promise. Unfortunately, to a large extent, the programs have been written, and institutions are installing them, without attention to their instructional validity or adequacy. Since the education software companies are moving so rapidly into what they perceive as a promising new market, a wider discussion of machine-scoring is vital if scholars hope to influence development and/or implementation of the programs being created. What is needed, then, is a critical resource to help teachers and administrators evaluate programs they might be considering, and to more fully envision the instructional consequences of adopting them. And this is the resource that Ericsson and Haswell are providing here.

Moving Out Of Poverty

Author: Deepa Narayan
Publisher: World Bank Publications
ISBN: 9780821369920
Size: 10.51 MB
Format: PDF
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This book brings together the latest thinking about poverty dynamics from diverse analytic traditions. While covering a vast body of conceptual and empirical knowledge about economic and social mobility, it takes the reader on compelling journeys of multigenerational accounts of three villages in Kanartaka, India, twelve years in the life of a street child in Burkina Faso, and much more. Leading development practitioners and scholars from the fields of anthropology, economics, political science, and sociology critically examine the literature from their disciplines and contribute new frameworks and evidence from their own works. The 'Moving Out of Poverty' series launched in 2007 is under the editorial direction of Deepa Narayan, Senior Advisor of the World Bank and former director of the pathbreaking 'Voices of the Poor' series. It features the results of new comparative research across more than 500 communities in 15 countries to understand how and why people move out of poverty, and presents other work which builds on interdisciplinary and contextually grounded understandings of growth and poverty reduction.