Literary Analysis Rubric
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English Teacher's Guide to Performance Tasks and Rubrics
This book provides step-by-step procedures, student hand-outs, and samples of student work.
Leaders of Their Own Learning
From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. Video and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.
Handbook of Automated Essay Evaluation
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.