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Automated essay scoring (AES) is a relatively new tech being used to evaluate high-&-low -stakes-performance-based-writing assessments. This book is designed to provide an overview of the progress in AES tech from a cross-disciplinary perspective.
Jill C. BursteinMark D. Shermis
Contents: C. Bereiter, Foreword. M.D. Shermis, J.C. Burstein, Preface. Introduction. Part I:Teaching of Writing.M. Myers, What Can Computers Contribute to a K-12 Writing Program? Part II:Psychometric Issues in Performance Assessment.G.K.W.K. Chung, E.L. Baker, Issues in the Reliability and Validity of Automated Scoring of Constructed Responses. Part III:Automated Essay Scorers.E.B. Page, Project Essay Grade: PEG. L.S. Larkey, W.B. Croft, A Text Categorization Approach to Automated Essay Grading. S. Elliot, Intellimetric(TM): From Here to Validity. T.K. Landauer, D. Laham, P.W. Foltz, Automated Scoring and Annotation of Essays With the Intelligent Essay Assessor. J. Burstein, The E-Rater(R) Scoring Engine: Automated Essay Scoring With Natural Language Processing. Part IV:Psychometric Issues in Automated Essay Scoring.G.J. Cizek, B.A. Page, The Concept of Reliability in the Context of Automated Essay Scoring. T.Z. Keith, Validity and Automated Essay Scoring Systems. M.D. Shermis, K.E. Daniels, Norming and Scaling for Automated Essay Scoring. S. Ponisciak, V. Johnson, Bayesian Analysis of Essay Grading. Part V:Current Innovation in Automated Essay Evaluation.C. Leacock, M. Chodorow, Automated Grammatical Error Detection. J.C. Burstein, D. Marcu, Automated Evaluation of Discourse Structure in Student Essays.
