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Handbook of Automated Essay Evaluation

Author : Mark D. Shermis
Publisher : Routledge
Page : 385 pages
File Size : 14,50 MB
Release : 2013-07-18
Category : Psychology
ISBN : 1136334807

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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.

Artificial Intelligence in Education

Author : V. Dimitrova
Publisher : IOS Press
Page : 852 pages
File Size : 40,34 MB
Release : 2009-06-25
Category : Computers
ISBN : 1607504464

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This publication covers papers presented at AIED2009, part of an ongoing series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. The conference provides opportunities for the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which AIED systems have been designed and evaluated. AIED2009 focuses on the theme "Building learning systems that care: from knowledge representation to affective modelling". The key research question is how to tackle the complex issues related to building learning systems that care, ranging from representing knowledge and context to modelling social, cognitive, metacognitive, and affective dimensions. This requires multidisciplinary research that links theory and technology from artificial intelligence, cognitive science, and computer science with theory and practice from education and the social sciences.

Academic Vocabulary in Learner Writing

Author : Magali Paquot
Publisher : Bloomsbury Publishing
Page : 273 pages
File Size : 35,57 MB
Release : 2014-10-01
Category : Language Arts & Disciplines
ISBN : 1441102191

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Academic vocabulary is in fashion, as witnessed by the increasing number of books published on the topic. In the first part of this book, Magali Paquot scrutinizes the concept of 'academic vocabulary' and proposes a corpus-driven procedure based on the criteria of keyness, range and evenness of distribution to select academic words that could be part of a common-core academic vocabulary syllabus. In the second part, the author offers a thorough analysis of academic vocabulary in the International Corpus of Learner English (ICLE) and describes the factors that account for learners' difficulties in academic writing. She then focuses on the role of corpora, and more particularly, learner corpora, in EAP material design. It is the first monograph in which Granger's (1996) Contrastive Interlanguage Analysis is used to compare 10 ICLE learner sub-corpora, in order to distinguish between linguistic features that are shared by learners from a wide range of mother tongue backgrounds and unique features that may be transfer-related.

Artificial Intelligence and Speech Technology

Author : Amita Dev
Publisher : CRC Press
Page : 469 pages
File Size : 42,77 MB
Release : 2021-06-30
Category : Computers
ISBN : 1000472957

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The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc.

Transactions on Computational Collective Intelligence XVIII

Author : Ngoc Thanh Nguyen
Publisher : Springer
Page : 211 pages
File Size : 50,24 MB
Release : 2015-07-30
Category : Computers
ISBN : 3662481456

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These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighteenth issue contains 9 carefully selected and revised contributions.

Intelligent Tutoring Systems

Author : Vincent Aleven
Publisher : Springer Science & Business Media
Page : 464 pages
File Size : 31,72 MB
Release : 2010-06-01
Category : Education
ISBN : 3642133878

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The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, cont- ued the bi-annual series of top-flight international conferences on the use of advanced educational technologies that are adaptive to users or groups of users. These highly interdisciplinary conferences bring together researchers in the learning sciences, computer science, cognitive or educational psychology, cognitive science, artificial intelligence, machine learning, and linguistics. The theme of the ITS 2010 conference was Bridges to Learning, a theme that connects the scientific content of the conf- ence and the geography of Pittsburgh, the host city. The conference addressed the use of advanced technologies as bridges for learners and facilitators of robust learning outcomes. We received a total of 186 submissions from 26 countries on 5 continents: Aust- lia, Brazil, Canada, China, Estonia, France, Georgia, Germany, Greece, India, Italy, Japan, Korea, Mexico, The Netherlands, New Zealand, Pakistan, Philippines, Saudi Arabia, Singapore, Slovakia, Spain, Thailand, Turkey, the UK and USA. We accepted 61 full papers (38%) and 58 short papers. The diversity of the field is reflected in the range of topics represented by the papers submitted, selected by the authors.

WorldCALL

Author : Mike Levy
Publisher : Routledge
Page : 344 pages
File Size : 30,89 MB
Release : 2011-02-01
Category : Education
ISBN : 1136831614

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As technological innovation continues to affect language pedagogy, there is an increasing demand for information, exemplars, analysis and guidance. This edited volume focuses on international perspectives in Computer-Assisted Language Learning (CALL) in all of its forms, including Technology Enhanced Language Learning, Network-Based Language Learning, Information and Communication Technologies for Language Learning.

Assessing Change in English Second Language Writing Performance

Author : Khaled Barkaoui
Publisher : Routledge
Page : 182 pages
File Size : 43,92 MB
Release : 2020-11-29
Category : Foreign Language Study
ISBN : 100020149X

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This book introduces a new framework for analyzing second language (L2) learners’ written texts. The authors conducted a major study on changes and differences in English L2 learners’ writing performance to advance understanding of the nature of L2 writing development over time, in relation to L2 instruction and testing, and to offer a model that professionals and researchers can use in their own longitudinal and cross-sectional studies of L2 writing development. Grounded in research, data, theory, and technology, this will be a welcome how-to for language test developers, scholars, and graduate students of (L2) writing and assessment.