Advancing Natural Language Processing in Educational Assessment (Hardcover)

Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing professionals, and policymakers.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	NCME APPLICATIONS OF EDUCATIONAL MEASUREMENT AND ASSESSMENT
Release date:	May 2023
First published:	2023
Editors:	Victoria Yaneva • Matthias von Davier
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	264
ISBN-13:	978-1-03-220390-4
Categories:	Books > Social sciences > Education > Educational psychology Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Psychology > Philosophy & theory of psychology > General Books > Social sciences > Psychology > Psychological methodology > Psychological testing & measurement Books > Social sciences > Education > Organization & management of education > Examinations & assessment Books > Social sciences > Education > Higher & further education > General Promotions
LSN:	1-03-220390-0
Barcode:	9781032203904

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