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Advancing Natural Language Processing in Educational Assessment

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Abstract
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 r

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Publisher

: ., 2023

Collation

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Language

ISBN/ISSN

9781032203904

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Specific Detail Info

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Statement of Responsibility

Yaneva, Victoria

Other Information

Cataloger

Heri

Source

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Validator

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Digital Object Identifier (DOI)

https://directory.doabooks.org/handle/20.500.12854/100384

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