Advancing Natural Language Processing in Educational Assessment

By: Victoria Yaneva and Matthias Von Davier

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9781000904192
Related ISBNs:: 9781032244525, 9781032203904, 9781003278658
Publisher:: Taylor and Francis
Date of Addition:: 05/31/23
Copyrighted By:: selection and editorial matter, Victoria Yaneva and Matthias von Davier
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Psychology, Education
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Victoria Yaneva
Edited by:: Matthias von Davier