Advancing Natural Language Processing in Educational Assessment (Edition 1)
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 profess...
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Format | eBook |
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Language | English |
Published |
Taylor and Francis
2023
Routledge Taylor & Francis |
Edition | 1 |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | MODID-943f4d11b5b:Taylor & Francis |
ISBN: | 9781000904192 1000904199 9781032244525 9781032203904 1032244526 1032203900 1003278655 9781003278658 |
DOI: | 10.4324/9781003278658 |