Advancing Natural Language Processing in Educational Assessment

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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अन्य लेखक: Yaneva, Victoria (संपादक), von Davier, Matthias (संपादक)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:अंग्रेज़ी
प्रकाशित: Taylor & Francis 2023
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विवरण
सारांश: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.
भौतिक वर्णन:1 electronic resource (261 p.)
आईएसबीएन:9781003278658
9781032244525
9781032203904
अभिगमन:Open Access