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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書誌詳細
その他の著者:	Yaneva, Victoria (編集者), von Davier, Matthias (編集者)
フォーマット:	電子媒体図書の章
言語:	英語
出版事項:	Taylor & Francis 2023
主題:	Examinations & assessment Psychological testing & measurement Educational psychology Advancing Natural Language Processing in Educational Assessment;artificial intelligence;automated text and speech scoring;automatic item generation;classroom assessment;deep neural networks;educational measurement;educational testing;fairness;gamification;language proficiency assessment;learner feedback;linguistic signal;Matthias von Davier;multiple choice items;National Board of Medical Examiners;National Council on Measurement in Education;NBME;NCME;NLP;personalized learning;psychometrics;technology-assisted item generation;Victoria Yaneva;validity
オンライン･アクセス:	OAPEN Library: download the publication OAPEN Library: description of the publication
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

Advancing Natural Language Processing in Educational Assessment

出版事項 2023

DOAB: download the publication
DOAB: description of the publication

電子媒体図書の章

Advancing Natural Language Processing in Educational Assessment

Advancing Natural Language Processing in Educational Assessment

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