TY  - BOOK
AU  - Yaneva,Victoria
AU  - Davier,Matthias von
TI  - Advancing natural language processing in educational assessment
T2  - NCME applications of educational measurement  and assessment book series
SN  - 9781003278658
U1  - 371.261 
PY  - 2023///
CY  - New York
PB  - Routledge
KW  - Educational tests and measurements
KW  - Technological innovations
KW  - Natural language processing (Computer science)
N1  - Includes bibliographical references and index; Part 1. Automated scoring; The role of robust software in automated scoring / Nitin Madnani, Aoife Cahill, Anastassia Loukina; Psychometric considerations when using deep learning for automated scoring / Susan Lottridge, Chris Ormerod, Amir Jafari; Speech analysis in assessment / Jared C. Bernstein, Jian Cheng; Assessment of clinical skills ; a case study in constructing an NLP-based scoring system for patient notes / Polina Harik, Janet Mee, Christopher Runyon, Brian E. Clauser; Part 2. Item development; Automatic generation of multiple-choice test items from paragraphs using deep neural networks / Ruslan Mitkov, Le An Ha, Halyna Maslak, Tharindu Ranasinghe, Vilelmini Sosoni; Training Optimus Prime, M.D. : a case study of automated item generation using artificial intelligence – from fine-tuned gpt2 to gpt3 and beyond / Matthias von Davier; Computational psychometrics for digital-first assessments : a blend of ml and psychometrics for item generation and scoring / Geoff LaFlair, Kevin Yancey, Burr Settles, Alina A von Davier; Part 3. Validity and fairness; Validity, fairness, and technology-based assessment / Suzanne Lane; Evaluating fairness of automated scoring in educational measurement / Matthew S. Johnson, Daniel F. McCaffrey; Part 4. Emerging technologies; Extracting linguistic signal from item text and its application to modeling item characteristics / Victoria Yaneva, Peter Baldwin, Le An Ha, Christopher Runyon; Stealth literacy assessment : leveraging games and NLP in iSTART / Ying Fang, Laura K. Allen, Rod D. Roscoe, Danielle S. McNamara; Measuring scientific understanding across international samples : the promise of machine translation and NLP-based machine learning technologies / Minsu Ha, Ross H. Nehm; Making sense of college students' writing achievement and retention with automated writing evaluation / Jill Burstein, Daniel F. McCaffrey, Steven Holtzman, Beata Beigman Klebanov
UR  - https://drive.google.com/file/d/1GhoxE30cl-OVo2rprBL-muLQGBj8_chw/view?usp=drive_link
ER  -