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 p...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Yaneva, Victoria (Editor), Davier, Matthias von (Editor)
Format: eBook
Language:English
Published: New York, NY : Routledge, 2023.
Series:NCME applications of educational measurement and assessment book series.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The role of robust software in automated scoring / Nitin Madnani, Aoife Cahill, and Anastassia Loukina
  • Psychometric considerations when using deep learning for automated scoring / Susan Lottridge, Chris Ormerod, and Amir Jafari
  • Speech analysis in assessment / Jared C. Bernstein and 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, and Brian E. Clauser
  • Automatic generation of multiple-choice test items from paragraphs using deep nural networks / Ruslan Mitkov, Le An Ha, Halyna Maslak, Tharindu Ranasinghe, and 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
  • Validity, fairness, and technology-based assessment / Suzanne Lane
  • Evaluating fairness of automated scoring in educational measurement / Matthew S. Johnson and Daniel F. McCaffrey
  • Extracting linguistic signal from item text and its application to modeling item characteristics / Victoria Yaneva, Peter Baldwin, Le An Ha, and Christopher Runyon
  • Stealth literacy assessment : leveraging games and NLP in iSTART / Ying Fang, Laura K. Allen, Rod D. Roscoe, and Danielle S. McNamara
  • Measuring scientific understanding across international samples : the promise of machine translation and NLP-based machine learning technologies / Minsu Ha and Ross H. Nehm
  • Making sense of college students' writing achievement and retention with automated writing evaluation / Jill Burstein, Daniel McCaffrey, Steven Holtzman & Beata Beigman Klebanov.