Advancing natural language processing in educational assessment / edited by Victoria Yaneva and Matthias von Davier
Material type:
- text
- computer
- online resource
- 9781003278658
- 371.261
Item type | Current library | Collection | Status | Barcode | |
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Accessible online | Circulation | Available | EB-00518 |
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
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