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Advancing Natural Language Processing in Educational Assessment
Advancing Natural Language Processing in Educational Assessment
Autore Yaneva Victoria
Pubbl/distr/stampa Milton : , : Taylor & Francis Group, , 2023
Descrizione fisica 1 online resource (261 pages)
Disciplina 371.26/1
Altri autori (Persone) von DavierMatthias
Soggetto topico Educational tests and measurements - Technological innovations
Natural language processing (Computer science)
ISBN 1-00-327865-5
1-000-90416-4
1-003-27865-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910725059703321
Yaneva Victoria  
Milton : , : Taylor & Francis Group, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital representations of student performance for assessment / / edited by P. John Williams, University of Waikato, New Zealand, and C. Paul Newhouse, Edith Cowan University, Australia
Digital representations of student performance for assessment / / edited by P. John Williams, University of Waikato, New Zealand, and C. Paul Newhouse, Edith Cowan University, Australia
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Rotterdam : , : Sense Publishers, , [2013]
Descrizione fisica 1 online resource (221 p.)
Disciplina 221
Altri autori (Persone) WilliamsP. John
NewhouseC. Paul
Soggetto topico Students - Rating of - Technological innovations
Educational tests and measurements - Technological innovations
Educational technology
ISBN 94-6209-341-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preliminary Material / P. John Williams and C. Paul Newhouse -- Introduction and Background / John Williams -- Literature Review and Conceptual Framework / Paul Newhouse -- Method and Analysis / John Williams and Alistair Campbell -- Applied Information Technology / Paul Newhouse -- Engineering Studies / John Williams -- Italian Studies / Martin Cooper -- Physical Education Studies / Dawn Penney and Andrew Jones -- Findings and Conclusions / Jeremy Pagram -- References / P. John Williams and C. Paul Newhouse.
Record Nr. UNINA-9910438225203321
Rotterdam : , : Sense Publishers, , [2013]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui