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pro vyhledávání: '"Mark Rosenstein"'
Autor:
William Murray, Mark Rosenstein, Marcia A. Derr, Peter W. Foltz, Adam Wiemerslage, Scott Hellman, Lee Becker
Publikováno v:
BEA@ACL
Automated Essay Scoring (AES) can be used to automatically generate holistic scores with reliability comparable to human scoring. In addition, AES systems can provide formative feedback to learners, typically at the essay level. In contrast, we are i
Publikováno v:
International Journal of Testing. 18:27-49
Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be
Autor:
Peter W. Foltz, Mark Rosenstein, Simon De Deyne, Alex S. Cohen, Eduardo Mizraji, Ramon Ferrer-i-Cancho, Brita Elvevåg
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
It has been 30 years since Holzman introduced a special issue of the Schizophrenia Bulletin entitled “Thought Disorder in Schizophrenia.” He pointed out in his Editor’s Introduction that in contrast to the explosion of interest at that time in
Autor:
William Murray, Jill S. Budden, Lee Becker, Peter W. Foltz, Alok Baikadi, Scott Hellman, Mark Rosenstein, Andrew Gorman
Publikováno v:
L@S
Automated essay scoring (AES) allows writing to be assigned in large courses and can provide instant formative feedback to students. However, creating models for AES can be costly, requiring the collection and human scoring of hundreds of essays. We
Autor:
Peter W. Foltz, Mark Rosenstein
Publikováno v:
Handbook of Learning Analytics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9dfbf6073ebf38745a703c17230250f
https://doi.org/10.18608/hla17.017
https://doi.org/10.18608/hla17.017
Autor:
Daniel R. Weinberger, Peter W. Foltz, Kristin K. Nicodemus, Brita Elvevåg, Catherine Diaz-Asper, Mark Rosenstein
Publikováno v:
Cortex. 55:182-191
Category fluency is a widely used task that relies on multiple neurocognitive processes and is a sensitive assay of cortical dysfunction, including in schizophrenia. The test requires naming of as many words belonging to a certain category (e.g., ani
Publikováno v:
Cortex. 55:148-166
Many cortical disorders are associated with memory problems. In schizophrenia, verbal memory deficits are a hallmark feature. However, the exact nature of this deficit remains elusive. Modeling aspects of language features used in memory recall have
Publikováno v:
Scientific Studies of Reading. 18:130-154
Determining word meanings that ought to be taught or introduced is important for educators. A sequence for vocabulary growth can be inferred from many sources, including testing children’s knowledge of word meanings at various ages, predicting from
Publikováno v:
NPJ Schizophrenia
We found the recent paper by Bedi et al.1 simultaneously exciting, heartening and, sadly, a bit discouraging. It shows that modern, statistical natural language processing (NLP) and machine-learning (ML) techniques can potentially be useful as a comp