Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Andrew E Waters"'
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212508 (2019)
Open Educational Resources (OER) have been lauded for their ability to reduce student costs and improve equity in higher education. Research examining whether OER provides learning benefits have produced mixed results, with most studies showing null
Externí odkaz:
https://doaj.org/article/133c48c75ac54f5193cad09efb83f087
Publikováno v:
IEEE Transactions on Learning Technologies. 13:580-592
Over the last 20 years, online peer review and assessment have become widely used and well-researched practices in education. Their use increased, especially with the proliferation of nonconventional large-scale and online modes of teaching and learn
Autor:
Lance B. Price, Marc Stegger, Henrik Hasman, Maliha Aziz, Jesper Larsen, Paal Skytt Andersen, Talima Pearson, Andrew E. Waters, Jeffrey T. Foster, James Schupp, John Gillece, Elizabeth Driebe, Cindy M. Liu, Burkhard Springer, Irena Zdovc, Antonio Battisti, Alessia Franco, Jacek Żmudzki, Stefan Schwarz, Patrick Butaye, Eric Jouy, Constanca Pomba, M. Concepción Porrero, Raymond Ruimy, Tara C. Smith, D. Ashley Robinson, J. Scott Weese, Carmen Sofia Arriola, Fangyou Yu, Frederic Laurent, Paul Keim, Robert Skov, Frank M. Aarestrup
Publikováno v:
mBio, Vol 4, Iss 1 (2013)
Externí odkaz:
https://doaj.org/article/dde626972c674d508f912b171d70404f
Autor:
Brenda Moore, Andrew E. Waters
Publikováno v:
International Journal of Nursing Education Scholarship. 17
English-as-a-second-language (ESL) nursing students fail out of nursing programs at a far higher rate than native English speakers. There are many reasons for this trend, however academic failure related to poor performance on multiple-choice (MC) ex
Publikováno v:
COLING
Word embedding models learn semantically rich vector representations of words and are widely used to initialize natural processing language (NLP) models. The popular continuous bag-of-words (CBOW) model of word2vec learns a vector embedding by maskin
Autor:
Lance B. Price, Marc Stegger, Henrik Hasman, Maliha Aziz, Jesper Larsen, Paal Skytt Andersen, Talima Pearson, Andrew E. Waters, Jeffrey T. Foster, James Schupp, John Gillece, Elizabeth Driebe, Cindy M. Liu, Burkhard Springer, Irena Zdovc, Antonio Battisti, Alessia Franco, Jacek Żmudzki, Stefan Schwarz, Patrick Butaye, Eric Jouy, Constanca Pomba, M. Concepción Porrero, Raymond Ruimy, Tara C. Smith, D. Ashley Robinson, J. Scott Weese, Carmen Sofia Arriola, Fangyou Yu, Frederic Laurent, Paul Keim, Robert Skov, Frank M. Aarestrup
Publikováno v:
mBio, Vol 3, Iss 1 (2012)
ABSTRACT Since its discovery in the early 2000s, methicillin-resistant Staphylococcus aureus (MRSA) clonal complex 398 (CC398) has become a rapidly emerging cause of human infections, most often associated with livestock exposure. We applied whole-ge
Externí odkaz:
https://doaj.org/article/b9fabdb17e9740f3b86c452ad4ee246a
Autor:
Rene S. Hendriksen, Lance B. Price, James M. Schupp, John D. Gillece, Rolf S. Kaas, David M. Engelthaler, Valeria Bortolaia, Talima Pearson, Andrew E. Waters, Bishnu Prasad Upadhyay, Sirjana Devi Shrestha, Shailaja Adhikari, Geeta Shakya, Paul S. Keim, Frank M. Aarestrup
Publikováno v:
mBio, Vol 2, Iss 4 (2011)
ABSTRACT Cholera continues to be an important cause of human infections, and outbreaks are often observed after natural disasters, such as the one following the 2010 earthquake in Haiti. Once the cholera outbreak was confirmed, rumors spread that the
Externí odkaz:
https://doaj.org/article/c76b9b69d2d1443f9756f22e4600a4a0
Publikováno v:
LAK
This study examines fidelity of ranking and rating scales in the context of online peer review and assessment. Using the Monte-Carlo simulation technique, we demonstrated that rating scales outperform ranking scales in revealing the relative "true" l
Autor:
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi
Publikováno v:
L@S
The ever growing amount of educational content renders it increasingly difficult to manually generate sufficient practice or quiz questions to accompany it. This paper introduces QG-Net, a recurrent neural network-based model specifically designed fo
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing, 11 (5)
Machine learning (ML) models and algorithms can enable a personalized learning experience for students in an inexpensive and scalable manner. At the heart of ML-driven personalized learning is the automated analysis of student responses to assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a54aeb04d2521b6e632f202550b9bd85
https://hdl.handle.net/20.500.11850/455580
https://hdl.handle.net/20.500.11850/455580