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ORCIDDavid Allbritton
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2010 – 2019
- 2017
[j4]Peggy Y. Kim, Jonathan P. Wanderer
, David Allbritton, Matthias Eikermann, Keith Baker:
Anesthesia Residents Preferentially Request Operating Room Case Assignments with Complex Cases. J. Medical Syst. 41(4): 64:1-64:11 (2017)- 2010
- [c5]Peter M. Hastings, Elizabeth Arnott-Hill, David Allbritton:
Squeezing Out Gaming Behavior in a Dialog-Based ITS. Intelligent Tutoring Systems (1) 2010: 204-213
2000 – 2009
- 2006
- [j3]Sandra Katz, David Allbritton, John M. Aronis, Christine Wilson, Mary Lou Soffa:
Gender, achievement, and persistence in an undergraduate computer science program. Data Base 37(4): 42-57 (2006) - 2004
- [c4]Sandra Katz, David Allbritton, John M. Aronis, Christine Wilson, Mary Lou Soffa:
Increasing Diversity in the Information Technology Workforce: Implications from a Study of Factors that Predict Achievement in CS. ICLS 2004 - [c3]Peter M. Wiemer-Hastings, David Allbritton, Elizabeth Arnott:
RMT: A Dialog-Based Research Methods Tutor With or Without a Head. Intelligent Tutoring Systems 2004: 614-623 - 2003
- [j2]Sandra Katz, David Allbritton, John Connelly:
Going Beyond the Problem Given: How Human Tutors Use Post-Solution Discussions to Support Transfer. Int. J. Artif. Intell. Educ. 13(1): 79-116 (2003) - [j1]Sandra Katz, John M. Aronis, David Allbritton, Christine Wilson, Mary Lou Soffa:
Gender and race in predicting achievement in computer science. IEEE Technol. Soc. Mag. 22(3): 20-27 (2003) - [c2]Sandra Katz, John M. Aronis, David Allbritton, Christine Wilson, Mary Lou Soffa:
A study to identify predictors of achievement in an introductory computer science course. CPR 2003: 157-161 - 2002
- [c1]Sandra Katz, David Allbritton:
Going Beyond the Problem Given: How Human Tutors Use Post-practice Discussions to Support Transfer. Intelligent Tutoring Systems 2002: 641-650
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