Sujith Gowda
Sujith Gowda
Alpha Data Labs, LLC
Verified email at alphadatalabs.com
Title
Cited by
Cited by
Year
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra.
RSJ d Baker, SM Gowda, M Wixon, J Kalka, AZ Wagner, A Salvi, V Aleven, ...
International Educational Data Mining Society, 2012
1602012
Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes
ZA Pardos, RSJD Baker, MOCZ San Pedro, SM Gowda, SM Gowda
Proceedings of the third international conference on learning analytics and …, 2013
1512013
Population validity for Educational Data Mining models: A case study in affect detection
J Ocumpaugh, R Baker, S Gowda, N Heffernan, C Heffernan
British Journal of Educational Technology 45 (3), 487-501, 2014
1222014
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes.
ZA Pardos, RSJD Baker, MOCZ San Pedro, SM Gowda, SM Gowda
Journal of Learning Analytics 1 (1), 107-128, 2014
1132014
Contextual slip and prediction of student performance after use of an intelligent tutor
RSJ d Baker, AT Corbett, SM Gowda, AZ Wagner, BA MacLaren, ...
International conference on user modeling, adaptation, and personalization …, 2010
1102010
The sum is greater than the parts: Ensembling models of student knowledge in educational software
ZA Pardos, SM Gowda, RSJ Baker, NT Heffernan
ACM SIGKDD explorations newsletter 13 (2), 37-44, 2012
812012
Automatically detecting a student's preparation for future learning: Help use is key
RSJD Baker, S Gowda, A Corbett
Educational data mining 2011, 2010
812010
Ensembling predictions of student knowledge within intelligent tutoring systems
RSJ d Baker, ZA Pardos, SM Gowda, BB Nooraei, NT Heffernan
International conference on user modeling, adaptation, and personalization …, 2011
562011
Towards predicting future transfer of learning
RSJ d Baker, SM Gowda, AT Corbett
International Conference on Artificial Intelligence in Education, 23-30, 2011
522011
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra
RSJD Baker, S Gowda, M Wixon, J Kalka, A Wagner, A Salvi, V Aleven, ...
Educational Data Mining 2012, 2012
492012
Towards an understanding of affect and knowledge from student interaction with an intelligent tutoring system
MOZ San Pedro, RSJ d Baker, SM Gowda, NT Heffernan
International Conference on Artificial Intelligence in Education, 41-50, 2013
482013
Towards automatically detecting whether student learning is shallow
RSJD Baker, SM Gowda, AT Corbett, J Ocumpaugh
International Conference on Intelligent Tutoring Systems, 444-453, 2012
362012
Predicting robust learning with the visual form of the moment-by-moment learning curve
RS Baker, A Hershkovitz, LM Rossi, AB Goldstein, SM Gowda
Journal of the Learning Sciences 22 (4), 639-666, 2013
282013
An analysis of the differences in the frequency of students' disengagement in urban, rural, and suburban high schools
RSJ Baker, SM Gowda
Educational Data Mining 2010, 2010
282010
Extending log-based affect detection to a multi-user virtual environment for science
RS Baker, J Ocumpaugh, SM Gowda, AM Kamarainen, SJ Metcalf
International Conference on user modeling, adaptation, and personalization …, 2014
272014
Predicting future learning better using quantitative analysis of moment-by-moment learning
A Hershkovitz, R Baker, SM Gowda, AT Corbett
Educational Data Mining 2013, 2013
202013
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System.
ZA Pardos, SM Gowda, RSJ de Baker, NT Heffernan
EDM, 189-198, 2011
202011
Exploring the relationships between design, students’ affective states, and disengaged behaviors within an ITS
LS Doddannara, SM Gowda, RSJ d Baker, SM Gowda, ...
International Conference on Artificial Intelligence in Education, 31-40, 2013
172013
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.
SM Gowda, JP Rowe, RSJ de Baker, M Chi, KR Koedinger
EDM 2011, 199-208, 2011
172011
Towards automatically detecting whether student learning is shallow
SM Gowda, RS Baker, AT Corbett, LM Rossi
International journal of artificial intelligence in education 23 (1), 50-70, 2013
152013
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