Author

Sujith M. Gowda

Observed names: GOWDA, Sujith M., Sujith Gowda, Sujith M Gowda

Observed institutions: Worcester Polytechnic Institute, Arizona State University, Columbia University

OpenAlex ID: A5065300917

Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes

2014 · Zach A Pardos, Ryan S.J.D Baker, et al. · Journal of Learning Analytics · 202

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Population validity for educational data mining models: A case study in affect detection

2014 · Jaclyn Ocumpaugh, Ryan Baker, et al. · British Journal of Educational Technology · 177

Affective states and state tests

2013 · Zachary A. Pardos, Ryan S. J. D. Baker, et al. · International Conference on Learning Analytics and Knowledge (LAK) · 162

Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra.

2012 · Ryan S. Baker, Sujith M. Gowda, et al. · 154

Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor

2010 · Ryan S. J. d. Baker, Albert T. Corbett, et al. · Lecture notes in computer science · 120

The sum is greater than the parts

2012 · Zachary A, Pardos, Sujith M. Gowda, et al. · ACM SIGKDD Explorations Newsletter · 87

Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key

2011 · Ryan S. Baker, Sujith M. Gowda, et al. · Educational Data Mining · 64

Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System

2013 · Maria Ofelia Z. San Pedro, Ryan S. J. d. Baker, et al. · Lecture notes in computer science · 61

Towards Predicting Future Transfer of Learning

2011 · Ryan S. J. d. Baker, Sujith M. Gowda, et al. · Lecture notes in computer science · 49

Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve

2013 · Ryan S. Baker, Arnon Hershkovitz, et al. · Journal of the Learning Sciences · 47

Sensor-free automated detection of affect in a Cognitive Tutor for Algebra.

2012 · Ryan S. Baker, Sujith M. Gowda, et al. · Educational Data Mining · 38

Ensembling predictions of student knowledge within intelligent tutoring systems

2011 · Ryan S. Baker, Zachary A. Pardos, et al. · International Conference on User Modeling, Adaptation, and Personalization · 38

Predicting K-12 Dropout

2019 · Ryan S. Baker, Andrew W. Berning, et al. · Journal of Education for Students Placed at Risk (JESPAR) · 35

Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science

2014 · Ryan S. Baker, Jaclyn Ocumpaugh, et al. · Lecture notes in computer science · 33

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems

2011 · Ryan S. J. d. Baker, Zachary A. Pardos, et al. · Lecture notes in computer science · 30

Towards Automatically Detecting Whether Student Learning Is Shallow

2012 · Ryan S. J. D. Baker, Sujith M. Gowda, et al. · Lecture notes in computer science · 29

An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools.

2010 · Ryan S. Baker, Sujith M. Gowda · 26

Exploring the Relationships between Design, Students’ Affective States, and Disengaged Behaviors within an ITS

2013 · Lakshmi S. Doddannara, Sujith M. Gowda, et al. · Lecture notes in computer science · 18

Towards Automatically Detecting Whether Student Learning is Shallow

2013 · Sujith M. Gowda, Ryan S. Baker, et al. · International Journal of Artificial Intelligence in Education · 17

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Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning.

2013 · Arnon Hershkovitz, Ryan S. Baker, et al. · 17

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System

2011 · Zachary A. Pardos, Sujith M. Gowda, et al. · 15

Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.

2011 · Sujith M. Gowda, Jonathan Rowe, et al. · Educational Data Mining · 15

Generalizing automated detection of the robustness of student learning in an intelligent tutor for genetics.

2013 · Ryan S. J. d. Baker, Albert T. Corbett, et al. · Journal of Educational Psychology · 9

Preparing Students for Effective Explaining of Worked Examples in the Genetics Cognitive Tutor

2011 · Albert T. Corbett, Benjamin A. MacLaren, et al. · eScholarship (California Digital Library) · 7

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Differentiating Military-Connected and Non-Military-Connected Students: Predictors of Graduation and SAT Score

2020 · Ryan Shaun Baker, Andy Berning, et al. · EdArXiv (OSF Preprints) · 3

Works count: 30

Citation count: 1,457

H-index: 18

I10-index: 22