Sujith M. Gowda

According to our database, Sujith M. Gowda authored at least 21 papers between 2010 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2015

The Antecedents of Moments of Learning.

Gregory R. Moore, Ryan Shaun Baker, Sujith M. Gowda

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

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

Zachary A. Pardos, Ryan S. Baker, Maria Ofelia San Pedro, Sujith M. Gowda, Supreeth M. Gowda

J. Learn. Anal., May, 2014

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

Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan

Br. J. Educ. Technol., 2014

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

Ryan Shaun Baker, Jaclyn Ocumpaugh, Sujith M. Gowda, Amy M. Kamarainen, Shari J. Metcalf

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

2013

Towards Automatically Detecting Whether Student Learning is Shallow.

Sujith M. Gowda, Ryan S. Baker, Albert T. Corbett, Lisa M. Rossi

Int. J. Artif. Intell. Educ., 2013

Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes.

Zachary A. Pardos, Ryan Shaun Joazeiro de Baker, Maria Ofelia Clarissa Z. San Pedro, Sujith M. Gowda, Supreeth M. Gowda

Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

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

Arnon Hershkovitz, Ryan Shaun Baker, Sujith M. Gowda, Albert T. Corbett

Proceedings of the 6th International Conference on Educational Data Mining, 2013

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

Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

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

Lakshmi S. Doddannara, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Supreeth M. Gowda, Adriana M. J. B. de Carvalho

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Content Learning Analysis Using the Moment-by-Moment Learning Detector.

Sujith M. Gowda, Zachary A. Pardos, Ryan Shaun Joazeiro de Baker

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Towards Automatically Detecting Whether Student Learning Is Shallow.

Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett, Jaclyn Ocumpaugh

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

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

Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Michael Wixon, Jessica Kalka, Angela Z. Wagner, Aatish Salvi, Vincent Aleven, Gail Kusbit, Jaclyn Ocumpaugh, Lisa M. Rossi

Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011

The sum is greater than the parts: ensembling models of student knowledge in educational software.

Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan

SIGKDD Explor., 2011

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems.

Ryan Shaun Joazeiro de Baker, Zachary A. Pardos, Sujith M. Gowda, Bahador B. Nooraei, Neil T. Heffernan

Proceedings of the User Modeling, Adaption and Personalization, 2011

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

Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan

Proceedings of the 4th International Conference on Educational Data Mining, 2011

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

Sujith M. Gowda, Jonathan P. Rowe, Ryan Shaun Joazeiro de Baker, Min Chi, Kenneth R. Koedinger

Proceedings of the 4th International Conference on Educational Data Mining, 2011

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

Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett

Proceedings of the 4th International Conference on Educational Data Mining, 2011

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

Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan S. Baker, Sujith M. Gowda

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Towards Predicting Future Transfer of Learning.

Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010

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

Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Sujith M. Gowda, Angela Z. Wagner, Benjamin A. MacLaren, Linda R. Kauffman, Aaron P. Mitchell, Stephen Giguere

Proceedings of the User Modeling, 2010

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

Ryan Shaun Joazeiro de Baker, Sujith M. Gowda

Proceedings of the Educational Data Mining 2010, 2010