Publications

For publications after 2022, please visit TRAIL Lab.

All papers are publicly available at my Google Scholar page.

Journal Papers

• Matayoshi, J., Karumbaiah, S. (2022) Analyzing Transitions in Sequential Data with Marginal Models. Journal of Educational Data Mining (JEDM).
• Karumbaiah, S., Baker, R.S., Ocumpaugh, J., Andres, J.M.A.L. (2021) A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning. IEEE Transactions on Affective Computing (IEEE TAC).
• Karumbaiah, S., Ocumpaugh, J., Baker, R.S. (2021) Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology. International Journal of Artificial Intelligence in Education (IJAIED).
• Baker, R.S., Gašević, D., Karumbaiah, S. (2021) Four paradigms in learning analytics: Why paradigm convergence matters. Computers and Education: Artificial Intelligence.
• Matayoshi, J., Karumbaiah, S. (2020) Adjusting the L Statistic when Self-Transitions are Excluded in Affective Dynamics. Journal of Educational Data Mining (JEDM).
• Crossley, S.A., Karumbaiah, S., Ocumpaugh, J., Labrum, M., Baker, R.S. (2020) Predicting Math Identity through Language and Click-stream Patterns in a Blended Learning Mathematics Program for Elementary Students. Journal of Learning Analytics (JLA).

Conference Full Papers in Stringently Refereed Proceedings

(avg acceptance rate ~22%)

• Karumbaiah, S., Borchers, C., Shou, T., Falhs, AC., Liu, P., Nagashima, T., Rummel, N., Aleven, V. (2023) A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-enabled Classroom. 24th International Conference on Artificial Intelligence in Education (AIED).
• Karumbaiah, S., Baker, R.S., Tao, Y., Liu., Z. (2022) How does Students’ Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy. 12th International Learning Analytics and Knowledge Conference (ACM LAK).
• Karumbaiah, S., Lan, A., Nagpal, S., Baker, R.S., Botelho, A., Heffernan, N. (2021) Using Past Data to Warm Start Active Machine Learning: Does Context Matter? 11th International Learning Analytics and Knowledge Conference (ACM LAK) Nominated for Best Paper Award
• Matayoshi, J., Karumbaiah, S. (2021) Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining. 13th International Conference on Educational Data Mining (EDM).
• Karumbaiah, S., Brooks, J. (2021) How Colonial Continuities Underlie Algorithmic Injustices in Education. IEEE Research in Equity and Sustained Participation in Engineering, Computing, and Technology (IEEE RESPECT).
• Ocumpaugh, J., Baker, R.S., Karumbaiah, S., Crossley, S.A., Labrum, M., (2020) Affective Sequences and Student Actions Within Reasoning Mind. 21st International Conference on Artificial Intelligence in Education (AIED).
• Karumbaiah, S., Baker, R.S. (2020) Studying Affect Dynamics using Epistemic Networks. 2nd International Conference on Quantitative Ethnography (ICQE). Nominated for Best Paper Award
• Karumbaiah, S., Baker, R.S., Barany, A., Shute, V. (2019) Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game. 1st International Conference on Quantitative Ethnography (ICQE).
• Karumbaiah, S., Baker, R.S., Ocumpaugh, J. (2019) The Case of Self-Transitions in Affective Dynamics. 20th International Conference on Artificial Intelligence in Education (AIED).
• Karumbaiah, S., Ocumpaugh, J., Baker, R.S. (2019) The Influence of School Demographics on the Relationship Between Students’ Help-Seeking Behavior and Performance and Motivational Measures. 11th International Conference on Educational Data Mining (EDM).
• Crossley, S.A., Karumbaiah, S., Ocumpaugh, J., Labrum, M., Baker, R.S. (2019) Predicting Math Success in an Online Tutoring System Using Language Data and Click-stream Variables: A longitudinal analysis. 2nd Conference on Language, Data and Knowledge (LDK).
• Georgila, K., Core, M. G., Nye, B., Karumbaiah, S., Auerbach, D., Ram, M. (2019) Using Reinforcement Learning to Optimize the Policies of an Intelligent Tutoring System for Interpersonal Skills Training. 17th International Conference on Autonomous Agents and Multiagent Systems (AAMS).
• Andres, J.M.A.L., Ocumpaugh, J., Baker, R., Slater, S., Paquette, L., Karumbaiah, S., Jiang, Y., Bosch, N., Munshi, A., Moore, A., Biswas, G. (2019) Affect Sequences and Learning in Betty’s Brain. 9th International Conference on Learning Analytics and Knowledge (LAK).
• Karumbaiah, S., Baker, R.S., Shute, V. (2018) Predicting Quitting in Students Playing a Learning Game. 11th International Conference on Educational Data Mining (EDM). Nominated for Best Paper Award
• Nye, B. D., Karumbaiah, S., Tokel, S. T., Core, M. G., Stratou, G., Auerbach, D., & Georgila, K. (2018) Engaging with the Scenario: Affect and Facial Patterns from a Scenario-Based Intelligent Tutoring System. 19th International Conference on Artificial Intelligence in Education (AIED).
• Karumbaiah, S., Andres, J.M.A.L., Botelho, A.F., Baker, R.S., Ocumpaugh, J. (2018) The Implications of a Subtle Difference in the Calculation of Affect Dynamics. 26th International Conference on Computers in Education (ICCE). Nominated for Best Paper Award
• Karumbaiah, S., Lizarralde, R., Allessio, D., Woolf, B.P., Arroyo, I., Wixon, N. (2017) Addressing Student Behavior and Affect with Empathy and Growth Mindset. 10th International Conference on Educational Data Mining (EDM).

Peer-Reviewed Conference Short Papers and Poster Papers

• Karumbaiah, S., Borchers, C., Falhs, AC., Holstein, K., Rummel, N., Aleven, V. (2023). Teacher Noticing and Student Learning in Human-AI Partnered Classrooms: A Multimodal Analysis. 18th International Conference of the Learning Sciences (ICLS).
• Shou, T., Borchers, C., Karumbaiah, S., Aleven, V. (2023) Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. 15th International Conference on Educational Data Mining (EDM).
• Karumbaiah, S., Zhang, J., Baker, R. S., Scruggs, R., Cade, W., Clements, M., Lin, S. (2022). Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. 14th International Conference on Educational Data Mining (EDM).
• Matayoshi, J., Karumbaiah, S. (2021) Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions. 11th International Learning Analytics and Knowledge Conference (LAK).
• Tywoniw, R., Crossley, S.A., Ocumpaugh, J., Karumbaiah, S., Baker R. (2020) Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System. 21st International Conference on Artificial Intelligence in Education (AIED).
• Lan, A., Botelho, A., Karumbaiah, S., Baker, R.S., Heffernan, N. (2020) Accurate and Interpretable Sensor-free Affect Detectors via Monotonic Neural Networks. 10th International Conference on Learning Analytics and Knowledge (LAK).

Peer-Reviewed Posters and Workshop Papers/Presentations

• Karumbaiah, S., Brooks, J. (2021) Decoloniality as a Lens of Ethical Foresight for Learning Analytics. Workshop on Towards a Philosophical Framework for Learning Analytics at the 11th International Learning Analytics and Knowledge Conference (LAK).
• Hutt, S., Karumbaiah, S., Ocumpaugh, J. (2021) Optimizing philosophies for predictive models in learning analytics. Workshop on Towards a Philosophical Framework for Learning Analytics at the 11th International Learning Analytics and Knowledge Conference (LAK).
• Karumbaiah, S., Ocumpaugh, J., Labrum, M., Baker, R.S. (2019) Temporally Rich Features Capture Variable Performance Associated with Elementary Students’ Lower Math Self-concept. Workshop on Online Learning and social-Emotional Learning at the 9th International Conference on Learning Analytics and Knowledge (LAK).
• Karumbaiah, S., Dabholkar, S., Shim, J., Yoon, S., Chandy, B., Ye, A. (2019) Using Participatory Design to Facilitate In-service Teacher Learning in Computational Thinking. 13th International Conference on Computer Supported Collaborative Learning (CSCL).
• Karumbaiah, S., Rahimi, S., Baker, R.S., Shute, V., D’Mello, S.K. (2018) Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding? 13th International Conference of the Learning Sciences (ICLS).
• Nye, B., Karumbaiah, S., Tokel, S. T., Core, M. G., Stratou, G., Auerbach, D., & Georgila, K. (2017) Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System. 18th International Conference on Artificial Intelligence in Education (AIED).
• Karumbaiah, S., Wright, R. T., Durcikova, A., & Jensen, M. L. (2016) Phishing training: A Preliminary Look at the Effects of Different Types of Training. 11th Pre-ICIS Workshop on Information Security and Privacy (WISP).