Shamya Karumbaiah

Orcid: 0000-0002-7920-4510

According to our database1, Shamya Karumbaiah authored at least 30 papers between 2017 and 2024.

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Bibliography

2024
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023
A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning.
IEEE Trans. Affect. Comput., 2023

Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Multimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022
Improving Phishing Reporting Using Security Gamification.
J. Manag. Inf. Syst., 2022

Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology.
Int. J. Artif. Intell. Educ., 2022

How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021
Four paradigms in learning analytics: Why paradigm convergence matters.
Comput. Educ. Artif. Intell., 2021

How Colonial Continuities Underlie Algorithmic Injustices in Education.
Proceedings of the 2021 Conference on Research in Equitable and Sustained Participation in Engineering, 2021

Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Using Past Data to Warm Start Active Machine Learning: Does Context Matter?
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students.
J. Learn. Anal., March, 2020

Studying Affect Dynamics Using Epistemic Networks.
Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Affective Sequences and Student Actions Within Reasoning Mind.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis.
Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

Affect Sequences and Learning in Betty's Brain.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game.
Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.
Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

Using Reinforcement Learning to Optimize the Policies of an Intelligent Tutoring System for Interpersonal Skills Training.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Case of Self-transitions in Affective Dynamics.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding?
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Predicting Quitting in Students Playing a Learning Game.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Engaging with the Scenario: Affect and Facial Patterns from a Scenario-Based Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Addressing Student Behavior and Affect with Empathy and Growth Mindset.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017


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