Shamya Karumbaiah

According to our database, Shamya Karumbaiah authored at least 42 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Bias or Insufficient Sample Size? Improving Reliable Estimation of Algorithmic Bias for Minority Groups.

Jaeyoon Choi, Shamya Karumbaiah, Jeffrey Matayoshi

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Responsible AI in Education: Understanding Teachers' Priorities and Contextual Challenges.

Yaxuan Yin, Shamya Karumbaiah, Shona Acquaye

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Prompt vs. Supervise: A Case of Using Language Models to Assess Students' Science Explanations.

Shamya Karumbaiah, Ananya Ganesh, Shanglin Yang, Nora Tseng

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

Teacher Agency in Implementing Automated Writing Evaluation Systems in a Science Classroom: A Focus Group Study.

Yitong Fu, Shamya Karumbaiah, Xunyi Gao, Jais Brohinsky, Dana Gnesdilow, Sadhana Puntambekar

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

Authenticity or Alienation: Latine Students' Perceptions of Stereotypes in AI-Generated Educational Materials.

Jihyun Rho, Shamya Karumbaiah

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

AIBAT: AI Behavior Analysis Tool for Teacher-Driven Contextual Evaluation of Language Models in Education.

Shamya Karumbaiah, Yaxuan Yin, Aayush Bharadwaj

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Teacher Perceptions on AI Support for Bi/multilingual Learners: Superpowers and Constraints.

Alina Guha, Shamya Karumbaiah, Cynthia Baeza, Mariana Castro, Kiyo White, Diego Roman

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

A Comparative Analysis of LLM and Specialized NLP System for Automated Assessment of Science Content.

Xunyi Gao, Shamya Karumbaiah, Adi Dalal, Indrani Dey, Dana Gnesdilow, Sadhana Puntambekar

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education.

Anand Syamkumar, Nora Tseng, Kaycie Barron, Shanglin Yang, Shamya Karumbaiah, Rheeya Uppal, Junjie Hu

CoRR, 2024

Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis.

Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Leveraging Multimodal Classroom Data for Teacher Reflection: Teachers' Preferences, Practices, and Privacy Considerations.

Kexin Bella Yang, Conrad Borchers, Ann-Christin Falhs, Vanessa Echeverría, Shamya Karumbaiah, Nikol Rummel, Vincent Aleven

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Evaluating Behaviors of General Purpose Language Models in a Pedagogical Context.

Shamya Karumbaiah, Ananya Ganesh, Aayush Bharadwaj, Lucas Anderson

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning.

Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres

IEEE Trans. Affect. Comput., 2023

Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.

Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven

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.

Shamya Karumbaiah, Pinyang Liu, Alisa Maksimova, Lea De Vylder, Nikol Rummel, Vincent Aleven

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.

Shamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Improving Phishing Reporting Using Security Gamification.

Matthew L. Jensen, Ryan T. Wright, Alexandra Durcikova, Shamya Karumbaiah

J. Manag. Inf. Syst., 2022

Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology.

Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker

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.

Shamya Karumbaiah, Ryan Baker, Yan Tao, Ziyang Liu

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.

Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Four paradigms in learning analytics: Why paradigm convergence matters.

Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah

Comput. Educ. Artif. Intell., 2021

How Colonial Continuities Underlie Algorithmic Injustices in Education.

Shamya Karumbaiah, Jamiella Brooks

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.

Jeffrey Matayoshi, Shamya Karumbaiah

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?

Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan

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.

Jeffrey Matayoshi, Shamya Karumbaiah

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.

Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker

J. Learn. Anal., March, 2020

Studying Affect Dynamics Using Epistemic Networks.

Shamya Karumbaiah, Ryan S. Baker

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.

Rurik Tywoniw, Scott A. Crossley, Jaclyn Ocumpaugh, Shamya Karumbaiah, Ryan Baker

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Affective Sequences and Student Actions Within Reasoning Mind.

Jaclyn Ocumpaugh, Ryan S. Baker, Shamya Karumbaiah, Scott A. Crossley, Matthew J. Labrum

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.

Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker

Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

Affect Sequences and Learning in Betty's Brain.

Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas

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.

Shamya Karumbaiah, Ryan S. Baker, Amanda Barany, Valerie Shute

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.

Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.

Shamya Karumbaiah, Sugat Dabholkar, Jooeun Shim, Susan A. Yoon, Betty Chandy, Andy Ye

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.

Kallirroi Georgila, Mark G. Core, Benjamin D. Nye, Shamya Karumbaiah, Daniel Auerbach, Maya Ram

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Case of Self-transitions in Affective Dynamics.

Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh

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?

Shamya Karumbaiah, Seyedahmad Rahimi, Ryan Baker, Valerie Shute, Sidney D'Mello

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

The Implications of a Subtle Difference in the Calculation of Affect Dynamics.

Shamya Karumbaiah, Juliana Ma. Alexandra L. Andres, Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh

Proceedings of the Proceeding of the 26th International Conference on Computers in Education, 2018

Predicting Quitting in Students Playing a Learning Game.

Shamya Karumbaiah, Ryan S. Baker, Valerie J. Shute

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.

Benjamin D. Nye, Shamya Karumbaiah, S. Tugba Tokel, Mark G. Core, Giota Stratou, Daniel Auerbach, Kallirroi Georgila

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Addressing Student Behavior and Affect with Empathy and Growth Mindset.

Shamya Karumbaiah, Rafael Lizarralde, Danielle Allessio, Beverly P. Woolf, Ivon Arroyo

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System.

Benjamin Nye, Shamya Karumbaiah, S. Tugba Tokel, Mark G. Core, Giota Stratou, Daniel Auerbach, Kallirroi Georgila

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017