Nidhi Nasiar

According to our database, Nidhi Nasiar authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Qualitative Coding with GPT-4: Where it Works Better.

Xiner Liu, Andres Felipe Zambrano, Ryan S. Baker, Amanda Barany, Jaclyn Ocumpaugh, Jiayi Zhang, Maciej Pankiewicz, Nidhi Nasiar, Zhanlan Wei

J. Learn. Anal., 2025

Predicting Student Reasoning for Self-Reported Affect in Game-Based Learning Environments.

Jordan Esiason, Alex Goslen, Andres Felipe Zambrano, Nidhi Nasiar, Stephen Hutt, Jonathan P. Rowe, Jaclyn Ocumpaugh, Jessica Vandenberg

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Refocusing the lens through which we view affect dynamics: The Skills, Difficulty, Value, Efficacy and Time Model.

Jaclyn Ocumpaugh, Nidhi Nasiar, Andres Felipe Zambrano, Alex Goslen, Jessica Vandenberg, Jordan Esiason, Jonathan P. Rowe, Stephen Hutt

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

XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction.

Haejin Lee, Clara Belitz, Nidhi Nasiar, Nigel Bosch

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

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability.

Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data.

Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch

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

2024

Student Perspectives on Expressing Academic Emotions in Digital Game-Based Learning.

Alex Goslen, Jessica Vandenberg, Andres Felipe Zambrano, Nidhi Nasiar, Stephen Hutt, Jaclyn Ocumpaugh, Jonathan P. Rowe

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 2, 2024

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics.

Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch

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

Says Who? How different ground truth measures of emotion impact student affective modeling.

Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Same Learning Platform, Different Types of Research: A National-Level Analysis.

Nidhi Nasiar, Ryan S. Baker, Juliana Ma. Alexandra L. Andres, Namrata Srivastava

Proceedings of the 17th International Conference on Educational Data Mining, 2024

ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development.

Amanda Barany, Nidhi Nasiar, Chelsea Porter, Andres Felipe Zambrano, Juliana Ma. Alexandra L. Andres, Dara Bright, Mamta Shah, Xiner Liu, Sabrina Gao, Jiayi Zhang, Shruti Mehta, Jaeyoon Choi, Camille Giordano, Ryan S. Baker

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

2023

From nCoder to ChatGPT: From Automated Coding to Refining Human Coding.

Andres Felipe Zambrano, Xiner Liu, Amanda Barany, Ryan S. Baker, Juhan Kim, Nidhi Nasiar

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge.

Andres Felipe Zambrano, Amanda Barany, Jaclyn Ocumpaugh, Nidhi Nasiar, Stephen Hutt, Alex Goslen, Jonathan P. Rowe, James C. Lester, Eric N. Wiebe, Bradford W. Mott

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning.

Nidhi Nasiar, Andres Felipe Zambrano, Jaclyn Ocumpaugh, Stephen Hutt, Alexis Goslen, Jonathan P. Rowe, James C. Lester, Nathan L. Henderson, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment.

Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Evaluating Gaming Detector Model Robustness Over Time.

Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt

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

How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research?

Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews.

Juliana Ma. Alexandra L. Andres, Stephen Hutt, Jaclyn Ocumpaugh, Ryan S. Baker, Nidhi Nasiar, Chelsea Porter

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Affect-Targeted Interviews for Understanding Student Frustration.

Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021