Research

How do children and adults learn and think about math, data, science, and programming? How do we form abstract knowledge from concrete experiences, and when is that useful? What can this tell us about learning and teaching in the classroom and beyond? My research blends cognitive science, learning science, and educational psychology approaches to try to answer these questions.

Peer-Reviewed Journal Articles

2024

• Jeffrey K. Bye, Jenny Yun-Chen Chan, Avery H. Closser, Ji-Eun Lee, Stacy T. Shaw, & Erin R. Ottmar (2024). Perceiving precedence: Order of operations errors are predicted by perception of equivalent expressions. Journal of Numerical Cognition.
  
• V. N. Vimal Rao, Jeffrey K. Bye, & Sashank Varma (2024). The psychological reality of the learned 'p < .05' boundary. Cognitive Research: Principles and Implications, 9(27).
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• David DeLiema, Jeffrey K. Bye, & Vijay Marupudi (2024). Debugging pathways: Open-ended discrepancy noticing, causal reasoning, and intervening. ACM Transactions on Computing Education, 24(2), 28:1-34.
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2023

• Jeffrey K. Bye, Pei-Jung Chuang, & Patricia W. Cheng (2023). How do humans want causes to combine their effects? The role of analytically-defined causal invariance for generalizable causal knowledge. Cognition, 230, 105303.
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• Emily M. Nagel, Juan David Gonzalez V., Jeffrey K. Bye, Jennifer Super, Ellen W. Demerath, & Sara E. Ramel (2023). Enhanced parenteral nutrition during the first week of life is feasible and tolerated in very low birth weight infants born preterm: Findings from a randomized nutrition intervention study. Neonatology, 120(2), 242-249.
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• Johannah M Scheurer, Erik Norbie, Jeffrey K. Bye, Daniela Villacis-Calderon, Catherine Heith, Anne Woll, Dannell Shu, Kelly McManimon, Heidi Kamrath, & Naomi Goloff (2023). Pediatric end-of-life care skills workshop: A novel, deliberate practice approach. Academic Pediatrics, 23(5), 860-865.
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2022

• Jeffrey K. Bye, Rina M. Harsch, & Sashank Varma (2022). Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis. Journal of Numerical Cognition, 8(2), 281-294.
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• V. N. Vimal Rao, Jeffrey K. Bye, & Sashank Varma (2022). Categorical Perception of p-values. Topics in Cognitive Science, 14(2), 414–425.
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• Jooyong Park, Shannon McGillivray, Jeffrey K. Bye, & Patricia W. Cheng (2022). Causal invariance as a tacit aspiration: Analytic knowledge of invariance functions. Cognitive Psychology, 132, 101432.
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2020

• Michèle M. M. Mazzocco, Jenny Yun-Chen Chan, Jeffrey K. Bye, Emily R. Padrutt, Taylor Praus-Singh, Sarah Lukowski, Ethan Brown, & Rachel E. Olson (2020). Attention to numerosity varies across individuals and task contexts. Mathematical Thinking and Learning, 22(4), 258-280.
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2016

• Val L. Collins, Venuz Y. Greenfield, Jeffrey K. Bye, Kay E. Linker, Alice S. Wang, & Kate M. Wassum (2016). Dynamic mesolimbic dopamine signaling during action sequence learning and expectation violation. Scientific Reports, 6, 20231.
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Peer-Reviewed Conference Proceeding Papers

2023

• Andrea Wilson Vazquez, David DeLiema, Megan Goeke, & Jeffrey K. Bye (2023). Debugging debugging instruction: A research-practice partnership in K-8 computer science education. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023, (pp. 2275-2278).
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2022

• V. N. Vimal Rao, Jeffrey K. Bye, & Sashank Varma (2022). Graduate students' effect size categorical boundaries. In Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022).
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2021

• Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, & Sashank Varma (2021). The role of clustering in the efficient solution of small traveling salesperson problems. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, (pp. 1865-1871).
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2020

• Jeffrey K. Bye, Pei-Jung Chuang, Lauren E. Anthony, & Patricia W. Cheng (2020). Teaching the purpose and meaning of algebraic variables through systems-of-equations story problems: Multimedia approaches. In Proceedings of the 14th International Conference of the Learning Sciences - ICLS 2020, (pp. 1799-1800).
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2014

• Jeffrey K. Bye, Bryan D. Nguyen, Hongjing Lu, & Scott P. Johnson (2014). Anticipating an effect from predictive visual sequences: Development of infants' causal inference from 9 to 18 months. In Proceedings of the 36th Annual Meeting of the Cognitive Science Society, (pp. 1976-1981).
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