🎓 google scholar

writing in review

  1. Wang, Y., Renbarger, R., Boyd, T., Bolger, E., Finkelstein, N., Henderson, C., Caballero, M. D., Beach, A., & Simkins, S. (2026). Facilitating systemic change in undergraduate engineering education: A literature meta-synthesis on change strategies.

  2. Bolger, E., Renbarger, R., Boyd, T., Wang, Y., Caballero, M. D., Finkelstein, N., Simkins, S., Henderson, C., & Beach, A. (2026). Integrating machine learning into systematic literature reviews: Advancing a human-in-the-loop framework.

books, edited volumes, and chapters

  1. Caballero, M. D. (Ed.). (2025). Integrating computing into the undergraduate physics curriculum. IOP Publishing. https://doi.org/10.1088/978-0-7503-5372-4

    • Caballero, M. D. (2025). Integrating computing in physics courses [Book Chapter]. In Integrating computing into the undergraduate physics curriculum (pp. 1-1 to 1-14). IOP Publishing. https://doi.org/10.1088/978-0-7503-5372-4ch1

    • Caballero, M. D. (2025). Where can we go from here? [Book Chapter]. In Integrating computing into the undergraduate physics curriculum (pp. 14-1 to 14-17). IOP Publishing. https://doi.org/10.1088/978-0-7503-5372-4ch14

invited articles and papers

  1. Caballero, M. D., & Odden, T. O. B. (2024). Computing in physics education. Nature Physics, 20(3), 339–341. https://doi.org/10.1038/s41567-023-02371-2

  2. Young, N. T., Tollefson, K., & Caballero, M. D. (2023). Making graduate admissions in physics more equitable. Physics Today, 76(7), 40–45. https://doi.org/10.1063/PT.3.5271

  3. Odden, T. O. B., & Caballero, M. D. (2023). Physics Computational Literacy: What, Why, and How? In The International Handbook of Physics Education Research: Learning Physics. AIP Publishing LLC. https://doi.org/10.1063/9780735425477_019

  4. Knaub, A. V., Aiken, J. M., & Caballero, M. D. (2019). Editorial: Focused Collection: Quantitative Methods in PER: A Critical Examination. Physical Review Physics Education Research, 15, 020001. https://doi.org/10.1103/PhysRevPhysEducRes.15.020001

  5. Caballero, M. D., & Hjorth-Jensen, M. (2018). Integrating a Computational Perspective in Physics Courses. In S. Magazù (Ed.), New Trends in Physics Education Research (pp. 47–76). Nova Science Publishers.

  6. Caballero, M. D. (2017). Taking A Scientific Approach To Physics Education. Student Journal of Physics, 6(1). https://www.iopb.res.in/~sjp/sjp_past_issues/V6N1/1.pdf

  7. Caballero, M. D., Kohlmyer, M. A., & F., M. (2011). Fostering Computational Thinking. In N. S. Rebello, P. V. Engelhardt, & C. Singh (Eds.), 2011 Physics Education Research Conference Proceedings (pp. 15–18). https://doi.org/10.1063/1.3679982

  8. Bujak, K. R., Caballero, M. D., Schatz, M. F., Marr, M. J., & Catrambone, R. (2011). Comparing the Matter and Interactions Curriculum with a Traditional Physics Curriculum: A Think Aloud Study. 2011 AERA Conference Proceedings. https://arxiv.org/abs/1011.5449v1

conference reports

  1. Caballero, M. D., Engelhardt, L., Knaub, A. V., Kuchera, M., Puerto, M. L. del, Lunk, B., Roos, K., & Zimmerman, T. (2022). 2021 PICUP Virtual Capstone Conference Report (R. C. Hilborn, Ed.). American Association of Physics Teachers. https://www.compadre.org/picup//events/pdfs/2021_PICUP_Capstone_Report_Final_Final_220502.pdf

  2. Caballero, M. D., Engelhardt, L., Hilborn, R., Puerto, M. L. del, & Roos, K. (2019). PICUP: The Partnership for the Integration of Computation into Undergraduate Physics. APS News, 28(3). https://www.aps.org/publications/apsnews/201903/backpage.cfm

  3. Caballero, M. D., Dounas-Frazer, D. R., Lewandowski, H. J., & Stetzer, M. R. (2018). Labs are Necessary, and We Need to Invest in Them. APS News, 27(5). https://www.aps.org/publications/apsnews/201805/backpage.cfm

articles appearing in peer-reviewed journals

  1. Stroupe, D., Byun, S., Christensen, J., Ortiz, N., Willison, J., Reinholz, D. L., & Caballero, M. D. (2026). Supporting teachers to integrate computational practices and design opportunities for equitable participation in science classrooms. Cognition and Instruction, 44(2), 110–152. https://doi.org/10.1080/07370008.2026.2630727

  2. Byun, S., Brennan, L., Christensen, J., Ortiz, N., Shah, N., Reinholz, D., Stroupe, D., & Caballero, M. D. (2026). Equity-focused coaching: Negotiating teachers’ interpretations of racialized and gendered participation patterns. Journal of Teacher Education, 77(3), 212–229. https://doi.org/10.1177/00224871261417322

  3. Sabo, H. C., Odden, T. O. B., & Caballero, M. D. (2026). How do we assess computation in physics? The Physics Teacher, 64(3), 200–203. https://doi.org/10.1119/5.0174333

  4. Bolger, E., Nwobi, M., & Caballero, M. D. (2025). Characterizing faculty online learning community interactions using social network analysis. Phys. Rev. Phys. Educ. Res., 21, 020133. https://doi.org/10.1103/n3yf-5h29

  5. Geschwind, G., Vignal, M., Caballero, M. D., & Lewandowski, H. J. (2024). Evidence for validity and reliability of a research-based assessment instrument on measurement uncertainty. Phys. Rev. Phys. Educ. Res., 20, 020125. https://doi.org/10.1103/PhysRevPhysEducRes.20.020125

  6. Geschwind, G., Vignal, M., Caballero, M. D., & Lewandowski, H. J. (2024). Using a research-based assessment instrument to explore undergraduate students’ proficiencies around measurement uncertainty in physics lab contexts. Phys. Rev. Phys. Educ. Res., 20, 020105. https://doi.org/10.1103/PhysRevPhysEducRes.20.020105

  7. Cooper, M. M., Caballero, M. D., Carmel, J. H., Duffy, E. M., Ebert-May, D., Fata-Hartley, C. L., Herrington, D. G., Laverty, J. T., Nelson, P. C., Posey, L. A., Stoltzfus, J. R., Stowe, R. L., Sweeder, R. D., Tessmer, S., & Underwood, S. M. (2024). Beyond active learning: Using 3-dimensional learning to create scientifically authentic, student-centered classrooms. Plos One, 19(5), e0295887. https://doi.org/10.1371/journal.pone.0295887

  8. Vignal, M., Geschwind, G., Pollard, B., Henderson, R., Caballero, M. D., & Lewandowski, H. J. (2023). Survey of physics reasoning on uncertainty concepts in experiments: An assessment of measurement uncertainty for introductory physics labs. Phys. Rev. Phys. Educ. Res., 19, 020139. https://doi.org/10.1103/PhysRevPhysEducRes.19.020139

  9. Young, N. T., Verboncoeur, N., Lam, D. C., & Caballero, M. D. (2023). Rubric-based holistic review represents a change from traditional graduate admissions approaches in physics. Phys. Rev. Phys. Educ. Res., 19, 010134. https://doi.org/10.1103/PhysRevPhysEducRes.19.010134

  10. Young, N. T., Tollefson, K., Zegers, R. G. T., & Caballero, M. D. (2022). Rubric-based holistic review: A promising route to equitable graduate admissions in physics. Phys. Rev. Phys. Educ. Res., 18, 020140. https://doi.org/10.1103/PhysRevPhysEducRes.18.020140

  11. Hamerski, P. C., McPadden, D., Caballero, M. D., & Irving, P. W. (2022). Students’ perspectives on computational challenges in physics class. Phys. Rev. Phys. Educ. Res., 18, 020109. https://doi.org/10.1103/PhysRevPhysEducRes.18.020109

  12. Weller, D. P., Bott, T. E., Caballero, M. D., & Irving, P. W. (2022). Development and illustration of a framework for computational thinking practices in introductory physics. Phys. Rev. Phys. Educ. Res., 18, 020106. https://doi.org/10.1103/PhysRevPhysEducRes.18.020106

  13. Wilson, J., Pollard, B., Aiken, J. M., Caballero, M. D., & Lewandowski, H. J. (2022). Classification of open-ended responses to a research-based assessment using natural language processing. Physical Review Physics Education Research. https://doi.org/10.1103/PhysRevPhysEducRes.18.010141

  14. Sand, O. P., Caballero, M. D., Mørken, K. M., & Lockwood, E. (2022). Three Cases That Demonstrate How Students Connect the Domains of Mathematics and Computing. Journal of Mathematical Behavior. https://doi.org/10.1016/j.jmathb.2022.100955

  15. Sand, O. P., Lockwood, E., Caballero, M. D., & Mørken, K. M. (2022). Students’ Development of a Logarithm Function in Python Using Taylor Expansions: A Teaching Design Case Study. Digital Experiences in Mathematics Education. https://doi.org/10.1007/s40751-022-00104-3

  16. Pollard, B., Hobbs, R., Henderson, R., Caballero, M. D., & Lewandowski, H. J. (2021). Introductory physics lab instructors’ perspectives on measurement uncertainty. Physical Review Physics Education Research, 17, 010133. https://doi.org/10.1103/PhysRevPhysEducRes.17.010133

  17. Young, N. T., & Caballero, M. D. (2021). Predictive and Explanatory Models Might Miss Informative Features in Educational Data. Journal of Educational Data Mining, 13(4), 31–86. https://doi.org/10.5281/zenodo.5806830

  18. Young, N. T., & Caballero, M. D. (2021). Physics Graduate Record Exam does not help applicants “stand out”. Physical Review Physics Education Research, 17, 010144. https://doi.org/10.1103/PhysRevPhysEducRes.17.010144

  19. Aiken, J. M., De Bin, R., Lewandowski, H. J., & Caballero, M. D. (2021). Framework for evaluating statistical models in physics education research. Physical Review Physics Education Research, 17, 020104. https://doi.org/10.1103/PhysRevPhysEducRes.17.020104

  20. Mikkelsen, N. J., Young, N. T., & Caballero, M. D. (2021). Investigating institutional influence on graduate program admissions by modeling physics graduate record examination cutoff scores. Physical Review Physics Education Research, 17, 010109. https://doi.org/10.1103/PhysRevPhysEducRes.17.010109

  21. Aiken, J. M., De Bin, R., Hjorth-Jensen, M., & Caballero, M. D. (2020). Predicting time to graduation at a large enrollment american university. PLOS ONE, 15(11). https://doi.org/10.1371/journal.pone.0242334

  22. Irving, P. W., McPadden, D., & Caballero, M. D. (2020). Communities of practice as a curriculum design theory in an introductory physics class for engineers. Physical Review Physics Education Research, 16, 020143. https://doi.org/10.1103/PhysRevPhysEducRes.16.020143

  23. Odden, T. O. B., Marin, A., & Caballero, M. D. (2020). Thematic analysis of 18 years of physics education research conference proceedings using natural language processing. Physical Review Physics Education Research, 16, 010142. https://doi.org/10.1103/PhysRevPhysEducRes.16.010142

  24. Pawlak, A., Irving, P. W., & Caballero, M. D. (2020). Learning assistant approaches to teaching computational physics problems in a problem-based learning course. Physical Review Physics Education Research, 16, 010139. https://doi.org/10.1103/PhysRevPhysEducRes.16.010139

  25. Bain, K., Matz, R. L., Fata-Hartley, C. L., Caballero, M. D., Ebert-May, D., Underwood, S. M., Carmel, J. H., Herrington, D. G., Laverty, J. T., Duffy, E. M., Stoltzfus, J. R., Bender, L., Posey, L. A., Urban-Lurain, M., Stowe, R. L., Sweeder, R. D., Tessmer, S. H., & Cooper, M. M. (2020). Characterizing College Science Instruction: The Three-Dimensional Learning Observation Protocol. PLOS ONE, 15(6), e0234640. https://doi.org/10.1371/journal.pone.0234640

  26. Odden, T. O. B., Lockwood, E., & Caballero, M. D. (2019). Physics computational literacy: An exploratory case study using computational essays. Physical Review Physics Education Research, 15, 020152. https://doi.org/10.1103/PhysRevPhysEducRes.15.020152

  27. Funkhouser, K., Martinez, W., Henderson, R., & Caballero, M. D. (2019). Design, Analysis, Tools, and Apprenticeship (DATA) Lab. European Journal of Physics, 40(6), 065701. https://doi.org/10.1088/1361-6404/ab2f0d

  28. Caballero, M. D., Chonacky, N., Engelhardt, L., Hilborn, R. C., Lopez del Puerto, M., & Roos, K. R. (2019). PICUP: A Community of Teachers Integrating Computation into Undergraduate Physics Courses. The Physics Teacher, 57(6), 397–399. https://doi.org/10.1119/1.5124281

  29. Aiken, J. M., Henderson, R., & Caballero, M. D. (2019). Modeling student pathways in a physics bachelor’s degree program. Physical Review Physics Education Research, 15, 010128. https://doi.org/10.1103/PhysRevPhysEducRes.15.010128

  30. Young, N. T., Allen, G., Aiken, J. M., Henderson, R., & Caballero, M. D. (2019). Identifying features predictive of faculty integrating computation into physics courses. Physical Review Physics Education Research, 15, 010114. https://doi.org/10.1103/PhysRevPhysEducRes.15.010114

  31. Caballero, M. D., & Merner, L. (2018). Prevalence and nature of computational instruction in undergraduate physics programs across the united states. Physical Review Physics Education Research, 14, 020129. https://doi.org/10.1103/PhysRevPhysEducRes.14.020129

  32. Matz, R. L., Fata-Hartley, C. L., Posey, L. A., Laverty, J. T., Underwood, S. M., Carmel, J. H., Herrington, D. G., Stowe, R. L., Caballero, M. D., Ebert-May, D., & Cooper, M. M. (2018). Evaluating the extent of a large-scale transformation in gateway science courses. Science Advances, 4(10). https://doi.org/10.1126/sciadv.aau0554

  33. Stroupe, D., Caballero, M. D., & White, P. (2018). Fostering students’ epistemic agency through the co-configuration of moth research. Science Education, 1–25. https://doi.org/10.1002/sce.21469

  34. Laverty, J. T., & Caballero, M. D. (2018). Analysis of the most common concept inventories in physics: What are we assessing? Physical Review Physics Education Research, 14, 010123. https://doi.org/10.1103/PhysRevPhysEducRes.14.010123

  35. Pawlak, A., Irving, P. W., & Caballero, M. D. (2018). Development of the Modes of Collaboration framework. Physical Review Physics Education Research, 14, 010101. https://doi.org/10.1103/PhysRevPhysEducRes.14.010101

  36. Irving, P. W., Obsniuk, M. J., & Caballero, M. D. (2017). P$^3$: a practice focused learning environment. European Journal of Physics, 38(5), 055701. https://doi.org/10.1088/1361-6404/aa7529

  37. Caballero, M. D., Doughty, L., Turnbull, A. M., Pepper, R. E., & Pollock, S. J. (2017). Assessing learning outcomes in middle-division classical mechanics: The colorado classical mechanics and math methods instrument. Physical Review Physics Education Research, 13, 010118. https://doi.org/10.1103/PhysRevPhysEducRes.13.010118

  38. Laverty, J. T., Underwood, S. M., Matz, R. L., Posey, L. A., Carmel, J. H., Caballero, M. D., Fata-Hartley, C. L., Ebert-May, D., Jardeleza, S. E., & Cooper, M. M. (2016). Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol. PLOS ONE, 11(9), e0162333. https://doi.org/10.1371/journal.pone.0162333

  39. Cooper, M. M., Caballero, M. D., Ebert-May, D., Fata-Hartley, C. L., Jardeleza, S. E., Krajcik, J. S., Laverty, J. T., Matz, R. L., Posey, L. A., & Underwood, S. M. (2015). Challenge faculty to transform STEM learning. Science, 350(6258), 281–282. https://doi.org/10.1126/science.aab0933

  40. Chasteen, S. V., Wilcox, B., Caballero, M. D., Perkins, K. K., Pollock, S. J., & Wieman, C. E. (2015). Educational transformation in upper-division physics: The Science Education Initiative model, outcomes, and lessons learned. Physical Review Special Topics – Physics Education Research, 11, 020110. https://doi.org/10.1103/PhysRevSTPER.11.020110

  41. Wilcox, B. R., Caballero, M. D., Baily, C., Sadaghiani, H., Chasteen, S. V., Ryan, Q. X., & Pollock, S. J. (2015). Development and uses of upper-division conceptual assessments. Physical Review Special Topics – Physics Education Research, 11, 020115. https://doi.org/10.1103/PhysRevSTPER.11.020115

  42. Caballero, M. D., Wilcox, B. R., Doughty, L., & Pollock, S. J. (2015). Unpacking students’ use of mathematics in upper-division physics: Where do we go from here? European Journal of Physics, 36(6), 065004. https://doi.org/10.1088/0143-0807/36/6/065004

  43. Ding, L., & Caballero, M. D. (2014). Uncovering the hidden meaning of cross-curriculum comparison results on the force concept inventory. Physical Review Special Topics – Physics Education Research, 10, 020125. https://doi.org/10.1103/PhysRevSTPER.10.020125

  44. Hoskinson, A.-M., Couch, B. A., Zwickl, B. M., Hinko, K. A., & Caballero, M. D. (2014). Bridging physics and biology teaching through modeling. American Journal of Physics, 82(5), 434–441. https://doi.org/10.1119/1.4870502

  45. Caballero, M. D., & Pollock, S. J. (2014). A model for incorporating computation without changing the course: An example from middle-division classical mechanics. American Journal of Physics, 82(3), 231–237. https://doi.org/10.1119/1.4837437

  46. Caballero, M. D., Burk, J. B., Aiken, J. M., Thoms, B. D., Douglas, S. S., Scanlon, E. M., & Schatz, M. F. (2014). Integrating Numerical Computation into the Modeling Instruction Curriculum. The Physics Teacher, 52(1), 38–42. https://doi.org/10.1119/1.4849153

  47. Wilcox, B. R., Caballero, M. D., Rehn, D. A., & Pollock, S. J. (2013). Analytic framework for students’ use of mathematics in upper-division physics. Physical Review Special Topics – Physics Education Research, 9, 020119. https://doi.org/10.1103/PhysRevSTPER.9.020119

  48. Hoskinson, A.-M., Caballero, M. D., & Knight, J. K. (2013). How can we improve problem solving in undergraduate biology?: Applying lessons from 30 years of physics education research. Cell Biology Education - Life Science Education, 12(2), 153–161. https://doi.org/10.1187/cbe.12-09-0149

  49. Chasteen, S. V., Pepper, R. E., Caballero, M. D., Pollock, S. J., & Perkins, K. K. (2012). Colorado upper-division electrostatics diagnostic: A conceptual assessment for the junior level. Physical Review Special Topics – Physics Education Research, 8, 020108. https://doi.org/10.1103/PhysRevSTPER.8.020108

  50. Caballero, M. D., Kohlmyer, M. A., & Schatz, M. F. (2012). Implementing and assessing computational modeling in introductory mechanics. Physical Review Special Topics – Physics Education Research, 8, 020106. https://doi.org/10.1103/PhysRevSTPER.8.020106

  51. Caballero, M. D., Greco, E. F., Murray, E. R., Bujak, K. R., Marr, M. J., Catrambone, R., Kohlmyer, M. A., & Schatz, M. F. (2012). Comparing large lecture mechanics curricula using the Force Concept Inventory: A five thousand student study. American Journal of Physics, 80(7), 638–644. https://doi.org/10.1119/1.3703517

  52. Kohlmyer, M. A., Caballero, M. D., Catrambone, R., Chabay, R. W., Ding, L., Haugan, M. P., Marr, M. J., Sherwood, B. A., & Schatz, M. F. (2009). Tale of two curricula: The performance of 2000 students in introductory electromagnetism. Physical Review Special Topics – Physics Education Research, 5, 020105. https://doi.org/10.1103/PhysRevSTPER.5.020105

  53. Cochran, A. L., Barker, E. S., Caballero, M. D., & Györgey-Ries, J. (2009). Placing the Deep Impact Mission into context: Two decades of observations of 9P/Tempel 1 from McDonald Observatory. Icarus, 199(1), 119–128. https://doi.org/10.1016/j.icarus.2008.08.015

articles appearing in peer-reviewed conference proceedings

  1. Renbarger, R., Wang, Y., Boyd, T., Bolger, E., Ison, M., Finkelstein, N., Henderson, C., Beach, A., Simkins, S., & Caballero, M. D. (2026). ECR: Creating transformational STEM education: A metasynthesis mapping a decade of systemic change research. Proceedings of the American Society for Engineering Education Annual Conference.

  2. Wang, Y., Renbarger, R., Boyd, T., Bolger, E., Finkelstein, N., Henderson, C., Caballero, M. D., Beach, A., & Simkins, S. (2026). Change strategies in undergraduate STEM education: A meta-synthesis and update of a decade of research. Proceedings of the American Educational Research Association Annual Meeting.

  3. Renbarger, R., Wang, Y., Boyd, T., Bolger, E., Finkelstein, N., Henderson, C., Caballero, M. D., Beach, A., & Simkins, S. (2026). Making equitable change: A meta-synthesis of instructional change efforts for marginalized student groups. Proceedings of the American Educational Research Association Annual Meeting.

  4. Wang, Y., Bolger, E., Renbarger, R., Boyd, T., Finkelstein, N., Henderson, C., Beach, A., Simkins, S., & Caballero, M. D. (2026). ECR: Facilitating change in undergraduate STEM: A multidisciplinary, multimethod, meta-synthesis mapping a decade of growth. Proceedings of the American Society for Engineering Education Annual Conference.

  5. Chitchyan, S., Caballero, M. D., Nomer, M., & Karam, L. (2026). Feedback engagement and analysis in assessments (FEAST) in computing education. Proceedings of the 57th ACM Technical Symposium on Computer Science Education v.2, 1265–1266. https://doi.org/10.1145/3770761.3777263

  6. Bolger, E., Wang, Y., Renbarger, R., Caballero, M. D., Nwobi, M., Lem, C., Finkelstein, N., Simkins, S., Boyd, T., Henderson, C., & Beach, A. (2025). Integrating machine learning into systematic reviews: Strengthening evidence synthesis. Proceedings of the 2025 Annual Meeting of the American Educational Research Association.

  7. Bolger, E., & Caballero, M. (2025). Exploring the Impact of Unsupervised Clustering Methods in Systematic Literature Reviews. Proceedings of the 56th ACM Technical Symposium on Computer Science Education v. 2, 1391–1392. https://doi.org/10.1145/3641555.3705184

  8. Bolger, E., & Caballero, M. (2024). Using natural language processing to explore instructional change strategies in undergraduate science education literature. Proceedings of the 55th ACM Technical Symposium on Computer Science Education v. 2, 1930–1930. https://doi.org/10.1145/3626253.3635341

  9. Silvia, D. W., Caballero, M. D., Finzell, T., Frisbie, R., Hamerski, P., Bolger, E., Castle, S., Roca, R., & Tourangeau, P. (2023). Computing in support of disciplinary learning. Proceedings of the 54th ACM Technical Symposium on Computer Science Education v. 2, 1247–1247. https://doi.org/10.1145/3545947.3573341

  10. Hamerski, P. C., Silvia, D., & Caballero, M. D. (2022). Exploring self-efficacy in data science. Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2, 633–634. https://doi.org/10.1145/3502717.3532131

  11. Willison, J., Christensen, J., Byun, S., Stroupe, D., & Caballero, M. D. (2022). How do you eat an elephant? How problem solving informs computational instruction in high school physics. Physics Education Research Conference 2022, 494–499.

  12. Stroupe, D., Byun, S., Willson, J., Christensen, J., Caballero, M. D., & Reinholz, D. L. (2022). Teachers’ use of resources for equitable integration of computation in science classrooms. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), Proceedings of the 16th international conference of the learning sciences-ICLS2022 (pp. 905–909). International Society of the Learning Sciences.

  13. Mackessy, G., Irving, P. W., Caballero, M. D., & Doughty, L. (2021). Comparing student conceptions and construction of while loops in modeling motion. In M. B. Bennett, B. W. Frank, & R. E. Vieyra (Eds.), 2021 Physics Education Research Conference Proceedings (pp. 245–250). https://doi.org/10.1119/perc.2021.pr.Mackessy

  14. Waterson, A. C., Henderson, R., & Caballero, M. D. (2021). Analyzing time-to-degree for transfer students at a Large Midwestern University. In M. B. Bennett, B. W. Frank, & R. E. Vieyra (Eds.), 2021 Physics Education Research Conference Proceedings (pp. 438–443). https://doi.org/10.1119/perc.2021.pr.Waterson

  15. Henderson, R., Funkhouser, K., & Caballero, M. D. (2019). A Longitudinal Exploration of Students’ Beliefs about Experimental Physics. In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 214–219). https://doi.org/10.1119/perc.2019.pr.Henderson

  16. Young, N. T., & Caballero, M. D. (2019). Using machine learning to understand physics graduate school admissions. In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 669–674). https://doi.org/10.1119/perc.2019.pr.Young

  17. Odden, T. O. B., & Caballero, M. D. (2019). Computational Essays and Computational Literacy at the University of Oslo. In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 429–434). https://doi.org/10.1119/perc.2019.pr.Odden

  18. Weller, D., Caballero, M. D., & Irving, P. W. (2019). Investigating Teacher Learning Goals Involving Computation in High School Physics. In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 627–632). https://doi.org/10.1119/perc.2019.pr.Weller

  19. Bott, T., Weller, D., Caballero, M. D., & Irving, P. W. (2019). Preliminary Analysis of Student-Identified Themes around Computation in High School Physics. In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 57–62). https://doi.org/10.1119/perc.2019.pr.Bott

  20. Bumler, J., Hamerski, P. C., Caballero, M. D., & Irving, P. W. (2019). How do previous coding experiences influence undergraduate physics students? In Y. Cao, S. Wolf, & M. B. Bennett (Eds.), 2019 Physics Education Research Conference Proceedings (pp. 69–74). https://doi.org/10.1119/perc.2019.pr.Bumler

  21. McPadden, D., Hamerski, P. C., Caballero, M. D., & Irving, P. W. (2018). Feedback as a mechanism for improving students scientific communication skills. In A. Traxler, Y. Cao, & S. Wolf (Eds.), 2018 Physics Education Research Conference Proceedings. https://doi.org/10.1119/perc.2018.pr.McPadden

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