Michelle Hoda Wilkerson


University of California, Berkeley | Berkeley, CA, USA
Associate Professor, School of Education 2021 - Present
Assistant Professor, School of Education 2016 - 2021

Tufts University | Medford, MA, USA
Assistant Professor, Department of Education 2011 - 2015

Northwestern University | Evanston, IL, USA
Graduate Student, Learning Sciences Program 2005 - 2011

University of California, San Diego | San Diego, CA, USA
Undergraduate Research Assistant, San Diego Supercomputer Center 2003-2005

University of Oklahoma | Norman, OK, USA
Undergraduate Research Assistant, Human-Computer Interaction Center 2003

Education

Northwestern University | Evanston, IL, USA
Learning Sciences (PhD) 2012

University of San Diego | San Diego, CA, USA
Mathematics (BA); Diversified Liberal Arts (BA) 2005

Publications

Edited Special Issues and Books

  1. Wilkerson, M. H., & Polman, J. L. (2020). Situating data science: Exploring how relationships to data shape learning. Journal of the Learning Sciences, 29(1), 1–10. https://doi.org/10.1080/10508406.2019.1705664
  2. Wilkerson, M. H., & Polman, J. L. (2022). Situating Data Science: Exploring How Relationships to Data Shape Learning (1st ed.). Routledge. https://doi.org/10.4324/9781003165354
  3. Wilkerson, M. H., D’Angelo, C. M., & Litts, B. K. (2020). Stories from the field: Locating and cultivating computational thinking in spaces of learning. Interactive Learning Environments, 28(3), 264–271. https://doi.org/10.1080/10494820.2020.1711326

Refereed Journal Articles

  1. Wilkerson, M. H., Erickson, T., Lee, H. S., & Finzer, W. (2025). How to be “Choosy”: Wrangling big datasets for the classroom. Teaching Statistics, n/a(n/a). https://doi.org/10.1111/test.70022
  2. Wilkerson, M. H. (2025). Mapping the Conceptual Foundation(s) of “Data Science Education". Harvard Data Science Review. https://doi.org/10.1162/99608f92.9ac68105
  3. Wilkerson, M. H., Kim, J., Lee, H. S., Stokes, D. J., & Ferrell, M. (2025). How Teachers Envision Using Data Visualization Discussion Tasks in Classroom Instruction. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-024-10521-y
  4. Wagh, A., Rosenbaum, L. F., Fuhrmann, T., Eloy, A., Blikstein, P., & Wilkerson, M. H. (2025). Toward Ontological Alignment: Coordinating Student Ideas with the Representational System of a Computational Modeling Unit for Science Learning. Cognition and Instruction, 43(1-2), 1–32. https://doi.org/10.1080/07370008.2024.2427400
  5. Fuhrmann, T., Rosenbaum, L., Wagh, A., Eloy, A., Wolf, J., Paulo Blikstein, & Wilkerson, M. H. (2025). Right but wrong: How students’ mechanistic reasoning and conceptual understandings shift when designing agent‐based models using data. Science Education, 109(1), 3–26. https://doi.org/10.1002/sce.21890
  6. Lanouette, K., Cortes, K. L., Lopez, L., Bakal, M., & Wilkerson, M. H. (2024). Exploring climate change through students’ place connections and public data sets. Science Scope, 47(3), 18–25. https://doi.org/10.1080/08872376.2024.2340444
  7. Reigh, E., Escudé, M., Bakal, M., Rivero, E., Wei, X., Roberto, C., Hernández, D., Yada, A., Gutiérrez, K., & Wilkerson, M. H. (2022). Mapping racespace: Data stories as a tool for environmental and spatial justice. Occasional Paper Series, 2022(48), 79–95. https://doi.org/10.58295/2375-3668.1452
  8. Wilkerson, M. H., Lanouette, K., & Shareff, R. L. (2022). Exploring variability during data preparation: A way to connect data, chance, and context when working with complex public datasets. Mathematical Thinking and Learning, 24(4), 312–330. https://doi.org/10.1080/10986065.2021.1922838
  9. Lee, V. R., Wilkerson, M. H., & Lanouette, K. (2021). A call for a humanistic stance toward K–12 data science education. Educational Researcher, 50(9), 664–672. https://doi.org/10.3102/0013189X211048810
  10. Erickson, T., Wilkerson, M. H., Finzer, W., & Reichsman, F. (2019). Data moves. Technology Innovations in Statistics Education, 12(1). https://doi.org/10.5070/T5121038001
  11. Quan, T., Bracho, C. A., Wilkerson, M. H., & Clark, M. (2019). Empowerment and transformation: Integrating teacher identity, activism, and criticality across three teacher education programs. Review of Education, Pedagogy, and Cultural Studies, 41(4-5), 218–251. https://doi.org/10.1080/10714413.2019.1684162
  12. Shaban, Y., & Wilkerson, M. H. (2019). The co-construction of epistemological framing in clinical interviews and implications for research in science education. International Journal of Science Education, 41(12), 1579–1599. https://doi.org/10.1080/09500693.2019.1620972
  13. Wilkerson, M. H., & Laina, V. (2018). Middle school students’ reasoning about data and context through storytelling with repurposed local data. ZDM, 50(7), 1223–1235. https://doi.org/10.1007/s11858-018-0974-9
  14. Wilkerson, M. H., Shareff, R., Laina, V., & Gravel, B. (2018). Epistemic gameplay and discovery in computational model-based inquiry activities. Instructional Science, 46(1), 35–60. https://doi.org/10.1007/s11251-017-9430-4
  15. Wilkerson, M. H., Bautista, A., Tobin, R. G., Brizuela, B. M., & Cao, Y. (2018). More than meets the eye: Patterns and shifts in middle school mathematics teachers’ descriptions of models. Journal of Mathematics Teacher Education, 21(1), 35–61. https://doi.org/10.1007/s10857-016-9348-9
  16. Wilkerson, M. H., Andrews, C., Shaban, Y., Laina, V., & Gravel, B. E. (2016). What’s the technology for? Teacher attention and pedagogical goals in a modeling-focused professional development workshop. Journal of Science Teacher Education, 27(1), 11–33. https://doi.org/10.1007/s10972-016-9453-8
  17. Wilkerson, M. H., Wagh, A., & Wilensky, U. (2015). Balancing curricular and pedagogical needs in computational construction kits: Lessons from the DeltaTick project. Science Education, 99(3), 465–499. https://doi.org/10.1002/sce.21157
  18. Wilkerson, M. H., & Wilensky, U. J. (2015). Patterns, probabilities, and people: Making sense of quantitative change in complex systems. Journal of the Learning Sciences, 24(2), 204–251. https://doi.org/10.1080/10508406.2014.976647
  19. Wilkerson, M. H., Gravel, B. E., & Macrander, C. A. (2015). Exploring shifts in middle school learners’ modeling activity while generating drawings, animations, and computational simulations of molecular diffusion. Journal of Science Education and Technology, 24(2-3), 396–415. https://doi.org/10.1007/s10956-014-9497-5
  20. Wilkerson, M. H. (2014). Construction, categorization, and consensus: Student generated computational artifacts as a context for disciplinary reflection. Educational Technology Research and Development, 62(1), 99–121. https://doi.org/10.1007/s11423-013-9327-0
  21. Bautista, A., Wilkerson, M. H., Tobin, R. G., & Brizuela, B. M. (2014). Mathematics teachers’ ideas about mathematical models: A diverse landscape. PNA: Revista En Didáctica de La Matemática, 9(1). https://doi.org/10.30827/pna
  22. Wilkerson, M. H., & Wilensky, U. J. (2011). How do mathematicians learn math?: Resources and acts for constructing and understanding mathematics. Educational Studies in Mathematics, 78(1), 21–43. https://doi.org/10.1007/s10649-011-9306-5
  23. Wilkerson, M. H. (2009). Agents with attitude: Exploring Coombs unfolding technique with agent-based models. International Journal of Computers for Mathematical Learning, 14(1), 51–60. https://doi.org/10.1007/s10758-008-9142-6

Book Chapters

  1. Barton, J. C., Wilkerson, M. H., & Fitzmaurice, H. L. (n.d.). Layered landscapes: Critical climate cartography as a pedagogical framework to bring together data, experience, science, and history. In Handbook of Climate Change Research in Transdisciplinary Education.
  2. Reigh, E. V., Arastoopour Irgens, G., McBride, C., Quiterio, A., & Wilkerson, M. H. (n.d.). Critical data literacies. In A. Cortez & J. Lizarraga (Eds.), Encyclopedia of social justice in education - language, literacy, youth and culture. Bloomsbery Publishing.
  3. Biehler, R., & Wilkerson, M. H. (2025). The new role of data in society: Challenges and opportunities for mathematics education in the age of data science and AI. Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14).
  4. Wilkerson, M. H., Shareff, R. L., & Laina, V. (2022). Learning from “interpretations of innovation” in the co-design of digital tools. In M.-C. Shanahan, B. Kim, M. A. Takeuchi, K. H. Koh, A. P. Preciado Babb, & P. Sengupta (Eds.), The Learning Sciences in Conversation: Theories, Methodologies, and Boundary Spaces. Routledge.
  5. Wilkerson, M. H., & Gravel, B. (2020). Storytelling as a support for collective constructionist activity. In N. Holbert, M. Berland, & Y. B. Kafai (Eds.), Designing Constructionist Futures (pp. 213–226). The MIT Press. https://doi.org/10.7551/mitpress/12091.003.0028
  6. Wilkerson, M. H. (2017). Teachers, students, and after-school professionals as designers of digital tools for learning. In B. DiSalvo, J. Yip, E. Bonsignore, & C. DiSalvo (Eds.), Participatory Design for Learning (1st ed., pp. 125–138). Routledge. https://doi.org/10.4324/9781315630830-13
  7. Gravel, B. E., & Wilkerson, M. H. (2017). Integrating Computational Artifacts into the Multi-representational Toolkit of Physics Education. In D. F. Treagust, R. Duit, & H. E. Fischer (Eds.), Multiple Representations in Physics Education (Vol. 10, pp. 47–70). Springer International Publishing. https://doi.org/10.1007/978-3-319-58914-5_3
  8. Wilkerson, M. H., Fenwick, M., Schwarz, C., Passmore, C., & Reiser, B. J. (2017). The practice of using mathematics and computational thinking. In Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices (pp. 181–204). National Science Teachers Association Press.
  9. Wilkerson, M. H. (2017). DataSketch: A Tool to Turn Student Sketches into Data-Driven Visualizations. In T. Hammond, A. Adler, & M. Prasad (Eds.), Frontiers in Pen and Touch (pp. 227–234). Springer International Publishing. https://doi.org/10.1007/978-3-319-64239-0_17
  10. Beer, M., Fasli, M., Richards, D., Stonedahl, F., Wilkerson, M. H., & Wilensky, U. J. (Eds.) (2011). MAgICS: Toward a multi-agent introduction to computer science. In Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience (pp. 227–234). IGI Global. https://doi.org/10.4018/978-1-60960-080-8

Invited Contributions and Book Reviews

  1. Henrique, B., Roberto, C., & Wilkerson, M. H. (2023). Who creates our computational worlds? A review of Critically Conscious Computing: Methods for secondary education. International Journal of Child-Computer Interaction, 35, 100546. https://doi.org/10.1016/j.ijcci.2022.100546
  2. Wilkerson, M. H. (n.d.). Foreword. In A. Sezen-Barrie, M. K. Stapleton, & H. Kang (Eds.), Data Stories of Climate Change Impacts: Towards Justice-Oriented Education and Action. Harvard Education Press.
  3. Wilkerson, M. H. (2015). Open peer commentary: Locating the learner in collaborative constructionist design. Constructivist Foundations, 10(3), 315–216.

Technical Reports

  1. Lee, H. S., Wilkerson, M. H., Stokes, D. J., & Finzer, W. (2022). Data story bytes: Examining healthy food through data (26(1); pp. 10–11).
  2. Pimentel, D. R., Horton, N. J., & Wilkerson, M. H. (2022). Tools to Support Data Analysis and Data Science in K-12 Education [Commissioned report]. National Academies of Science, Engineering,; Medicine.
  3. Wilkerson, M. H., Lee, V. R., Shinohara, M., Chaudhary, S., Brady, C. E., & Marin, A. (2018). OpenSciEd design specification: Using computational and mathematical thinking and interpreting and analyzing data [Curricular specifications]. Carnegie Corporation.
  4. Lee, V. R., & Wilkerson, M. H. (2018). Data use by middle and secondary students in the digital age: A status report and future prospects [Commissioned {Paper} for the {National} {Academies} of {Sciences}, {Engineering}, and {Medicine}, {Board} on {Science} {Education}, {Committee} on {Science} {Investigations} and {Engineering} {Design} for {Grades} 6-12].
  5. Berland, M., Halverson, E., Polman, J. L., & Wilkerson, M. H. (2017). Expressive construction: Enabling learners to represent powerful ideas (pp. 17–24). SRI International.
  6. Finzer, W., & Wilkerson, M. H. (2020). Writing data stories (24(1); pp. 10–11). https://concord.org/newsletter/2020-spring/writing-data-stories

Awards and Sponsorships

Mid-Career Workshop International Society of the Learning Sciences 2022.
Reviewer of the Year Journal of the Learning Sciences 2021
Jan Hawkins Award American Educational Research Association Division C 2020
Transformative Teacher Educator Fellowship Arcadia University 2018
Early Career Development (CAREER) Award National Science Foundation 2014
Early Career Workshop International Conference of the Learning Sciences 2014
New Faculty Mentoring Program AERA Division C 2012
Best Student Paper AERA Special Interest Group in Learning Sciences/Advanced Tech for Learning 2010
Student Travel Sponsorship Models in Developing Math Ed Conference 2009
Best Student Poster Southern California-Nevada Section of the Mathematical Association of America Fall Meeting 2005

Grants

Active External Grants

PI, NSF Innovative Technology Experiences for Students and Teachers (ITEST) 2025-2028
Integrating Computational Modeling with Data in Environmental Sciences
(Award 2445609; $1.3M; with Wagh at Concord Consortium; Fuhrmann & Blikstein at Teachers College Columbia)
PI, NSF Organizational Postdoctoral Research Fellowship (oPRF) 2024-2027
The Berkeley Data Science Education Fellowship: Ethical and Inclusive Data Science in a Shifting Landscape
(Award 2430522; $1.25M; with Z. Pardos, A. Strang, E. Van Dusen, C. Von Vacano, and L. Yan)
Co-PI, University of California Office of the President Climate Action Seed Grant 2023-2025
Supporting Teachers in Implementing Justice-Centered Climate Change Pedagogy
($1.4M; led by BSE/CoRE Research Scientist Helen Fitzmaurice)

Completed External Grants

PI, Google Computer Science Education Research Gift 2021-2024
Beyond CS for all and toward CS for racial justice: Youth historical reauthoring of computing artifacts
($55K; with undergraduates Simonei Medina, Naomi Yonas & former graduate student Collette Roberto)
PI (subawardee), NSF Discovery Research K12 Level II 2020-2025
From Access to Sustainability: Investigating Ways to Foster Computational Modeling in K-12 Science Classrooms
(DRL-2010413, $130K subcontract with Teachers College at Columbia University; $2M total)
PI, George Lucas Education Foundation Equity-Centered Learning Environments 2021-2024
The Computing as Multiliteracies Partnership (CaMP)
($200K; with Cherise McBride, Kris Gutierrez, Chris Hoadley, Jasmine Ma, Laura Ascenzi-Moreno, Sara Vogel)
PI, NSF STEM + Computing Partnerships Program 2019-2024
Writing Data Stories: Integrating Computational Data Investigations into the Middle School Science Classroom
(IIS-1900606, $2.4M; with Kris Gutierrez, William Finzer, Anthony Petrosino, Hollylynne Lee)
PI, NSF Early CAREER Award 2014-2020
DataSketch: Exploring Computational Data Visualization Literacy in the Middle Grades (IIS-1350282, $599,996)
PI (subawardee), NSF Cyberlearning Development and Implementation Plan 2015-2019
Data Science Games - Student Immersion in Data Science Using Games for Learning in the Common Online Data Analysis Platform (IIS-1530578, $227,435 subcontract with Concord Consortium; $1,348,808 total)
PI, NSF Discovery Research K12 Exploratory Learning 2014-2018
CodeR4STATS: Code R for AP Statistics and Common Core Statistical Concepts
(DRL-1418163, $469,936; with Co-PI Eric Simoneau, Boston Latin School)
PI, NSF Cyberlearning Capacity-Building 2015-2017
Data Science, Learning and Youth: Connecting Research and Creating Frameworks
(IIS-1541676, $49,958; with Co-PIs Tapan Parikh, Joseph Polman, Victor Lee)
PI, NSF Cyberlearning Exploratory 2012-2017
SiMSAM: Bridging Student, Scientific, and Mathematical Models with Expressive Technologies
(IIS-1217100, $546,353; with Brian Gravel, Tufts University; transferred to Gravel upon move to UCB)

Internal Grants

UC Berkeley Student Technology Fund ($5,000) Educational Robotics Library 2017
Tufts Faculty Research Fund ($3,599) Data Visualization for Middle School 2012
Northwestern U. Community Building Grant ($2,914, renewed for $1,500) 2009-2011
Constructing for Learning: An Open House for Technologies in Education

Refereed Conference Proceedings

Full Papers [Stringently Refereed]

  1. Fitzmaurice, H. L., & Wilkerson, M. H. (2024). Activism or Bureaucracy: What Are We Teaching Students Through Local Climate Action Projects? Proceedings of the 18th International Conference of the Learning Sciences, 801–808. https://repository.isls.org//handle/1/11172 – Best Paper Award
  2. Eloy, A., Fuhrmann, T., Wagh, A., De Deus Lopes, R., Wilkerson, M. H., & Blikstein, P. (2024). Decomposing Students’ Design Moves when Programming Agent-Based Models. Proceedings of the 18th International Conference of the Learning Sciences, 738–745. https://doi.org/10.22318/icls2024.730439 – Best Student Paper Award
  3. Fuhrmann, T., Wagh, A., Rosenbaum, L. F., Eloy, A., Wilkerson, M. H., & Blikstein, P. (2023). How Can Computational Modeling Help Students Shift Their Ideas Towards Scientifically Accurate Explanations? Proceedings of the 17th International Conference of the Learning Sciences, 441–448. https://doi.org/10.22318/icls2023.208036
  4. Vogelstein, L., McBride, C., Y., J., Wilkerson, M., Vogel, S., Barrales, W., Ascenzi-Moreno, L., Hoadley, C., & Gutiérrez, K. (2023). Storytelling “in Theory”: Re-imagining Computational Literacies through the Lenses of Syncretism and Translanguaging. Proceedings of the 17th International Conference of the Learning Sciences, 800–807. https://doi.org/10.22318/icls2023.118113
  5. Wagh, A., Fuhrmann, T., Eloy, A. A. D. S., Wolf, J., Bumbacher, E., Blikstein, P., & Wilkerson, M. H. (2022). MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School. Interaction Design and Children, 206–211. https://doi.org/10.1145/3501712.3529723
  6. Lopez, M. L., Roberto, C., Rivero, E., Wilkerson, M. H., Bakal, M., & Gutiérrez, K. (2021). Curricular reorganization in the third space: A case of consequential reasoning around data. Proceedings of the 15th International Conference of the Learning Sciences. https://doi.org/10.22318/icls2021.466 – Best Design Paper Nominee
  7. Erickson, T., Finzer, W., Reichsman, F., & Wilkerson, M. H. (2018). Data moves: One key to data science at the school level. Kyoto.
  8. Wilkerson, M. H., Shareff, B., Gravel, B., Shaban, Y., & Laina, V. (2017). Exploring Computational Modeling Environments as Tools to Structure Classroom-Level Knowledge Building. Making a Difference: Prioritizing Equity and Access in CSCL, 12th International Conference on Computer Supported Collaborative Learning, 1.
  9. Deitrick, E., Wilkerson, M. H., & Simoneau, E. (2017). Understanding student collaboration in interdisciplinary computing activities. Proceedings of the 2017 ACM Conference on International Computing Education Research, 118–126. https://doi.org/10.1145/3105726.3106193
  10. Walkoe, J., Wilkerson, M., & Elby, A. (2017). Technology-Mediated Teacher Noticing: A Goal for Classroom Practice, Tool Design, and Professional Development. https://repository.isls.org//handle/1/215
  11. Bautista, A., Wilkerson-Jerde, M. H., Tobin, R., & Brizuela, B. M. (2013). Diversity in middle school mathematics teachers’ ideas about mathematical models: The role of educational background. Proceedings of the Eighth Congress of European Research in Mathematics Education, 960–969.
  12. Wilkerson, M. H., & Wilensky, U. (2011). Designed and emergent pedagogical supports for coordinating quantitative and agent-based descriptions of complex dynamic systems. Proceedings of the 2011 Meeting of the Psychology of Mathematics Education – North American Chapter, 2083–2087.
  13. Wilkerson, M. H., & Wilensky, U. (2010). Restructuring Change, Interpreting Changes: The DeltaTick Modeling and Analysis Toolkit. In J. Clayson & I. Kalas (Eds.), Proceedings of Constructionism 2010 (pp. 97–107).
  14. Stonedahl, F., Wilkerson-Jerde, M., & Wilensky, U. (2009). Re-conceiving Introductory Computer Science Curricula through Agent-Based Modeling. Proceedings of the Autonomous Agents and Multiagent Systems (AAMAS 2009) Workshop on Educational Uses of Multi-Agent Systems, 63–70.
  15. Wilkerson, M. H., & Wilensky, U. (2009). Understanding proof: Tracking experts’ developing understanding of an unfamiliar proof. Proceedings of the International Commission on Mathematical Instruction (ICMI) Study 19, Proof and Proving in Mathematics Education, 2, 267–274.
  16. Wilkerson, M., & Wilensky, U. (2008). How Do Mathematicians Learn Mathematics? Proceedings of the Joint Meeting of the International Group for the Psychology of Mathematics Education, 4, 409–416.
  17. Denning, T., Griswold, W. G., Simon, B., & Wilkerson, M. H. (2006). Multimodal communication in the classroom: What does it mean for us? SIGCSE Bull., 38, 219–223. https://doi.org/10.1145/1124706.1121410
  18. Wilkerson, M. H., Griswold, W. G., & Simon, B. (2005). Ubiquitous presenter: Increasing student access and control in a digital lecturing environment. SIGCSE ’05: Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education, 116–120.

Short Papers, Posters, and Workshop Leadership

  1. Kemble, K. A., & Wilkerson, M. H. (2024). Storytelling With and About Data: Mapping the Terrain. Proceedings of the International Conference of the Learning Sciences. https://repository.isls.org//handle/1/10824
  2. Lee, H. S., Mojica, G. F., & Wilkerson, M. H. (2024). Data investigations as a framework for STEM integration. Proceedings of the International Conference on Mathematics Education.
  3. Wagh, A., Rosenbaum, L. F., Fuhrmann, T., Eloy, A., Bumbacher, E., Blikstein, P., & Wilkerson, M. (2023). Ontological Alignment: Investigating the Role of the Teacher in Supporting Computational Modeling in Science Classrooms. Proceedings of the International Conference of the Learning Sciences, 1162–1165. https://repository.isls.org//handle/1/9869
  4. Reigh, E., Escudé, M., McBride, C., Wei, X., Bakal, M., Rivero, E., Roberto, C., Wilkerson, M., & Gutiérrez, K. (2022). Paths Through Data: Successes and Future Directions in Supporting Student Reasoning About Environmental Racism. Proceedings of the International Conference of the Learning Sciences, 1497–1500. https://repository.isls.org//handle/1/8523
  5. Roberto, C., Wei, X., Rivero, E., & Wilkerson, M. (2022). Student Participation in Sociocritical Data Literacy: Shapes, Trends, and Future Directions From a Middle School Science Unit. Proceedings of the International Conference of the Learning Sciences, 1549–1552. https://repository.isls.org//handle/1/8536
  6. Wolf, J., Fuhrmann, T., Wagh, A., Silva Eloy, A. A. da, Blikstein, P., & Wilkerson, M. (2022). After the Study Ends: Developing Heuristics To Design for Sustainable Use of Learning Technologies in Classrooms. Proceedings of the 21st Annual ACM Interaction Design and Children Conference, 703–705. https://doi.org/10.1145/3501712.3536384
  7. Wilkerson, M. H., Finzer, W., Erickson, T., & Hernandez, D. (2021). Reflective Data Storytelling for Youth: The CODAP Story Builder. Interaction Design and Children, 503–507. https://doi.org/10.1145/3459990.3465177
  8. Thoma, S., Deitrick, E., & Wilkerson, M. H. (2017). “It didn’t really go very well”: Epistemological framing and the complexity of interdisciplinary computing activities.
  9. Wilkerson, M. H., Lanouette, K., Shareff, R. L., Erickson, T., Bulalacao, N., Heller, J. I., Clair, N. S., Finzer, W., & Reichsman, F. (2018). Data transformations: Restructuring data for inquiry in a simulation and data analysis environment.
  10. Wilkerson, M. H., & Laina, V. (2017). Youth reasoning with interactive data visualizations: A preliminary study. Proceedings of the 2017 Conference on Interaction Design and Children, 411–416. https://doi.org/10.1145/3078072.3084302
  11. Laina, V., & Wilkerson, M. H. (2016). Distributions, trends, and contradictions: A case study in sensemaking with interactive data visualizations. Proceedings of the 11th International Conference of the Learning Sciences.
  12. Wilkerson, M., Gravel, B., & Macrander, C. (2013). SiMSAM: An Integrated Toolkit to Bridge Student, Scientific, and Mathematical Ideas Using Computational Media. To See the World and a Grain of Sand: Learning Across Levels of Space, Time, and Scale, 2, 379–380. https://repository.isls.org//handle/1/1924
  13. Wilkerson, M., & Wilensky, U. (2010). NetLogo HotLink Replay: A Tool for Exploring, Analyzing and Interpreting Mathematical Change in Complex Systems. Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2, 374–375. https://repository.isls.org//handle/1/2863
  14. Wilkerson, M., Sengupta, P., & Wilensky, U. (2008). Perceptual Supports for Sensemaking: A Case Study Using Multi Agent Based Computational Learning Environments. International Perspectives in the Learning Sciences: Cre8ing a Learning World. Proceedings of the Eighth International Conference for the Learning Sciences, 3, 151–152. https://repository.isls.org//handle/1/3232

Invited Papers, Symposium and Workshop Participations

  1. Reigh, E., McBride, C., & Wilkerson, M. H. (2024). Syncretic approaches to data science: Towards consequential learning. In K. Jones & C. McBride (Orgs.), Applying Syncretic Frameworks in the Learning Sciences. Symposium in Proceedings of the 2024 Annual Meeting of the International Society for the Learning Sciences (ISLS ’23), June 10-15. ISLS: Buffalo, NY, USA.
  2. Eloy, A., Wolf, J., Wagh, A., Fuhrmann, T., Bumbacher, E., Wilkerson, M. H., & Blikstein, P. (2022). A2S: Designing an integrated platform for computational modeling & data analysis for sustained investigations in science classrooms. Interactive Workshop in Proceedings of the 2022 Annual Meeting of the International Society for the Learning Sciences (ISLS 2022). ISLS: Tokyo, Japan.
  3. Wei, C., McBride, C.‡, Bakal, M., Roberto, C.*, Bhargava, P., and Wilkerson, M. H. (2022). Storytelling with data: A syncretic approach that brings together social justice with middle school science. In J. Polman, I. Tabak, & T. Tran (Orgs.), Cultivating Critical, Justice-Oriented Data Literacies in a Post-Truth World. Structured poster session in Proceedings of the 2022 Annual Meeting of the International Society for the Learning Sciences (ISLS 2022). ISLS: San Diego, CA.
  4. Wei, C.*, McBride, C.‡, & Wilkerson, M. H. (2022). Storytelling with data in the third space: Leveraging students’ syncretic literacies for scientific investigation and social change. In C. Matuk, A. Amato, & I. Davidesco (Orgs.), Data Storytelling in the Classroom. Structured poster session in Proceedings of the 2022 Annual Meeting of the International Society for the Learning Sciences (ISLS 2022). ISLS: San Diego, CA.
  5. Wagh, A., Fuhrmann, T., Eloy, A., Wolf, J., Bumbacher, E., Wilkerson, M. H., & Blikstein, P. (2022). Strategies towards designing for sustained engagement in computational modeling in science classrooms. Poster in Proceedings of the 2022 Annual Meeting of the International Society for the Learning Sciences (ISLS 2022). ISLS: San Diego, CA.
  6. Wilkerson, M. H., Roberto, C., & Bulalacao, N. (2020/conference online due to COVID-19). Debugging data: Diagnosing, evaluating, and repairing data for analysis. In Y. Kafai (Org.) & J. Danish (Disc.), Turning bugs into learning opportunities: Understanding debugging processes, perspectives and pedagogies. In Proceedings of the 14th International Conference for the Learning Sciences (ICLS 2020). Nashville, TN, USA: ISLS.
  7. Lanouette, K.‡, Rivero, E., Barton, J., Bulalacao, N., Lopez, M. L., Cortes, K., Roberto, C., Gutiérrez, K., Wilkerson, M. H., Lee, H., Stokes, D.*, Finzer, W., Erickson, T., Petrosino, T., Haldar, L. (2020/conference online due to COVID-19). Writing data stories: Reauthoring scientific data through syncretic computational investigations in middle school science. In C. Matuk & S. Yoon (Orgs.) and J. Polman (Disc.), Data literacy for social justice. In Proceedings of the 14th International Conference for the Learning Sciences (ICLS 2020). Nashville, TN, USA: ISLS.
  8. Lopez, M. L.*, Wilkerson, M. H., & Gutiérrez, K. (2020/conference online due to COVID-19). Contextualizing, historicizing, and re-authoring data-as-text in the middle school science classroom. In G. Arastoopour Irgens, S. Knight, & A. Wise (Org.) Data literacies and social justice: Exploring critical data literacies through sociocultural perspectives. In Proceedings of the 14th International Conference for the Learning Sciences (ICLS 2020). Nashville, TN, USA: ISLS.
  9. Lesh, R., Brady, C. & Wilkerson-Jerde, M. (2011). Models and Modeling Working Group. Workshop in Proceedings of the 2011 meeting of the Psychology of Mathematics Education–North American Chapter (PME-NA) (pp. 638-647). Reno, NV.
  10. Wilkerson-Jerde, M. & Wilensky, U. (2010). Seeing change in the world from different levels: Understanding the mathematics of complex systems. In M. Jacobson (Org.), U. Wilensky (Chair), and P. Reimann (Disc.), Learning about Complexity and Beyond: Theoretical and Methodological Implications for the Learning Sciences. In K. Gomez & J. Radinsky (Ed.), Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010) (Vol 2, pp. 187-194). Chicago, IL.

Invited Talks

Academic Talks

  • Keynote Presentation at CERME-14 (Dialog with Rolf Biehler) (Feb 2025). The new role of data in society: Challenges and opportunities for mathematics education in the age of data science and AI. Bozen-Bolzano, Italy.
  • University of Paderborn Colloquium Series on Data Science and Artificial Intelligence in School (June 2022). A Framework for Exploring the Purposes and Processes of Data Wrangling in Complex Self-Directed Analysis Tasks University of Paderborn, Germany. (Lecture delivered online)
  • BSCS Science Learning Seminar Series (May 2022). Learning through Data, Experience, and Histories in the Writing Data Stories Project. BSCS Science Learning, Colorado Springs, CO, USA. (Lecture delivered online)
  • 2021 Jan Hawkins Award Address (April 2021). Learning from Youths’ Resistance in the Design of Scientific Computing Activities. Annual Conference of the American Educational Research Association, Conference Online Only.
  • Plenary at 2020 Online Seminar Series on Programming in Mathematics Education (July 2020). Computing with Data as a Window on the World. Western University, London, Ontario, Canada. (Lecture delivered online)
  • Keynote at 2019 Conference on Mathematics and its Connections to Arts and Science (May 2019). Putting Artistic and Mathematical Expression into Conversation Through Computing. McGill University, Quebec, Montreal, Canada.
  • Data Science Education Technology Webinar Series (November 2017). Data Moves and Data Stories. Concord Consortium, Concord, MA, USA. (Lecture delivered online)
  • Keynote at the Computational Thinking and Mathematics Education Symposium (October 2017). Computational Integration to Support Expression, Refinement, and Collective Knowledge in Classroom Communities. University of Ontario Institute of Technology, Ontario, Canada.
  • SRI International STEM Education Colloquium Series (May 2017). Tools to Support Scientific Expression, Exploration, and Progress in K-12 Classrooms. SRI International, Menlo Park, CA, USA.
  • Michigan State University CREATE for STEM Science Seminar Series (April 2017). Putting Student Ideas to Work: Tools to Support Scientific Expression and Progress in K-12 Classrooms. Michigan State University, East Lansing, MI.
  • Modeling and Model-Based Reasoning in STEM Conference (Aug 2016). Student Authorship and Computational Tools in K-12 Models-Based Education. Purdue University, IN.
  • California Academy of Sciences (July 2016). Supporting Data Visualization Literacy in Middle School. Teacher and Youth Engagement Team. San Francisco, CA.
  • Stanford University (April 2016). Classroom Computational Modeling Ecologies. Weiman & Schwartz Research Groups, Stanford, CA.
  • Gordon Research Conference on Visualization in Science and Education Plenary (August 2015). Expressive technologies and learning by building visualizations. Bates College, Lewiston, ME.
  • University of Maryland (March 2015). Coordinating mathematical, representational, and domain-specific knowledge in data visualization design. Center for Math Education Colloquium Series. College Park, MD.
  • Cyberlearning 2015: Connect, Collaborate, and Create the Future (January 2015). DataSketch: Exploring youths’ data visualization competencies [Short Talk]. Washington, DC.
  • 2014 Cyberlearning Summit (June 2014). Connecting young people’s expressive activities with the tools of math and science. Wisconsin Union, University of Wisconsin-Madison, WI.
  • Massachusetts Bay Community College (October 2012). Speaking mathematically: Exploring how students align mathematical language with narrative description. Seminar for NSF STEP UP presentation series, Wellesley, MA.
  • University of New Hampshire (November 2011). Connecting mathematics to meaning: Examples from mathematicians and high school students. Seminar for STEM Education Colloquium series, Durham, NH.
  • Michigan State University (March 2011) The emergence of mathematical meaning: Coordinating individual and collective levels of description through computational modeling. College of Education, East Lansing, MI.
  • University of Akron (February 2011). The emergence of mathematical meaning: Coordinating individual and collective levels of description through computational modeling. College of Education, Akron, OH.

Press and Public Outreach

  • 2022 NSF STEM for All Video Showcase. Wagh, A., Blikstein, P., Bumbacher, E., Eloy, A., Fuhrmann, T., Rosenbaum, L., Wilkerson, M. H., & Wolf, J. From Access to Sustainability: Investigating Ways to Foster Sustained Engagement in Computational Modeling in Middle School Classrooms. [Video]. Retrieved from https://videohall.com/p/2357
  • 2016 NSF Advancing STEM Learning for All Video Showcase. Wilkerson, M. H. & Laina, V.* (2016). DataSketch: Exploring computational data visualization in the middle grades. [Video]. Retrieved from http://stemforall2016.videohall.com/presentations/683
  • 2015 NSF Teaching and Learning Video Showcase. Wilkerson-Jerde, M. H., Andrews, C., Gravel, B. E., & Shaban, Y. (2015). The SiMSAM project. [Video]. Retrieved from http://resourcecenters2015.videohall.com/presentations/566
  • WGBH Forum on Digital Media for STEM Learning. Wilkerson-Jerde, M. H. (2014). Connecting young people’s expressive activities with the tools of math and science. WGBH Studios, Boston, MA. Video accessible from https://www.youtube.com/watch?v=5AK0hSbuHqI
  • New York Times Numberplay. My computational solution to Gary Antonik’s August 2012 “Wolves and Sheep” puzzle was featured. Accessible at https://wordplay.blogs.nytimes.com/2012/09/10/numberplay-catbird-seat/

Refereed Conference Presentations

Paper Presentations

  1. Wilkerson, M. H, Kim, J.*, & Stokes, D. J.* (2024). Heuristics for Sociocritical Engagement with Data Artifacts: Why, When, and How Might Teachers Use Them? Full paper to be presented at the 2024 Annual Meeting of the American Educational Research Association (AERA’24), Philadelphia, PA, USA.
  2. Foley, E.* & Wilkerson, M. H. (2024). Classroom Accessibility as a Sociotechnical System: The Case of Data Visualization Literacy. Roundtable paper to be presented at AERA’24, Philadelphia, PA, USA.
  3. Fitzmaurice, H. L. ‡ & Wilkerson, M. H. (2024). Community Organizing for Climate Change and Environmental Justice Instruction at the School District Level. 2024 Annual Meeting of the National Association for Research on Science Teaching (NARST’24). Denver, CO. March 18.
  4. Wei, X.*, Bhargava, P.*, McBride, C.‡, Reigh, E.‡, Erickson, T., Finzer, W., & Wilkerson, M. H. (2023). Engaging the tensions between data and experience: Writing data stories with story builder. In D. Weintrop (Org, Chair) & DiSalvo, B. (Disc.), Design principles for creating accessible and inclusive introductory computing experiences. AERA’23, Chicago, IL, USA.
  5. Fuhrmann, T., Rosenbaum, L., Eloy, A.*, Wagh, A., Wolf, J., Blikstein, P., & Wilkerson, M. H. (2023). Right but Wrong: The Independence of Mechanistic Reasoning and Canonical Understanding in Studying Diffusion. 2023 Annual Meeting of the National Association for Research on Science Teaching (NARST’23). Chicago, IL.
  6. Wagh, A., Eloy, A.*, Fuhrmann, T., Rosenbaum, L., Blikstein, P., Wilkerson, M. H. (2023). What dimensions of a phenomenon do students notice through computational modeling & data analysis?: An investigation using MoDa. 2023 Annual Meeting of the National Association for Research on Science Teaching. Chicago, IL.
  7. Pimentel, D.*, Horton, N., & Wilkerson, M. H. (2023). Tools for learning and doing data science as the K-12 level. Paper in M. H. Wilkerson (Org.) & A. Stephens (Chair), Foundations of K-12 Data Science Education. Symposium to occur at the 2023 Annual Meeting of the American Educational Research Association, Chicago, IL, USA.
  8. Foley, E.* & Wilkerson, M. H. (2022). Accessible DataLIT: Discovering the role teachers of the visually impaired play in data literacy development. Paper presented at the 2022 Annual Meeting of the American Educational Research Association, San Diego, CA, USA. SIG Learning Sciences/Advanced Technologies for Learning Best Student Paper Award.
  9. Wagh, A., Fuhrmann, T., Eloy, A., Bumbacher, E., Wilkerson, M. H., & Blikstein, P. (2022). Lessons from co-designing with science teachers to support sustained computational modeling in middle school classrooms. Roundtable paper presented at the 2022 Annual Meeting of the American Educational Research Association, San Diego, CA, USA.
  10. Wilkerson, M. H. (2022). Writing our data stories: Repurposing scientific datasets to integrate students’ perspectives. Short presentation at the Twelfth International Research Forum on Statistical Reasoning, Thinking, and Literacy (SRTL-12). Conference held online.
  11. Chen, E.*, Wilkerson, M. H., & Asta, M. (2021). Integrating Interactive Computing Experiences into Materials Science and Engineering Curricula Using Open-source Jupyter Authoring Tools. In Symposium BIO1: Developing an open-source introductory textbook for the materials community. To be presented at the 2021 Materials Research Society Fall Meeting & Exhibit. Boston, MA, USA, Nov 29-Dec 2.
  12. Wilkerson, M. H., Laina, V*. (2020/conference cancelled due to COVID-19). Students’ strategies for reasoning about complex systems using aggregate data sources. Paper in S. Levy (Org.) & M. Jacobson (Disc.), Restructuring concepts and tools through a complexity perspective. Symposium accepted at the 2020 Annual Meeting of the American Educational Research Association (AERA).
  13. Lopez, L.*, Gutiérrez, K., & Wilkerson, M. H. (2020/conference cancelled due to COVID-19). Epistemic actors: Double binds and the negotiation of epistemic participation. Accepted as a roundtable paper at the 2020 Annual Meeting of the American Educational Research Association (AERA).
  14. Wilkerson, M. H., Shareff, R. L.*, & Lanouette, K.* (2019). Learning to transform data: A longitudinal interview study. Long presentation at the Eleventh International Research Forum on Statistical Reasoning, Thinking, and Literacy (SRTL-11).
  15. Lopez, L.*, Wilkerson, M. H., & Laina, V.* (2019). Data as proxy: Sociomaterial supports and constraints on the use of data for epistemic agency. Paper presented at the 2019 Annual Meeting of the National Association for Research in Science Teaching (NARST).
  16. Laina, V.*, & Wilkerson, M. H. (2019). Seeing things differently: A form and function analysis of student-generated dynamic data visualizations. Paper presented at the 2019 Annual Meeting of the American Educational Research Association (AERA).
  17. Wilkerson, M. H. & Lanouette, K.* (2019). Making data useful: A longitudinal examination of young adults’ developing data transformation processes. Poster presented at the 2019 Annual Meeting of the American Educational Research Association (AERA).
  18. Lopez, M. L.*, Laina, V.*, & Wilkerson, M. H. (2019). Agentive use of public quantitative data in scientific argumentation: A case study. Roundtable paper presented at the 2019 Annual Meeting of the American Educational Research Association (AERA).
  19. Shareff, R. L*. & Wilkerson, M. H. (2018). Grounding computational modeling experience in fertile soil: A design project with middle school science teachers and students. In A. Wagh (Org.) & J. Kolodner (Discussant), Bridging computational modeling tools & practices into the existing structures of k-16 environments in science education. Symposium to be presented at the 2018 Annual Meeting of the American Educational Research Association. New York, NY, USA, April 13-17.
  20. Wilkerson, M. H. & Lanouette, K.* (2017). Connecting research and creating frameworks: A report from the youth, learning, and data science summit. Short presentation at SRTL-10: The Tenth International Research Forum on Statistical Reasoning, Thinking, and Literacy. Rotorua, New Zealand, July 2-8.
  21. Laina, V.* & Wilkerson, M. H. (2017). Modeling data by visualizing it. Long presentation at SRTL-10: The Tenth International Research Forum on Statistical Reasoning, Thinking, and Literacy. Rotorua, New Zealand, July 2-8.
  22. Wilkerson, M. H. & Laina, V.* (2017). Designing to support data visualizations as an exploratory tool in science. Paper to be presented as part of M. Gresalfi (Org.) and D. Clark (Chair), Designing digital environments to support mathematical and scientific reasoning: Theoretical and disciplinary perspectives. AERA 2017, San Antonio, TX.
  23. Finzer, W., Erickson, T., & Wilkerson, M. (2016). Data Science Games—Rapid Iteration through Game, Data, Model. Annual meeting of the Center for Innovative Research in Cyberlearning, 2016.
  24. Wilkerson, M. H. & Gravel, B. E. (2016). Tools, problem spaces, and epistemic games. In K. Chase & D. Abrahamson (Orgs.), Discovery-based learning 2.0: Are we there yet? Symposium presented at the 2016 Annual Meeting of the American Educational Research Association, Washington, DC.
  25. Wilkerson-Jerde, M. H., Gravel, B. E., Andrews, C.*, & Shaban, Y.* (2015). Teacher attention and pedagogical goals in a computational modeling-focused professional development workshop. Presented at the 2015 Annual Meeting of the American Educational Research Association. Chicago, IL, April 16-20.
  26. Wilkerson-Jerde, M. H. (2015). Stories of our city: Coordinating youths’ mathematical, representational, and community knowledge through data visualization design. Presented at the 2015 Annual Meeting of the American Educational Research Association. Chicago, IL, Apr 16-20.
  27. Wilkerson-Jerde, M. H., & Gravel, B. E. (2015). Mapping the influence of participant groups and contexts in participatory design-based research. To be presented as part of S. Grover (Org.), Design-based research for the learning sciences: A coming of age?. Symposium at the 2015 Annual Meeting of the American Educational Research Association. Chicago, IL, April 16-20.
  28. Wilkerson-Jerde, M. H. & Head, E.^ (2015). Designing data visualizations to promote mathematics learning and identity development. Brief Research Report to be presented at the 2015 National Council of Teachers of Mathematics Research Presession, Boston, MA, April 15.
  29. Wilkerson-Jerde, M. (2014). “Calculus lied to us!”: Functional reasoning about complex systems. In C. Hagen (Org.) & M. Carlson (Discussant), Developing understandings of mathematical functions: perspectives on learning across the grades. Symposium at the 44th Annual Conference of the Jean Piaget Society, San Francisco, CA. May 24-27.
  30. Wilkerson-Jerde, M., Gravel, B. & Macrander, C.* (2014). Exploring shifts in middle school learners’ modeling activity while drawing, animating, and simulating molecular diffusion. Presented at the 2014 Annual Meeting of the American Educational Research Association. Philadelphia, PA, April 3-7.
  31. Wilkerson-Jerde, M., Gravel, B., Macrander, C.*, Bell, A.*, & Krouwer, M.* (2013). Grain of sand strand: Developing SiMSAM, an integrated animation, simulation, and data analysis toolkit. Presented in Rick, J., Horn, M., & Martinez-Moldonado, R. (Orgs.) CSCL 2013 Pre-Conference Workshop Human-Computer Interaction and the Learning Sciences. Madison, WI. July 14.
  32. Macrander, C.*, Wilkerson-Jerde, M. & Gravel, B. (2013). Nested framings and the pursuit of authentic scientific inquiry. Paper presented at the 43rd Annual Meeting of the Jean Piaget Society, Chicago, IL. June 7-9.
  33. Wilkerson-Jerde, M. & Wilensky, U. (2011). Designing for multiple access points to powerful mathematics. In Veeragoudar Harrell, S. & Wilkerson-Jerde, M. (Chairs), Wilkerson-Jerde, M. & Veeragoudar Harrell, S. (Orgs.) & C. Lee (Disc.), Rethinking STEM Content, Access, and Agency for Broad Participation: A Designer/Practitioner Dialogue. Symposium and paper presented at the 2011 Annual Meeting of the American Educational Research Association, New Orleans, LA.
  34. Wilkerson-Jerde, M. & Wilensky, U. (2011). New tools for modeling quantitative variation in complex systems: A design and preliminary classroom study. Paper presented at the 2011 Annual Meeting of the American Educational Research Association, New Orleans, LA. April 8-12.
  35. Wilkerson-Jerde, M. & Wilensky, U. (2010). Qualitative calculus of systems: Exploring students’ understanding of rate of change and accumulation in multiagent systems. Presented at the 2010 Annual Meeting of the American Educational Research Association, Denver, CO, April 30 - May 4. SIG Learning Sciences/Advanced Technologies for Learning Best Student Paper Award.
  36. Wilkerson-Jerde, M. & Wilensky, U. (2010). Reflected abstraction and knowledge reconstruction in expertise: Tracking mathematicians’ sensemaking around unfamiliar mathematical ideas. Presented at the 40th Annual Meeting of the Jean Piaget Society, St Louis, MO, June 3-5.
  37. Wilkerson-Jerde, M. & Wilensky, U. (2010). Deltatick: Using agent-based modeling to learn the calculus of complex systems. In U. Wilensky (Chair). Small Steps for Agents… Giant Steps for Students?: Learning with Agent-Based Modeling. Presented at Constructionism 2010. Paris, France, Aug 16-20.
  38. Wilkerson-Jerde, M. & Wilensky, U. (2009). Complementarity in equational and agent-based models: A pedagogical perspective. In M. Jacobson (Org.), Complexity, Learning, and Research: Under the Microscope, New Kinds of Microscopes, and Seeing Differently. Presented at the 2009 Annual Meeting of the American Educational Research Association, San Diego, CA, April 13-17.
  39. Wilkerson, M. & Wilensky, U. (2008). Embedding environments as a mechanism for mathematical reasoning: An expert study. Presented at the 2008 Annual Meeting of the American Educational Research Association, New York, NY, March 24-28.
  40. Sengupta, P., Wilkerson, M. & Wilensky, U. (2007). On the relationship between spatial knowledge and learning electricity: Comparative case studies of students using 2D and 3D emergent, computational learning environments. Presented at the 2007 Annual Meeting of the American Educational Research Association, Chicago, IL, April 9-13.

Posters and Other Participations

  1. Wilkerson, M. H., Shah, Z.*, & Barton, J. C.* (2024) The purpose and promise of Critical Data Activities through the Eyes of Teacher Educators. In the symposium Exploring Critical Data Literacy in K-12 Social Studies, AERA’24, Philadelphia, PA, USA.
  2. Wilkerson, M. H. & Roberto, C.* (2024). Dreams and Contestations: Minoritized Youths’ Redefinitions of Computing. In the symposium The Role of Emergent Technologies in Equitable Futures: Navigating Between Entrenched Injustices and Expansive Possibilities, AERA’24, Philadephia, PA, USA.
  3. Wilkerson, M. H. (Org.) & Stephens, A. (Chair). (2023). Foundations of K-12 Data Science Education. Symposium at the 2023 Annual Meeting of the American Educational Research Association, Chicago, IL, USA.
  4. Wei, X.*, Bhargava, P.*, McBride, C.‡, Reigh, E.‡, Erickson, T., Finzer, W., & Wilkerson, M. H. (2023). Engaging the tensions between data and experience: Writing Data Stories with Story Builder. In Weintrop, D. (Org.), Design principles for creating accessible and inclusive introductory computing experiences. Symposium to be presented at AERA 2023, Chicago, IL, USA.
  5. Leib, E.*, Massab, H., Hurney, R., Wilkerson, M., & Bunge, S. (2022). Evaluating a relational reasoning intervention for graph comprehension in middle school. Poster presented at the Biennial Conference of the Cognitive Development Society, April 21-23, Madison, WI, USA.
  6. Escudé, M. E.*, Reigh, E. V.*, Bakal, M.*, Rivero, E.*, Wilkerson, M. H., & Gutiérrez, K. (2022). Developing Spatial-Making Repertoires Through Sociocritical Data Stories. In Lee, S. (Chair), Designing for Dignity Affirming Experiences: Leveraging Embodied Learning Towards Equity in Interaction. Symposium at AERA 2022, San Diego, CA, USA.
  7. Wilkerson, M. H., Stokes, D., Lee, H. S., Reigh, E. V., Escudé, M. E., Rivero, E., & Gutiérrez, K. (2022). A framework for exploring self, community, histories, and futures through data. In Miller, K., Yoon, S. (Chairs) & Rubin, A. (Discussant), Data Literacy in Context: Culturally Oriented and Place-Based Learning through Data. Symposium at AERA 2022, San Diego, CA, USA.
  8. Koyuncu, B.* & Wilkerson, M. H. (2022). Examining the influence of tool selection on curriculum design for Data science education. Poster at AERA 2022, San Diego, CA, USA.
  9. Rivero, E.*, Wei, X.*, Wilkerson, M. H., Gutiérrez, K., Bhargava, P.*, & Zheng, H.* (2022). Syncretic data reasoning: Youth leveraging everyday knowledges to expand their reasoning around data. Poster at AERA 2022, San Diego, CA, USA.
  10. Wagh, A., Kochevar, R., Louie, J., & Wilkerson, M. H. (2021). Exploring tools and strategies for advancing data literacy in K12 curricula. Panel presentation at the 2021 National Science Foundation DRK12 PI Meeting, June 17, Washington, DC, USA.
  11. Jamarillo, J. *, Wilkerson, M. H., & Lopez, M. L. (2020/conference cancelled due to COVID-19). Overcoming the teacher-student script—student persistence in light of constraints on epistemic data agency. Interactive poster at the 2020 Annual Meeting of the National Association for Research on Science Teaching, Portland, OR, USA.
  12. Wilkerson, M. H., Lopez, L.*, & Jamarillo, J.* (2020/conference cancelled due to COVID-19). Making “data claims” as an (inter)disciplinary practice in the science classroom. Poster in J. M. Rosenberg & B. Chen (Orgs.), V. Lee (Disc.), Exploring data science across the curriculum and across grade levels. Symposium at AERA 2020.
  13. Wilkerson, M. H. (2019). First steps in research: Watching high-school students making data moves—and then what? In T. Erickson (Org.), Data science education at the school level. Invited panel presentation at the Joint Statistical Meeting (JSM 2019), Denver, CO, USA. July 27-August 1.
  14. Wilkerson, M. H., Deitrick, E.*, & Simoneau, E.^ (2017). Integrating computational thinking in high school statistics through data modeling with R. In B. Litts & M. Wilkerson (Orgs.), Stories from the field: Integrating computational thinking across curricular domains. AERA 2017, San Antonio, TX, USA. April 27-May 1.
  15. Wilkerson, M. H. (2017). Using a dra
    16. wing, animation, and simulation sequence to scaffold student production of scientific models. In A. Karan & D. Clark (Orgs.), Supporting science as a modeling practice in the classroom through the lens of NGSS. Poster presented at AERA 2017, San Antonio, TX, USA. April 27-May 1.
  16. Wilkerson, M. & Laina, V.* (2016). How do youth reason about dynamic data visualizations? A preliminary study. Poster presented at the Society for Research in Child Development Special Topic Meeting: Technology and Media in Children’s Development, Irvine, CA, USA. October 27-30.
  17. Laina, V.* & Wilkerson, M. (2016). DataSketch: A tool for youth to create dynamic data visualizations with ink sketches. Demonstration presented at the Society for Research in Child Development Special Topic Meeting: Technology and Media in Children’s Development, Irvine, CA, USA. October 27-30.
  18. Shaban, Y.* & Wilkerson-Jerde, M. (2016). Looking beyond cues in understanding the co-construction of epistemological framing during interviews: A case study. Poster presented at the 2016 Annual Meeting of the American Educational Research Association, Washington, DC, USA. April 8-12.
  19. Walkoe, J., Wilkerson-Jerde, M., & Elby, A. (2016). Technology-mediated teacher noticing: A goal for classroom practice, tool design, and professional development. Poster presented at the 2016 Annual Meeting of the American Educational Research Association, Washington, DC, USA. April 8-12.
  20. Wilkerson-Jerde, M. & Maldonis, J.* (2013). Patterns in students’ processes for representing quantitative change across multiple scenarios with multiple media. Poster presented at the 2013 Annual Meeting of the American Educational Research Association, San Francisco, CA, USA. May 24-27.
  21. Wilkerson-Jerde, M., Bautista, A., Brizuela, B. & Tobin, R. (2013). “Because that word model is loaded”: What count as models and modeling for middle school mathematics teachers. Poster presented at the 2013 National Council of Teachers of Mathematics (NCTM) Research Presession. Denver, CO, USA. April 15-17.
  22. Wilkerson-Jerde, M. (2012). The Category Creator: An Interactive Online Gallery for Bridging Student-Generated Artifacts and Whole-Classroom Reflection. Poster presented at the 2012 Annual Meeting of the American Educational Research Association, Vancouver, BC. April 13-17.
  23. Wilkerson-Jerde, M., Jacobs, A., & Wilensky, U. (2009). Getting the whole picture: Tracking expert learning over time with networks. Presented at the Annual Northwestern Institute on Complex Systems Complexity Conference, Evanston, IL, USA. September 2. Best Student Poster Award.
  24. Jacobs, A.*, Wilkerson-Jerde, M., Sengupta, P., & Wilensky, U. (2009). When does 3D visualization work?: In search of design principles for three-dimensional visuospatial agent-based models. Student poster presented at the Annual Meeting of the American Association for the Advancement of Science Southwestern and Rocky Mountain Division (AAAS-SWARM), March 29.
  25. Wilkerson, M. (2004). Knot theory fashion: Brunnian style, infinite possibilities. Presented at Student Poster Session, Southern California & Nevada Section of the Mathematical Association of America, San Diego, CA, USA. March 6. Best Student Poster Award.

Software and Curricular Products

Show Your Work (SyW) 2025-Present
A gentle introduction to Jupyter notebooks for K-12 teachers
DSE-citan 2024-Present
Quarto notebook for bibliometric analysis of the “Data Science Education” literature
MoDa (Modeling and Data: with Tamar Fuhrmann, Aditi Wagh, Paulo Blikstein) 2019-Present
Drag and drop toolkit that integrates agent-based modeling with data analysis.
DataBytes (with Hollylynne Lee, David Stokes, Eddie Rivero, and Lisette Lopez) 2022
Data visualization discussion protocol released under CC-BY-NC-4.0
DataSketch (with Radiant Llama; Agile Global Solutions) 2014-2018
Data visualization toolkit; digital ink objects programmed to respond to live or archival datasets. SiMSAM (with Brian Gravel; Geisel Software) 2012-2017
Integrated stop-action moviemaking, simulation, and measurement toolkit for scientific modeling. DeltaTick (With Aditi Wagh and Uri Wilensky) 2010-2012
Domain-specific block-based programming interface for the NetLogo modeling environment. Categorizer 2009-2011
Interactive online gallery to allow learners to share, classify & compare computational artifacts. NetLogo Models Library Contributions 2006-2011
Vee Flocking (with Forrest Stonedahl), 3D GasLab Suite, Chaos Suite, Surface Walking.
Ubiquitous Presenter (with Beth Simon and William Griswold). 2004-2005 Tablet-based slide annotation and student response tool for large lecture-based classrooms.

Teaching

Courses

EDUC 130: Knowing and Learning in Mathematics and Science FA24
EDUC 375: The Art of Teaching SP24
EDUC 295B: Technology, Curriculum, and Instruction SP17, every Spring ’19-’24
EDUC 209 (formerly 223B): Academic Writing Group FA17, SP18, every semester SP19-FA23, FA24
UGIS/EDUC c122: Rsch Meth for K12 Math and Sci Tch (CalTeach) SP20, every Fall ’20-’23
EDUC 150/170: K-12 Computing and Data Science Education FA20, SP21
EDUC 223B: STEM Education Support Seminar FA19,SP20
EDUC 223B: CoRE Research Group SP16, FA16, SP17,FA17, SP18, SP19, FA24
EDUC 293V: Video Analysis Methods SP18
EDUC 290C/235A: Scientific Thinking and Learning FA16, FA17 SESAME 210: Practicum in Science and Math Education (Co-taught with Lloyd Goldwasser) FA16
EDUC 290C: Epistemic Forms, Games, and Fluency SP16

At Tufts

ED130: Introduction to Human Development and Learning FA15
ED112: Mathematics Learning Environments every Fall ’12-’15
ED112: Mathematics Learning Environments, (with Judah Schwartz) FA11
ED222/223: STEM Ed Graduate Program Seminar 2012-2013, 2013-2014
ED222/223: STEM Ed Graduate Program Seminar, (with Bárbara Brizuela) 2011-2012
ED291: Intro. to Educational Design and Design-Based Research SP12, FA14
ED121/122/125: The Practice of Teaching (STEM), (with Brian Gravel) SP13
ED121/122/125: The Practice of Teaching (STEM), (with Mary Caddle and Brian Gravel) SP12

Workshops and Tutorials

  • CUNY Computing Integrated Teacher Education Program: Writing Data Stories 2023
    Forty-hour professional learning workshop for 20 teacher educators across the CUNY system to integrate data investigations into syllabi for preservice teacher certification programs. In partnership with CITE.
  • DataBytes and Data Stories in Your Classroom 2022
    Eight-hour professional learning workshop for 50+ K12 teachers.
  • DataBytes Professional Learning Summer Workshop 2022
    2-day in-person professional learning workshop for 50+ K-12 teachers on data visualization discussion protocols and classroom implementation strategies.
  • Data Stories 2022
    Two hour professional learning workshop for CUNY Computing Integrated Teacher Education program.
  • Telling Stories with Data: Strategies and Tools for Building Data Fluency 2022
    One hour online webinar to introduce and model DataBytes curriculum. 50+ participants.
  • Writing Data Stories Professional Learning Summer Workshop 2020
    2-day online seminar + asynchronous modules for in-service middle school teachers. 15 participants.
  • Data Science Education Webinar Series 2017
    Data Moves and Data Stories. Webinar series sponsored by Concord Consortium.
  • DataSketch Teacher Professional Development Workshop 2017
    Three day workshop on data analysis in science for in-service teachers. Attended by 21 participants.
  • Participatory Design and Technology in Schools 2016
    One and a half hour workshop on participatory design methods for school leaders visiting Berkeley as part of the BI Norway exchange.
  • Data Science Games Teacher Professional Development Workshop 2016
    With William Finzer, Tim Erickson. San Francisco Unified School District workshop on NGSS alignment, data analysis, and visualization technologies.
  • What is Data Science? 2016
    With William Finzer, Tim Erickson. Cyberlearning 2016 Expertise Exchange. Washington, DC.
  • Social Justice & Youth in STEM 2015
    With Tamara Clegg. Cyberlearning 2015 Envisioning Group. Washington, DC.
  • SiMSAM Teacher Professional Development Workshop 2013, 2014
    With Brian Gravel. Tufts University STEM Elementary Education Module.
  • Finding Evidence of Student Thinking 2013
    Leader with Poincaré Institute members. Poincaré (Mathematics Professional Development Program) Cohort 2 Course 2 Kickoff Workshop.
  • What Are My Students Thinking? And, Modeling Data with Functions 2012
    With Poincaré Institute members. Poincaré Cohort 1 Course 3 Kickoff Workshops.
  • NetLogo Demo and Professional Development Session 2010
    Virtual School Symposium, Intern’tl Assoc. for K-12 Online Learning (iNACOL), Glendale, AZ.
  • Agent-Based Modeling with NetLogo: Exploring, Designing, and Building 2010
    With members of the Center for Connected Learning. Constructionism 2010. Paris, France.
  • NetLogo Workshops at Northwestern University 2010
    Led 3 workshops for curriculum designers, teachers, complexity science researchers.

:::

Service

Scholarly Societies and Events

Financial Officer, International Society for the Learning Sciences 2024-Present
Co-Chair (with Daniel Frischemeier) 2024
Topic Study Group in Data Science Education at the 15th International Conference for Mathematics Education
Co-Chair (with Nicholas Horton) 2022
Organizing Committee for National Academies workshop Foundations of Data Science in Grades K-12
Lead Organizer (with Victor Lee, Joseph Polman, Tapan Parikh) 2015-2016
NSF Workshop: Youth, Learning, and Data Science Summit. August 11-12, University of California—Berkeley.
Program Chair, AERA Special Interest Group for Adv. Tech. for Learning 2013-2014
Chair, AERA Special Interest Group for Advanced Technologies for Learning 2012-2013

Editorial Boards

Associate Editor, Statistics Education Research Journal 2025-Present
Associate Editor, Journal of Statistics and Data Science Education 2021-Present
Editorial Board Member, Cognition and Instruction 2020-Present
Editorial Board Member, Journal of the Learning Sciences 2017-Present
Associate Editor (Math Snapshots Column) Digital Experiences in Mathematics Education 2015-2023

Review Commmittees and Panels

Metareviewer, International Conference of the Learning Sciences (ICLS) 2021-Present
Award Committee, AERA Jan Hawkins Award for Humanistic Research in Educational Technologies 2023, 2024
Award Committee, Best Student Paper SIG Learning Sciences and Advanced Technologies for Learning 2014-2024
Program Committee, International Conference of the Learning Sciences (ICLS) 2018, 2020
Program Committee, Cyberlearning Synthesis & Envisioning Meeting 2015
Volunteer Coordinator, Interaction, Design and Children Conference 2015
Faculty Mentor, AERA Div. C Graduate Student Seminar 2014
Program Committee, Fablearn 2013, 2014
Program Committee, Constructionism 2012, 2014
Program Committee, Interaction, Design & Children 2010, 2012