Publications

Peer Reviewed Papers & Presentations

* Myself bold, students underlined.

2014

  1. Wilkerson-Jerde, M. H., Gravel, B. E., & Macrander, C. A. (2014). Exploring shifts in middle school learners’ modeling activity while generating drawings, animations, and simulations of molecular diffusion. Online First in Journal of Science Education and Technology. doi: 10.1007/s10956-014-9497-5. [PDF][Springerlink]
  2. 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 (AERA).
  3. Wilkerson-Jerde, M. H. (2014). Construction, categorization, and consensus: student generated computational artifacts as a context for disciplinary reflection. Educational Technology Research & Development, 62(1), 99-121. doi: 10.1007/s11423-013-9327-0. [Springerlink]

2013

  1. Wilkerson-Jerde, M., Gravel, B. & Macrander, C. (2013). SiMSAM: An integrated toolkit to bridge student, scientific, and mathematical ideas using computational media. In Proceedings of the International Conference of Computer Supported Collaborative Learning (CSCL 2013) (Vol. 2, pp. 379-381). Madison, WI, USA. [PDF|Poster]
  2. 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. In Proceedings of the 8th Congress on of European Research in Mathematics Education (CERME 8). Antalya, Turkey. [PDF]
  3. Wilkerson-Jerde, M. & Maldonis, J. (2013). Patterns in students’ processes for representing quantitative change across multiple scenarios with multiple media. Presented at the 2013 Annual Meeting of the American Educational Research Association (AERA). [Poster]
  4. Maldonis, J. & Wilkerson-Jerde, M.(2013). Middle school students’ representations of quantitative change over time in simple, complex, and statistical situations. Presented at AERA 2013.
  5. Macrander, C., Wilkerson-Jerde, M. & Gravel, B. (2013). Nested framings and the pursuit of authentic scientific inquiry. Presented at the 2013 Annual Meeting of the Jean Piaget Society.

2012

  1. Wilkerson-Jerde, M. & Maldonis, J. (2012). Toward a data expression toolkit: Identifying the elements of a dynamic representational competence in young learners. In Proceedings of Constructionism 2012.
  2. 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 AERA, Vancouver, BC.

2011

  1. Wilkerson-Jerde, M. & Wilensky, U. (2011). How do mathematicians learn math?: Resources and acts for constructing and understanding mathematics. Educational Studies in Mathematics, 78(1), 21-43. [Springerlink]
  2. Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2011). MAgICS: Toward a multi-agent introduction to computer science. In M. Beer, M. Fasli, and D. Richards (Eds.) Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience. IGI Global. pp. 1-25. [IGI Link] [Google Books]
  3. Wilkerson-Jerde, M. & Wilensky, U. (2011). Designed and emergent pedagogical supports for coordinating quantitative and agent-based descriptions of complex dynamic systems. In Proceedings of PME-NA 2011.
  4. 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 conducted at AERA 2011, New Orleans, LA. [Proposal (abstract and my contribution only)]
  5. Wilkerson-Jerde, M. & Wilensky, U. (2011). New tools for modeling quantitative variation in complex systems: A design and preliminary classroom study. Paper presented at AERA 2011, New Orleans, LA. [Proposal]

2010

  1. 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 Peter Reimann (Discussant), 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 (Vol 2, pp. 187-194). Chicago, IL, Jun 29-Jul 2.
  2. Wilkerson-Jerde, M. & Wilensky, U. (2010). NetLogo HotLink Replay: A Tool for Exploring, Analyzing and Interpreting Mathematical Change in Complex Systems. In K. Gomez & J. Radinsky (Ed.), Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010) (Vol 2, pp. 374-375). Chicago, IL, Jun 29 – Jul 2. [PDF|Poster]
  3. Wilkerson-Jerde, M. & Wilensky, U. (2010). Restructuring change, interpreting changes: The deltatick modeling and analysis toolkit. In Proceedings of Constructionism 2010 (p. 97), Paris, France. [PDF]
  4. 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. In Proceedings of Constructionism 2010. Paris, France, Aug 16 – Aug 20.
  5. Wilkerson-Jerde, M. & Wilensky, U. (2010). Qualitative Calculus of Systems: Exploring Students’ Understanding of Rate of Change and Accumulation in Multiagent Systems. Paper presented at AERA 2010, Denver, CO, April 30 – May 4. SIG-LS/ATL Best Student Paper Award. [PDF]
  6. Wilkerson-Jerde, M. & Wilensky, U. (2010). Reflected abstraction and knowledge reconstruction in expertise: Tracking mathematicians sensemaking around unfamiliar mathematical ideas. Paper presented at the 40th Annual Meeting of the Jean Piaget Society (JPS 2010), St Louis, MO, June 3-5.

2009

  1. Wilkerson, M. (2009). Computer Math Snapshots. Agents with attitude: Exploring coombs unfolding technique. International Journal of Computers for Mathematical Learning, 14(1), p. 51. [PDF]
  2. Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2009). Reconceiving introductory computer science curricula through agent based modeling. In Proceedings of the AAMAS 2009 Workshop on Educational Uses of Multi-Agent Systems (EduMAS ’09) (pp. 63-70). Budapest, Hungary. [PDF]
  3. Wilkerson-Jerde, M. & Wilensky, U. (2009). Understanding proof: Tracking experts’ developing understanding of an unfamiliar proof. In Proceedings of the International Commission on Mathematical Instruction Study 19 (ICMI 19), Proof and proving in mathematics education (Vol. 2, pp. 268-274). Taipei, Taiwan: National Taiwan Normal University.
  4. 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, September 2. Best Student Poster Award.
  5. Wilkerson-Jerde, M. & Wilensky, U. (2009). DeltaTick: Applying Calculus to the Real World through Behavioral Modeling. In Proceedings of the Models in Developing Mathematics Education Conference, September 11-17, 2009. Conference Travel Award. [PDF]
  6. 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, 2009.
  7. 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. Paper presented at AERA 2009, San Diego, CA, April 13-17. [PDF]

2008 and earlier

  1. Wilkerson, M. & Wilensky, U. (2008). How Do Mathematicians Learn Mathematics? In Proceedings of the Joint Meeting of the PME 32 and PME-NA XXX (Vol. 4, pp. 409-416). Morelia, Mexico: PME. [PDF]
  2. Wilkerson, M. & Wilensky, U. (2008). Embedding environments as a mechanism for mathematical reasoning: An expert study. Paper presented at AERA 2008, New York, NY, March 24-28.
  3. Wilkerson, M., Sengupta, P., & Wilensky, U. (2008). Perceptual supports for sensemaking: A case study using multi agent based computational learning environments. In Proceedings of the 8th International Conference of the Learning Sciences (ICLS 2008) (Vol. 3, pp. 151-152). Utrecht, The Netherlands: ICLS. [PDF|Poster]
  4. 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. Paper presented at AERA 2007, Chicago, IL, April 9-13. [PDF]
  5. Denning, T., Griswold, W. G., Simon, B. & Wilkerson, M. (2006). Multimodal communication in the classroom: What does it mean for us? In SIGCSE ’06: Proceedings of the 37th SIGCSE technical symposium on computer science education (pp. 219-223). Houston, TX, USA: ACM Press. [PDF]
  6. Wilkerson, M., Griswold, W. G. & Simon, B. (2005). Ubiquitous presenter: Increasing student access and control in a digital lecturing environment. In SIGCSE ’05: Proceedings of the 36th SIGCSE technical symposium on computer science education (pp. 116-120). St. Louis, MO, USA: ACM Press. [PDF]
  7. 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, March 2004. Best Student Poster Award.