### Publications and Proceedings

Wilkerson-Jerde, M. & Wilensky, U. (Accepted). How do mathematicians learn math?: Resources and acts for constructing and understanding mathematics. To appear in

Wilkerson-Jerde, M. & Wilensky, U. (Accepted). Designed and emergent pedagogical supports for coordinating quantitative and agent-based descriptions of complex dynamic systems. Accepted for presentation at PME-NA 2011.

Wilkerson-Jerde, M. & Wilensky, U. (Manuscript In Preparation). Students' reasoning about quantitative change in complex systems.

Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2011). MAgICS: Toward a multi-agent introduction to computer science. To appear in M. Beer, M. Fasli, and D. Richards (Eds.)

Wilkerson-Jerde, M. & Wilensky, U. (2010). Restructuring change, interpreting changes: The deltatick modeling and analysis toolkit. In

Wilkerson, M. (2009). Computer Math Snapshots. Agents with attitude: Exploring coombs unfolding technique.

Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2009). Reconceiving introductory computer science curricula through agent based modeling. In

Wilkerson-Jerde, M. & Wilensky, U. (2009). Understanding proof: Tracking experts' developing understanding of an unfamiliar proof. In

Wilkerson, M. & Wilensky, U. (2008). How Do Mathematicians Learn Mathematics? In

Denning, T., Griswold, W. G., Simon, B. & Wilkerson, M. (2006). Multimodal communication in the classroom: What does it mean for us? In

Wilkerson, M., Griswold, W. G. & Simon, B. (2005). Ubiquitous presenter: Increasing student access and control in a digital lecturing environment. In

*Educational Studies in Mathematics*.Wilkerson-Jerde, M. & Wilensky, U. (Accepted). Designed and emergent pedagogical supports for coordinating quantitative and agent-based descriptions of complex dynamic systems. Accepted for presentation at PME-NA 2011.

Wilkerson-Jerde, M. & Wilensky, U. (Manuscript In Preparation). Students' reasoning about quantitative change in complex systems.

Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2011). MAgICS: Toward a multi-agent introduction to computer science. To appear 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.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]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]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]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.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]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]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]### Paper Presentations

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 to be conducted at the Annual Meeting of the American Educational Research Association (AERA 2011), New Orleans, LA. [Proposal (abstract and my contribution only)]

Wilkerson-Jerde, M. & Wilensky, U. (2011). New tools for modeling quantitative variation in complex systems: A design and preliminary classroom study. To be presented at AERA 2011, New Orleans, LA. [Proposal]

Wilkerson-Jerde, M. & Wilensky, U. (2010). Qualitative Calculus of Systems: Exploring Students' Understanding of Rate of Change and Accumulation in Multiagent Systems. Presented at AERA 2010, Denver, CO, April 30 - May 4.

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.

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

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.),

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 AERA 2009, San Diego, CA, April 13-17. [PDF]

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.

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]

Wilkerson-Jerde, M. & Wilensky, U. (2011). New tools for modeling quantitative variation in complex systems: A design and preliminary classroom study. To be presented at AERA 2011, New Orleans, LA. [Proposal]

Wilkerson-Jerde, M. & Wilensky, U. (2010). Qualitative Calculus of Systems: Exploring Students' Understanding of Rate of Change and Accumulation in Multiagent Systems. Presented at AERA 2010, Denver, CO, April 30 - May 4.

SIG-LS/ATL Best Student Paper Award

. [PDF]
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.

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.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.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 AERA 2009, San Diego, CA, April 13-17. [PDF]

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.

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]

### Posters and Other

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.),

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.

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.

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.

Wilkerson, M., Sengupta, P., & Wilensky, U. (2008). Perceptual supports for sensemaking: A case study using multi agent based computational learning environments. In

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.

*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]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

.
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]
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.

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]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

.