Computer science is usually thought
of as complex subject bested suited for college students. Can computer science concepts and classic
computer science problems be adapted for elementary students so that young
children can engage with them in a deep way?
The Four Color Map Problem was adapted for elementary students to
explore. I examine the results of giving
this problem to elementary students, both regular and advanced, and also
examine differences in how doctoral level students in math and science
education approached the same lesson. Results
of a qualitative examination of the progression of drawings and commentary used
to prove or disprove the 4 Color Map Problem with the various cohorts in this
study are given. The lesson is also
examined the lesson in terms of constructivism, inquiry based teaching and
learning, and teacher or student centeredness. I examine how the lesson relates
to developmental notions of mathematical proof and how notions of big ideas in
mathematics and science might apply to computer science. Finally, improvements to the original lesson
plan are suggested as a result of experimental results, theoretical frameworks,
and extant research on elementary computer science teaching and learning.
Balacheff, N. (2002). Treatment of refutations: Aspects of the complexity of a constructivist approach to mathematics learning. Radical constructivism in mathematics education, 89–110.
Bell, T., Witten, I. H., Fellows, M., Adams, R., & McKenzie, J. (2005). Computer Science Unplugged: An enrichment and extension programme for primary-aged children. Retrieved from http://ir.canterbury.ac.nz/handle/10092/247
Brennan, K., & Resnick, M. (n.d.). New frameworks for studying and assessing the development of computational thinking. Retrieved from http://web.media.mit.edu/~kbrennan/files/Brennan_Resnick_AERA2012_CT.pdf
Casey, N., & Fellows, M. R. (1993). This Is MEGA-Mathematics - Stories and Activities For Mathematical Thinking, Problem Solving, and Communication. Los Alamos National Laboratory.
Casey, N., & Fellows, M. R. (1997). Implementing the standards: Let’s focus on the first four. Discrete mathematics in the schools, 36, 51.
Cindy, E., Duncan, R. G., & CLARK, A. C. (2007). Scaffolding and achievement in problem-based and inquiry learning: A response to Kirschner, Sweller, and Clark (2006). Educational Psychologist, 42(2), 99–107.
Confrey, J. (1990). A Review of the Research on Student Conceptions in Mathematics, Science, and Programming. Review of Research in Education, 16, 3–56.
Fellows, M. (1993). Computer SCIENCE and Mathematics in the Elementary Schools. In Mathematics and Education Reform 1990-1991 (Vol. 3). American Mathematical Society.
Fellows, M. R. (2003, September 23). The Heart of Puzzling: Mathematics and Computer Games .
Fellows, M. R. (n.d.). Computer Science Unplugged |. Retrieved March 11, 2013, from http://csunplugged.org/
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational psychologist, 41(2), 75–86.
Knapp, J., & Zandieh, M. (2004). EXAMPLES AS TOOLS FOR UNDERSTANDING PROOF IN GEOMETRY. In Proceedings of the Twenty-sixth Annual Meeting North American Chapter of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 674–676). Presented at the PME-NA XXVI, Toronto, Ontario, Canada: Ontario Institute for Studies in Education of the University of Toronto.
Lakatos, I. (1963). Proof and Refutations. The British Journal for the Philosophy of Science, 14(53), 1–25.
Lesh, R., & Harel, G. (2003). Problem solving, modeling, and local conceptual development. Mathematical thinking and learning, 5(2-3), 157–189.
Maloney, J., Resnick, M., Rusk, N., Silverman, B., & Eastmond, E. (2010). The Scratch Programming Language and Environment. ACM Transactions on Computing Education, 10(4), 1–15. doi:10.1145/1868358.1868363
Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? American Psychologist, 59(1), 14.
Papert, S. A. (1993). Mindstorms: Children, Computers, And Powerful Ideas (2nd ed.). Basic Books.
Pea, R. (1985). Beyond Amplification: Using the Computer to Reorganize Mental Functioning. Educational Psychologist, 20(4), 167–182.
Proulx, V. K. (1993). Computer science in elementary and secondary schools. Informatics and Changes in Learning, Proceedings of the IFIP TC3/WG3, 1, 95–101.
Resnick, M. (2002). Rethinking Learning in the Digital Age. In The Global Information Technology Report: Readiness for the Networked World. Oxford University Press. Retrieved from http://hasp.axesnet.com/contenido/documentos/harvard%20global%20it%20readiness.pdf#page=48
Resnick, M. (2004). Edutainment? No thanks. I prefer playful learning. Associazione Civita Report on Edutainment, 14. Retrieved from http://www.roboludens.net/Edut_Articoli/Playful_Learning.pdf
Resnick, M. (n.d.-a). Falling In Love With Seymour’s Ideas.
Resnick, M. (n.d.-b). Reviving Papert’s Dream.
RESNICK, M. (n.d.). Kindergarten Is the Model for Lifelong Learning. Edutopia. Retrieved March 11, 2013, from http://www.edutopia.org/kindergarten-creativity-collaboration-lifelong-learning
Resnick, M., Flanagan, M., Kelleher, C., MacLaurin, M., Ohshima, Y., Perlin, K., & Torres, R. (2009). Growing up programming: democratizing the creation of dynamic, interactive media. In Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (pp. 3293–3296). Retrieved from http://dl.acm.org/citation.cfm?id=1520472
RESNICK, M., & ROSENBAUM, E. (n.d.). DESIGNING FOR TINKERABILITY. Retrieved from http://llk.media.mit.edu/courses/readings/DesignMakePlay-Ch10.pdf
Tymoczko, T. (1979). The four-color problem and its philosophical significance. The Journal of Philosophy, 57–83.
Varghese, T. (2011). Possible Student Justification of Proofs. School Science and Mathematics, 111(8), 409–415.