Complex adaptive systems and quantitative reasoning in an interdisciplinary STEM mathematics classroom
Tipo de documento
Autores
Lista de autores
Mayes, Robert, Greer, Kania y Walker, Deborah
Resumen
In this presentation we will share outcomes from the Real STEM project, which provides professional development for rural teachers in the Georgia Coastal Plains supporting implementation of interdisciplinary STEM courses as well as STEM modules in mathematics and science courses. Real STEM includes a number of innovative student-active strategies for teaching including: Understanding by Design (UbD) approaches to teaching for understanding, problem-based learning (PBL), place-based education (PBE), complex adaptive systems (CAS) thinking, and quantitative reasoning (QR). QR is the mathematical underpinning of the projects. The projects are ongoing so we will report our results on impact on teacher practice and student learning to this point. We will conclude with a discussion of how the projects may address issues of engagement for rural, low socio-economic status student populations in STEM in Central America and the Caribbean.
Fecha
2013
Tipo de fecha
Estado publicación
Términos clave
Aspectos socioeconómicos | Didácticos (recursos centro) | Enseñanza | Otro (diversidad)
Enfoque
Nivel educativo
Idioma
Revisado por pares
Formato del archivo
Editores (capítulo)
Lista de editores (capitulo)
Morales, Yuri y Ramírez, Alexa
Título del libro
Memorias I CEMACYC
Editorial (capítulo)
Lugar (capítulo)
Rango páginas (capítulo)
1-11
ISBN (capítulo)
Referencias
Davis, B. & Simmt, E. (2003). Understanding learning systems: Mathematics education and complexity science. Journal for Research in Mathematics Education, 34, 137-167. doi: 141.165.213.95 Dodder, R. & Dare, R. (20002). Complex adaptive systems and complexity theory: inter-related knowledge domains. Research Seminar in Engineering Systems. Retrieved from http://web.mit.edu/esd.83/www/notebook/ComplexityKD.PDF June 5, 2013. Jacobson, M.J. & Wilensky, U. (2006). Complex systems in education: Scientific and educational importance and implications for the learning sciences. The Journal of the Learning Sciences, 15(1), 11-34. Lansing, J.S. (2003). Complex adaptive systems. Annual Review of Anthropology, 32, 183-204. doi: 141.165.213.95 Lehrer, R., & Schauble, L. (2002). Investigating Real Data in the Classroom: Expanding children's understanding of math and science. New York: Teachers College Press. Lutsky, N. (2008). Arguing with numbers: Teaching quantitative reasoning through argument and writing. Presented at Calculation vs.Contex: Quantitative Literacy and Its Implications for Teacher Education, Racine, WI. Mayes, R., Forrester, J. H., Schuttlefield Christus, J., Peterson, F., Bonilla, R. & Yestness, N. (2013). Quantitative reasoning in environmental science: A learning progression. International Journal of Science Education, DOI: 10.1080/09500693.2013.819534. Mayes, R., Peterson, F., & Bonilla, R. (2013). Quantitative Reasoning Learning Progressions for Environmental Science: Developing a Framework. Numeracy. January 2013. Mennin, S. (2007). Small-group problem-based learning as a complex adaptive system. Science Direct, 23, 303-313. Doi: 10.1016/j.tate.2006.12.016 National Research Council. (2001b). Grand Challenges in Environmental Sciences. Washington, D.C.: National Academy Press. Schwarz, C.V., Reiser, B.J., Davis, E.A., Kenyon, L., Archer, A., Fortus, D., Shwartz, Y., Hug, B., & Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46, 632-654. Smith, G. A., & Sobel, D. (2010). Place- and Community-Based Education in Schools(Sociocultural, Political, and Historical Studies in Education). Routledge. Strobel, J., & van Barneveld, A. (2009). When is PBL more effective? A meta-synthesis of metaanalyses comparing PBL to conventional classrooms. Interdisciplinary Journal of Problem-based Learning, 3(1), 44-58. Retrieved from http://docs.lib.purdue.edu/ijpbl/vol3/iss1/4/. West, P. (2013). Cultivating a national agenda in STEM. Jamaica Gleaner Online. Retrieved from http://jamaica-gleaner.com/ June 5, 2013. Wing, J. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35.