Page 57 - Special Topic Session (STS) - Volume 3
P. 57

STS515 Alison L. G. et al.
            12.  Hatano, G. (1988). Social and motivational bases for mathematical
                 understanding. New Directions for Child and Adolescent Development,
                 1988 (41), 55–70.
            13.  Horton, N.J. & Hardin, J.S. (2015). Teaching the Next Generation of
                 Statistics Students to “Think With Data”: Special Issue on Statistics and
                 the Undergraduate Curriculum, The American Statistician, 69(4), 259-
                 265.
            14.  Mylopoulos, M., Steenhof, N., Kaushal, A. & Woods, N. (2018). Twelve
                 tips for designing curricula that support the development of adaptive
                 expertise. Medical Teacher, 40, 1-5.
            15.  National Academies of Sciences, Engineering, and Medicine (NASEM)
                 (2018). Data Science for Undergraduates: Opportunities and Options.
                 Washington, DC: The National Academies Press.
            16.  National Research Council (NRC). (2000). How People Learn: Brain, Mind,
                 Experience, and School. Washington, DC: The National Academies Press.
            17.  Pierson, S. (2017). Bachelor’s, Master’s Statistics and Biostatistics Degree
                 Growth Strong Through 2016. AmStat News, October 2017.
            18.  Schwartz, D. L., Bransford, J. D. & Sears, D. (2005). Efficiency and
                 Innovation in Transfer. In Transfer of Learning from a Modern
                 Multidisciplinary Perspective, Ed. Mestre, J. Greenwich, CT: Information
                 Age Publishing.
            19.  Utts, J. (2015). The Many Facets of Statistics Education: 175 Years of
                 Common Themes. The American Statistician, 69(2), 100-107.
            20.  van Dyk, D., Fuentes, M., Jordan, M., Newton, M., Ray, B.K., Temple Lang,
                 D. & Wickham, H. (2015).  ASA Statement on the Role of Statistics in
                 Data Science. AmStat News, October 2015.
            21.  Wild, C. (2015).  Further, Faster, Wider.  Online discussion of “Mere
                 Renovation is Too Little Too Late: We Need to Rethink Our
                 Undergraduate Curriculum From the Ground Up,” by George Cobb. The
                 American Statistician, 69(4).
            22.  Zheng, T. (2017). Teaching Data Science in a Statistical Curriculum: Can
                 We Teach More by Teaching Less? Journal of Computational and
                 Graphical Statistics, 26(4), 772-774.

















                                                                46 | I S I   W S C   2 0 1 9
   52   53   54   55   56   57   58   59   60   61   62