Genes, Brains, and Human Potential The Science and Ideology of Intelligence

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372 11. THE PROB LEMS OF EDUCATION ARE NOT GE NE TIC


  1. P. H. Schonemann and M. Heene, “Predictive Validities,” 195.

  2. E. Kolbert, “Big Score,” New Yorker, March 3, 2014.

  3. A. Ripley, Th e Smartest Kids in the World and How Th ey Got Th at Way (New York:
    Simon and Schuster, 2013), 192.

  4. S. Engel, Th e End of the Rainbow: How Educating for Happiness (Not Money) Would
    Transform Our Schools (New York: New Press, 2015), 7.

  5. J. S. Armstrong, “Natu ral Learning in Higher Education,” in Encyclopedia of the
    Sciences of Learning (Heidelberg: Springer, 2011), 2426–2433.

  6. I. C. Mc Manus, K. Woolf, J. Dacre, E. Paice, and C. Dewberry, “Th e Academic Back-
    bone: Longitudinal Continuities in Educational Achievement from Secondary School
    and Medical School to MRCP(UK) and the Specialist Register in UK Medical Students
    and Doctors,” BMC Medicine 11 (November 2013): 242, doi:10.1186/1741-7015-11-242.

  7. H. S. Gardner, Th e Unschooled Mind (New York: Basic Books, 2004), 3–4.

  8. J. S. Armstrong, “Natu ral Learning in Higher Education.”

  9. Quoted by D. Koeppel, “ Th ose Low Grades in College May Haunt Your Job Search,”
    New York Times (December 31, 2006): HW1 of the New York ed.

  10. A. Bryant, “In Head- Hunting, Big Data May Not Be Such a Big Deal,” New York Times.
    A version of this article appeared in print on June 20, 2013, on page F6 of the New
    Yo r k e d it ion.

  11. Y. Yuan and B. McKelvey, “Situated Learning Th eory: Adding Rate and Complexity
    Eff ects via Kauff man’s NK Model,” Nonlinear Dynamics, Psy chol ogy, and Life Sciences
    8 (January 2004): 65–103, 70.

  12. See, for example, D. C. Berliner and G. V. Glass (eds.), 50 Myths and Lies Th at Th reaten
    Amer i ca’s Public Schools.

  13. A. D. Schleimann and D. W. Carraher, “Th e Evolution of Mathematical Reasoning:
    Everyday Versus Idealized Understandings,” Developmental Review 22 (October 2002):
    242–266.

  14. Innovation Unit, “Redesigning Secondary Schools,” http:// innovationunit. org / real

    • projects.



  15. See Innovation Unit, “Redesigning Secondary Schools.”

  16. See, for example, D. C. Berliner and G. V. Glass (eds.), 50 Myths and Lies Th at Th reaten
    Amer i ca’s Public Schools, 63.

  17. M. I. Norton, “Unequality: Who Gets What and Why It Matters,” Policy Insights from
    the Behavioral and Brain Sciences 1 (October 2014): 151–155, 151.

  18. J. L. Berg, “Th e Role of Personal Purpose and Personal Goals in Symbiotic Visions,”
    Frontiers in Psy chol ogy (April 2015): doi: 10.3389/fpsyg.2015.00443; see also S. Denning,
    “Th e Copernican Revolution in Management,” Forbes Magazine (July  11, 2013): http://
    w w w. f o r b e s. c o m / s i t e s / s t e v e d e n n i n g / 2 0 1 3 / 0 7 / 1 1 / t h e - c o p e r n i c i a n - r e v o l u t i o n - i n

    • management / #49c4e8af63a0.



  19. Psychologists Against Austerity, “Th e Psychological Impact of Austerity: A Briefi ng
    Paper” (2015): https:// psychagainstausterity. wordpress. com /? s = the+psychological+impact
    +of+austerity.


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