Cited by 78Mathematics Education and Teaching TechniquesHistory and Theory of MathematicsMathematics Education and Pedagogy

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Mathematics and Virtual Culture: an Evolutionary Perspective on Technology and Mathematics Education

Shaffer, David Williamson, Kaput, James J.·1998·Educational Studies in Mathematics

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Crossref · 10.1023/a:1003590914788

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  • Traditional assessments may be antiquated, assessing skills that humans routinely use machines to perform.

    “And finally, they may be antiquated, assessing skills that humans routinely use machines to perform.”

    From Assessment in the age of artificial intelligence (2022) · cites this paper as Shaffer and Kaput (1998)

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Research works printed but not linked: 69

  1. Block, N. (Ed.): 1981, Imagery, MIT Press, Cambridge, MA.
  2. Bochner, S.: 1966, The Role of Mathematics in the Rise of Science, Princeton University Press, Princeton.
  3. Bruner, J.: 1986, Actual Minds, Possible Worlds, Harvard University Press, Cambridge, MA. · DOI · Paper page
  4. Bruner, J.: 1990, Acts of Meaning, Harvard University Press, Cambridge, MA.
  5. Bruner, J. S.: 1973, Beyond the Information Given: Studies in the Psychology of Knowing, Norton, New York.
  6. Casti, J.: 1996, Would-Be Worlds: How Simulation Is Changing the Frontiers of Science, John Wiley & Sons, New York.
  7. Cohen, J. and Stewart, I.: 1994, The Collapse of Chaos: Discovering Simplicity in a Complex World, Viking Books, New York.
  8. Confrey, J. and Smith, E.: 1994, Exponential functions, rates of change, and the multiplicative unit, Educational Studies in Mathematics 26, 135–168. · DOI
  9. Cuban, L.: 1986, Teachers and Machines: The Classroom Use of Technology Since 1920, Teachers College Press, New York.
  10. Davis, P. J. and Hersh, R.: 1982, The Mathematical Experience, Houghton Mifflin, Boston.
  11. Deacon, T.: 1997, The Symbolic Species: The Co-evolution of Language and the Brain, Norton, New York.
  12. Dennett, D. C.: 1996, Darwin's Dangerous Idea: Evolution and the Meanings of Life, Simon and Schuster, New York.
  13. Donald, M.: 1991, Origins of the Modern Mind: Three Stages in the Evolution of Culture and Cognition, Harvard University Press, Cambridge, MA.
  14. Donald, M.: 1993, Precis of Origins of the Modern Mind: Three Stages in the Evolution of Culture and Cognition, Behavioral and Brain Sciences 16, 737–791. · DOI
  15. Dorfler, W.: 1993, Computer use and use of the mind, in Keitel C. and Ruthven, K. (Eds.), Learning From Computers: Mathematics Education and Technology, Springer-Verlag, Berlin.
  16. Dyson, G. B.: 1997, Darwin Among the Machines: The Evolution of Global Intelligence. Addison-Wesley, Reading, MA.
  17. Fey, J.: 1989, Technology and mathematics education: a survey of recent developments and important problems, Educational Studies in Mathematics 20, 237–272. · DOI
  18. Gardner, H.: 1982, Art, Mind, and Brain: A Cognitive Approach to Creativity, Basic Books, New York.
  19. Gardner, H.: 1997, Thinking About Thinking, New York Review of Books, October 9, 1997, 23–27.
  20. Gibson, W.: 1984, Neuromancer, Ace Books, New York.
  21. Goodman, N.: 1968, Languages of Art: An Approach to a Theory of Symbols, Bobbs-Merrill Co, Indianapolis, IN.
  22. Hall, N.: 1994, Exploring Chaos: A Guide to the New Science of Disorder, Norton, New York.
  23. Heim, M.: 1993, The Metaphysics of Virtual Reality, Oxford University Press, New York.
  24. Hofstadter, D. R.: 1979, Godel, Escher, Bach: An Eternal Golden Braid, Basic Books, New York.
  25. Holland, J. H.: 1995, Hidden Order: How Adaptation Builds Complexity, Addison-Wesley, New York.
  26. Kaput, J. J.: 1986, Information technology and mathematics: Opening new representational windows, The Journal of Mathematical Behavior 5(2), 187–207.
  27. Kaput, J. J.: 1992, Technology and mathematics education, in Grouws, D. A. (Ed.), Handbook of Research on Mathematics Teaching and Learning, Maxwell Macmillan International, New York.
  28. Kaput, J. J.: 1996a, Overcoming physicality and the eternal present: Cybernetic manipulatives, in Mason R. S. J. (Ed.), Technology and Visualization in Mathematics Education, Springer Verlag, London.
  29. Kaput, J. J.: 1996b, Technology, curriculum and representation: Rethinking the foundations and the future, in Doerfler, W. et al (Eds.), Schriftenreihe Didaktik der Mathematik, Trends und Perspektiven, Hoelder-Pichler-Tempsky, Vienna.
  30. Kaput, J. J. and Roschelle, J.: 1998, The mathematics of change and variation from a millennial perspective: New content, new context, in Hoyles, C., Morgan, C. and Woodhouse G. (Eds.), Rethinking the mathematics curriculum, pp. 155–170, Springer Verlag, London.
  31. Kauffman, S.: 1995, At Home in the Universe: The Search for the Laws of Self-Organization and Complexity, Oxford University Press, New York.
  32. Kline, M.: 1972, Mathematical Thought from Ancient to Modern Times, Oxford University Press, New York.
  33. Kosslyn, S. M. and Koenig, O.: 1992, Wet Mind: The New Cognitive Neuroscience, Free Press, New York.
  34. Latour, B.: 1979, Laboratory Life: The Social Construction of Scientific Facts, Sage Publications, Beverly Hills.
  35. McLuhan, M.: 1962, The Gutenberg Galaxy: The Making of Typographic Man, University of Toronto Press, Toronto.
  36. Mithin, S.: 1997, The Prehistory of the Mind: The Cognitive Origins of Art, Religion, and Science, Thames & Hudson, London.
  37. Nelson, K.: 1996, Language in Cognitive Development: Emergence of the Mediated Mind, Cambridge University Press, Cambridge. · DOI
  38. Nemirovsky, R.: 1998, How One Experience Becomes Another, Paper presented at the International Conference on Symbolizing and Modeling in Mathematics Education, Utrecht, June, 1998.
  39. Nemirovsky, R., Kaput, J. and Roschelle, J.: 1998, Enlarging mathematical activity from modeling phenomena to generating phenomena, in Olivier, A. and Newstead, K. (Eds.), Proceedings of the 22nd Conference of the International Group for the Psychology of Mathematics Education, Vol. 3, University of Stellenbosch, Stellenbosch, South Africa, pp. 287–294.
  40. Newell: 1980, Physical symbol systems, Cognitive Science 4, 135–183. · DOI · Paper page
  41. Noss, R. and Hoyles, C.: 1996, Windows on Mathematical Meanings: Learning Cultures and Computers, Kluwer Academic Publishers, Dordrecht, The Netherlands. · DOI
  42. Oppenheimer, T.: 1997, The computer delusion, The Atlantic Monthly 280(1), 45–62.
  43. Papert, S.: 1980, Mindstorms: Children, Computers, and Powerful ideas, Basic Books, New York.
  44. Papert, S.: 1993, The Children's Machine: Rethinking School in the Age of the Computer, Basic Books, New York.
  45. Papert, S.: 1996, The Connected Family: Bridging the Digital Generation Gap, Longstreet Press, Atlanta, GA.
  46. Pea, R.: 1993, Practices of distributed intelligence and designs for education, in Salomon, G. (Ed.), Distributed Cognitions: Psychological and educational considerations, Cambridge University Press, Cambridge.
  47. Reed, D. S.: 1996, The Necessity of Experience, Yale University Press, New Haven.
  48. Resnick, M.: 1994, Turtles, Termites, and Traffic Jams: Explorations in Massively Parallel Microworlds, MIT Press, Cambridge, MA.
  49. Roman, S.: 1990, Logic, Innovative Textbooks, Irvine, CA.
  50. Roschelle, J., Kaput, J. and Stroup, W.: in submission, Scalable integration of educational software: Exploring the promise of component architectures, Journal of Interactive Media in Education.
  51. Rowe, P. G.: 1987, Design Thinking, MIT Press, Cambridge, MA.
  52. Schmandt-Besserat, D.: 1978, The earliest precursor of writing, Scientific American 238. · DOI
  53. Schmandt-Besserat, D.: 1992, Before Writing, University of Texas Press, Austin, TX.
  54. Shaffer, D. W.: 1997, Learning mathematics through design: the anatomy of Escher's world, Journal of Mathematical Behavior 16(2). · DOI
  55. Shaffer, D. W.: in preparation, Society of Design: The Development of Mathematical Thinking in a Digital Design Studio, MIT Media Lab, Cambridge, MA.
  56. Shaffer, D. W., J. Kaput, et al.: 1997, Expressive Mathematics: Making Mathematics Meaningful, National Council of Teachers of Mathematics Research Preconference, Minneapolis, MN.
  57. Sherin, B.: 1996, The Symbolic Basis of Physical Intuition: A Study of Two Symbol Systems in Physics Instruction, University of California, Berkeley, CA.
  58. Simon, H. A.: 1996, The Sciences of the Artificial, MIT Press, Cambridge, MA.
  59. Smith, B. C.: 1996, On the Origin of Objects, MIT Press, Cambridge, MA. · DOI
  60. Turing, A. M.: 1992, Mechanical Intelligence, Elsevier Science Publishers, Amsterdam.
  61. Turkle, S. and Papert, S.: 1990, Epistemological pluralism: Styles and voices within the computer culture, Signs 16(1). · DOI
  62. Tyack, D. and Cuban, L.: 1996, Tinkering Towards Utopia, Harvard University Press, Cambridge, MA.
  63. Von Neumann, J.: 1966, Theory of Self-Reproducing Automata, University of Illinois Press Urbana, IL.
  64. Vygotsky, L.: 1934/1986, Thought and Language, MIT Press, Cambridge, MA.
  65. Vygotsky, L. S.: 1978, Mind in Society, Harvard University Press, Cambridge, MA.
  66. Wilensky, U.: 1991, Abstract meditations on the concrete and concrete implications for mathematics education, in Harel, I. and Papert, S. (Eds.), Constructionism: Research Reports and Essays, Ablex, Norwood, NJ.
  67. Wilensky, U.: 1995, Paradox, programming, and learning probability: a case study in a connected mathematics framework, Journal of Mathematical Behavior 14, 253–280. · DOI
  68. Yerushalmy, M.: 1986, Induction and Generalization: An Experiment in the Teaching and Learning of High School Geometry, Harvard Graduate School of Education, Cambridge, MA.
  69. Yerushalmy, M.: 1991, Student perceptions of aspects of algebraic function using multiple representation software, Journal of Computer Assisted Learning 7, 42–57. · DOI

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Metadata

Authors
Shaffer, D. W., & Kaput, J. J.
Affiliations
  • Harvard University (US)
  • University of Massachusetts Dartmouth (US)
Corresponding author
Kaput, James J.
Venue
Educational Studies in Mathematics
Published
1998-11
Volume
37
Issue
2
Pages
97-119
ISSN
  • 0013-1954 (ISSN-L)
  • 1573-0816
OpenAlex
W1568663543
Cited by
78
References
2
Citations by year
2024: 1 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 4 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 3 · 2014: 1 · 2013: 5 · 2012: 4
FWCI
8.60
Type
journal article
Language
en
Open access
closed
Locations
Educational Studies in Mathematics (publishedVersion)
Topics
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › History and Theory of Mathematics
  • Social Sciences › Education › Mathematics Education and Pedagogy
Keywords
digital culture, cognitive evolution, mathematics education, computational media, representation systems, virtual worlds, symbolic references, formal systems

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