Роль компьютера в математическом образовании – думать вместе со студентом или думать за студента?
Ключевые слова:
подготовка учителей, опыт открытия, числа Фибоначчи, спредшит, Мэйпл, Вольфрам Альфа
Аннотация
Hовейшие достижения в разработке компьютерных программ способных производить сложные символические вычисления могут иметь нежелательные педагогические последствия. Простота вычислений способна непреднамеренно оградить учащихся от трудностей связанных с решением задач – основой основ математического образования. В этой связи, обсуждается идея модификации учебных материалов с тем, чтобы компьютер мог бы служить педагогически правильным помощником в решении задач разного уровня. В качестве примера нового типа задач предлагается не обсуждавшeеся ранее компьютеризированное исследование в классическом контексте чисел Фибоначчи. Статья написана по опыту преподавания математики будущим учителям средней школы.
Литература
1. Conference Conference Board of the Mathematical Sciences, 2012. The Mathematical Education of Teachers II, The Mathematical Association of America, Washington, DC.
2. Epstein, D., Levy, S. & De la Llave, R.. 1992, “About this journal”, Experimental Mathematics, no. 1(1), pp. 1–3.
3. Borwein, J.M., Bailey, D.H. & Girgensohn, R. 2004. Experimentation in Mathematics: Computational Paths to Discovery. A K Peters, Natick, MA.
4. Common Core State Standards. Common Core Standards Initiative: Preparing America’s Students for College and Career, 2010, [On-line]. Available at: http://www.corestandards.org [Accessed 1 May 2015].
5. Schoenfeld, A.H. 1988, “Users of computers in mathematics instruction”, in D.A. Smith, G. Porter, L. Leinbach & R. Wenger (Eds), Computers and Mathematics: The Use of Computers in Undergraduate Instruction, Mathematical Association of America, Washington, DC, no. 9, pp. 1–11.
6. Carmony, L., McGlinn, R., Becker, J.P. & Millman, A. 1984. Problem Solving in Apple Pascal. Computer Science Press, Rockland, MD.
7. Roberts, R.S. & Moore, M.L., 1984, “Programming to learn problem solving”, in: V.P. Hansen & M.J. Zweng (Eds), Computers in Mathematics Education. Yearbook National Council of Teachers of Mathematics: Reston, VA, pp. 162–170.
8. Gibson, J. J. 1977, “The theory of affordances”, in: R. Shaw & J. Bransford (Eds), Perceiving, Acting and Knowing: Toward an Ecological Psychology. Lawrence Erlbaum, Hillsdale, NJ, pp. 67–82.
9. Kieran, C. & Drijvers P. 2006, “The co-emergence of machine techniques, paper-and-pencil techniques, and theoretical reflection: a study of CAS use in secondary school algebra.” International Journal of Computers for Mathematical Learning, no. 11(2), pp. 205-263.
10. Lingefj¨ard, T. 2012, “Mathematics teaching and learning in a technology rich world”, in S. Abramovich (Ed.), Computers in Education, New York: Nova Science Publishers, vol. 2, pp. 171–191.
11. Kaput, J.J. & Noss, R., Hoyles, C. 2008, “Developing new notations for a learnable mathematics in the computational era”, in L.D. English (Ed.), Handbook of International Research on Mathematics Education, 2nd edition, London: Lawrence Erlbaum, pp. 693–715.
12. Freudenthal, H. 1983. Didactical Phenomenology of Mathematical Structures. Reidel, Dordrecht, The Netherlands.
13. Guin, D., Trouche, L. 1999, “The complex process of converting tools into mathematical instruments: the case of calculators”, International Journal of Computers for Mathematical Learning, no. 3(3), pp. 195–227.
14. Langtangen, H. P., Tveito, A. 2001. “How should we prepare the students of science and technology for a life in the computer age?”, in: B. Engquist & W. Schmid (Eds), Mathematics Unlimited – 2001 and Beyond, Springer, New York, pp. 809–825.
15. Maddux, C.D. 1984, “Educational microcomputing: the need for research”, Computers in the Schools, no. 1(1), pp. 35–41.
16. Abramovich, S. 2014, “Revisiting mathematical problem solving and posing in the digital era: toward pedagogically sound uses of modern technology”, International Journal of Mathematical Education in Science and Technology, no. 45(7), pp. 1034–1052.
17. P´ olya, G. 1954. Induction and Analogy in Mathematics. Princeton University Press, Princeton, NJ.
18. Abramovich, S. 1996, “Exploring prime numbers within a spreadsheet”, International Journal of Mathematical Education in Science and Technology, no. 27(5), pp. 693–699.
19. Meyer, H.B. “Eratosthenes’ sieve” [Online], available at: http://www.hbmeyer.de/eratosiv.htm [Accessed 1 May 2015].
20. Matiyasevich, Yu.V. 1999, “Formulas for prime numbers”, in S. Tabachnikov (Ed.), Kvant Selecta: Algebra and Analysis, II Providence, RI: The American Mathematical Society, pp. 13–24.
21. Abramovich, S. 2014. Computational Experiment Approach to Advanced Secondary Mathematics Curriculum. Springer, Dordrecht, The Netherlands.
22. Archimedes. The Method of Archimedes. 1912. T.L. Heath (Ed.). Cambridge University Press, Cambridge, England.
23. Rohlin, V.A. “A Lecture about Teaching Mathematics to Non-Mathematicians. Part I”, [Online], available at: http://mathfoolery.wordpress.com/2011/01/01/a-lecture-about-teaching-mathematics-to-nonmathematicians/ [Accessed 1 May 2015].
24. “The Mathematical Education of Teachers”, 2001. Conference Board of the Mathematical Sciences. The Mathematical Association of America. Washington, DC.
25. Leonov, G.A. & Kuznetsov, N.V. 2013, “Hidden attractors in dynamical systems. From hidden oscillations in Hilbert-Kolmogorov, Aizerman, and Kalman problems to hidden chaotic attractor in Chua circuits”, International Journal of Bifurcation and Chaos, no. 23(1), doi: 10.1142/S0218127413300024.
26. Lucas, E. 1891. Th´ eorie des Nombres (Tome 1). Paris: Gauthier-Villars et Fils.
27. Koshy, T. 2001. Fibonacci and Lucas Numbers with Applications. John Wiley & Sons, New York.
28. Abramovich, S., Leonov, G.A. 2009, “Spreadsheets and the discovery of new knowledge”, Spreadsheets in Education, no. 3(2), pp. 1–42.
29. Cuoco, A. 2001, “Mathematics for teaching”, Notices of the American Mathematical Society, no. 48(2), pp. 168–174.
30. P´ olya, G. 1981. Mathematical Discovery: On Understanding, Learning, and Teaching Problem Solving (combined edition). Wiley, New York.
2. Epstein, D., Levy, S. & De la Llave, R.. 1992, “About this journal”, Experimental Mathematics, no. 1(1), pp. 1–3.
3. Borwein, J.M., Bailey, D.H. & Girgensohn, R. 2004. Experimentation in Mathematics: Computational Paths to Discovery. A K Peters, Natick, MA.
4. Common Core State Standards. Common Core Standards Initiative: Preparing America’s Students for College and Career, 2010, [On-line]. Available at: http://www.corestandards.org [Accessed 1 May 2015].
5. Schoenfeld, A.H. 1988, “Users of computers in mathematics instruction”, in D.A. Smith, G. Porter, L. Leinbach & R. Wenger (Eds), Computers and Mathematics: The Use of Computers in Undergraduate Instruction, Mathematical Association of America, Washington, DC, no. 9, pp. 1–11.
6. Carmony, L., McGlinn, R., Becker, J.P. & Millman, A. 1984. Problem Solving in Apple Pascal. Computer Science Press, Rockland, MD.
7. Roberts, R.S. & Moore, M.L., 1984, “Programming to learn problem solving”, in: V.P. Hansen & M.J. Zweng (Eds), Computers in Mathematics Education. Yearbook National Council of Teachers of Mathematics: Reston, VA, pp. 162–170.
8. Gibson, J. J. 1977, “The theory of affordances”, in: R. Shaw & J. Bransford (Eds), Perceiving, Acting and Knowing: Toward an Ecological Psychology. Lawrence Erlbaum, Hillsdale, NJ, pp. 67–82.
9. Kieran, C. & Drijvers P. 2006, “The co-emergence of machine techniques, paper-and-pencil techniques, and theoretical reflection: a study of CAS use in secondary school algebra.” International Journal of Computers for Mathematical Learning, no. 11(2), pp. 205-263.
10. Lingefj¨ard, T. 2012, “Mathematics teaching and learning in a technology rich world”, in S. Abramovich (Ed.), Computers in Education, New York: Nova Science Publishers, vol. 2, pp. 171–191.
11. Kaput, J.J. & Noss, R., Hoyles, C. 2008, “Developing new notations for a learnable mathematics in the computational era”, in L.D. English (Ed.), Handbook of International Research on Mathematics Education, 2nd edition, London: Lawrence Erlbaum, pp. 693–715.
12. Freudenthal, H. 1983. Didactical Phenomenology of Mathematical Structures. Reidel, Dordrecht, The Netherlands.
13. Guin, D., Trouche, L. 1999, “The complex process of converting tools into mathematical instruments: the case of calculators”, International Journal of Computers for Mathematical Learning, no. 3(3), pp. 195–227.
14. Langtangen, H. P., Tveito, A. 2001. “How should we prepare the students of science and technology for a life in the computer age?”, in: B. Engquist & W. Schmid (Eds), Mathematics Unlimited – 2001 and Beyond, Springer, New York, pp. 809–825.
15. Maddux, C.D. 1984, “Educational microcomputing: the need for research”, Computers in the Schools, no. 1(1), pp. 35–41.
16. Abramovich, S. 2014, “Revisiting mathematical problem solving and posing in the digital era: toward pedagogically sound uses of modern technology”, International Journal of Mathematical Education in Science and Technology, no. 45(7), pp. 1034–1052.
17. P´ olya, G. 1954. Induction and Analogy in Mathematics. Princeton University Press, Princeton, NJ.
18. Abramovich, S. 1996, “Exploring prime numbers within a spreadsheet”, International Journal of Mathematical Education in Science and Technology, no. 27(5), pp. 693–699.
19. Meyer, H.B. “Eratosthenes’ sieve” [Online], available at: http://www.hbmeyer.de/eratosiv.htm [Accessed 1 May 2015].
20. Matiyasevich, Yu.V. 1999, “Formulas for prime numbers”, in S. Tabachnikov (Ed.), Kvant Selecta: Algebra and Analysis, II Providence, RI: The American Mathematical Society, pp. 13–24.
21. Abramovich, S. 2014. Computational Experiment Approach to Advanced Secondary Mathematics Curriculum. Springer, Dordrecht, The Netherlands.
22. Archimedes. The Method of Archimedes. 1912. T.L. Heath (Ed.). Cambridge University Press, Cambridge, England.
23. Rohlin, V.A. “A Lecture about Teaching Mathematics to Non-Mathematicians. Part I”, [Online], available at: http://mathfoolery.wordpress.com/2011/01/01/a-lecture-about-teaching-mathematics-to-nonmathematicians/ [Accessed 1 May 2015].
24. “The Mathematical Education of Teachers”, 2001. Conference Board of the Mathematical Sciences. The Mathematical Association of America. Washington, DC.
25. Leonov, G.A. & Kuznetsov, N.V. 2013, “Hidden attractors in dynamical systems. From hidden oscillations in Hilbert-Kolmogorov, Aizerman, and Kalman problems to hidden chaotic attractor in Chua circuits”, International Journal of Bifurcation and Chaos, no. 23(1), doi: 10.1142/S0218127413300024.
26. Lucas, E. 1891. Th´ eorie des Nombres (Tome 1). Paris: Gauthier-Villars et Fils.
27. Koshy, T. 2001. Fibonacci and Lucas Numbers with Applications. John Wiley & Sons, New York.
28. Abramovich, S., Leonov, G.A. 2009, “Spreadsheets and the discovery of new knowledge”, Spreadsheets in Education, no. 3(2), pp. 1–42.
29. Cuoco, A. 2001, “Mathematics for teaching”, Notices of the American Mathematical Society, no. 48(2), pp. 168–174.
30. P´ olya, G. 1981. Mathematical Discovery: On Understanding, Learning, and Teaching Problem Solving (combined edition). Wiley, New York.
Опубликован
2017-06-03
Как цитировать
Abramovic, S. (2017). Роль компьютера в математическом образовании – думать вместе со студентом или думать за студента?. Компьютерные инструменты в образовании, (2), 45-54. извлечено от http://cte.eltech.ru/ojs/index.php/kio/article/view/1395
Выпуск
Раздел
Компьютер в учебном процессе
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