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Design‐based science and student learning

Fortus, David, Dershimer, R. Charles, Krajcik, Joseph, Marx, Ronald W., Mamlok‐Naaman, Rachel·2004·Journal of Research in Science Teaching

Abstract

Design‐Based Science (DBS) is a pedagogy in which the goal of designing an artifact contextualizes all curricular activities. Design is viewed as a vehicle through which scientific knowledge and real‐world problem‐solving skills can be constructed. Following Anderson and Hogan's (1999) call to document the design of new science pedagogies, this goal of this article is twofold: (a) to describe DBS, and (b) to evaluate whether significant science knowledge was constructed during consecutive enactments of three DBS units. In this study, 92 students participated in the consecutive enactments of three different DBS units. The development of their scientific knowledge was assessed through posters and models constructed during the curricular enactments and by identical pre‐ and post‐instruction written tests. The posttests showed considerable gains compared with the pretests, while the models and posters show application of this newly constructed knowledge in solving a design problem. These positive results support efforts being made to restructure school science around inquiry‐based curricula in general and design‐based curricula in particular. © 2004 Wiley Periodicals, Inc. J Res Sci Teach 41: 1081–1110, 2004

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Research works printed but not linked: 57

  1. AAAS, 1990, Science for all Americans
  2. 10.1002/(SICI)1098-2736(199911)36:9<975::AID-TEA2>3.0.CO;2-3 · doi:10.1002/(sici)1098-2736(199911)36:9<975::aid-tea2>3.0.co;2-3
  3. Barrows H.S., 1985, How to design a problem‐based curriculum for the preclinical years
  4. Bartel A.P., 1992, Technological change, trade, and the need for educated employees: Implications for economic policy (NCEE Brief)
  5. Baynes K., 1994, Designerly play
  6. Bjork R.A., 1989, Current issues in cognitive processes: The Tulane Flowerree Symposium on Cognition, 313
  7. Blumenfeld P.C., 1991, Motivating project‐based learning, Educational Psychologist, 26, 369, 10.1207/s15326985ep2603&4_8 · DOI
  8. 10.3102/0013189X025008037 · doi:10.3102/0013189x025008037 · Paper page
  9. 10.1007/978-94-011-4942-6_21 · DOI · Paper page
  10. 10.1207/S15326985EP3503_2 · DOI · Paper page
  11. Brown J.H., 1996, Assessing hands‐on science
  12. Bucciarelli L.L., 1994, Designing engineers
  13. Chiapetta E.L., 2002, Science instruction in the middle and secondary schools
  14. 10.1207/s15326985ep2703_3 · DOI · Paper page
  15. 10.1080/10632919809599450 · DOI
  16. Davis M., 1997, Design as a catalyst for learning
  17. Driver R., 1986, Student's thinking and the learning of science: A constructivist view, School Science Review, 67, 443
  18. Evans J.S.B.T., 1989, Bias in human reasoning
  19. Frederiksen N., 1986, Practical intelligence: Nature and origins of competence in the everyday world, 84
  20. Glass A.L., 1979, Cognition
  21. ITEA, 2002, Standards for technological literacy
  22. Kafai Y.&Ching C.C.(1998).Talking science through design: Children's science discourse within software design activities. Presented at the International Conference of the Learning Sciences Georgia Tech University Atlanta GA.
  23. Kimbell R., 1996, Understanding practice in design and technology
  24. 10.1016/B978-1-55860-237-3.50005-4 · DOI · Paper page
  25. Kolodner J.L. Crismond D. Gray J. Holbrook J.K. &Puntambekar S.(1998).Learning by design from theory to practice. Presented at the International Conference of the Learning Sciences Georgia Tech University Atlanta GA.
  26. 10.1080/10508406.1998.9672057 · DOI · Paper page
  27. Krajcik J.S., 2003, Teaching children science in elementary and middle school classrooms: A project‐based approach
  28. Layton D., 1993, Technology's challenge to science education
  29. 10.3354/meps090031 · DOI
  30. Linn M.C., 1997, International handbook of science education, 265
  31. Lipman M., 1991, Thinking in education
  32. Michigan Department of Education, 1996, Michigan curriculum framework
  33. National Research Council, 1996, National science education standards
  34. 10.1016/B978-0-08-057299-4.50019-0 · DOI · Paper page
  35. NRC, 1996, National science education standards
  36. NRC, 2002, Scientific research in education
  37. 10.1080/10508406.1998.9672060 · DOI · Paper page
  38. Pintrich P.R., 1995, Motivation in education: Theory, research, and applications
  39. Reitman W., 1964, Human judgments and optimality, 282
  40. Roberts P., 1995, Innovations in science and technology education, 27
  41. Roth K.J., 1990, Dimensions of thinking and cognitive instruction, 139
  42. 10.1207/s15327809jls0502_2 · DOI · Paper page
  43. Royal College of Art, 1976, Design in general education. Part 1: Summary of findings and recommendations
  44. 10.1207/s1532690xci0903_1 · DOI · Paper page
  45. Schön D.A., 1985, The design studio: An exploration of its traditions and potentials
  46. 10.1207/s1532690xci1604_4 · DOI · Paper page
  47. Sharan Y., 1989, Group investigation expands cooperative learning, Educational Leadership, 47, 17
  48. 10.1207/s15324818ame0404_7 · DOI
  49. Simon H.A., 1999, The sciences of the artificial
  50. 10.1207/s15327809jls0504_1 · DOI
  51. 10.1002/tea.10013 · DOI · Paper page
  52. Strike K., 1992, Philosophy of science, cognitive science and educational theory and practice, 15
  53. TERC, 2000, Construct‐A‐Glove
  54. 10.3102/0013189X031003025 · DOI · Paper page
  55. Vye N.J., 1998, Metacognition in educational theory and practice, 337
  56. Wason P.C., 1972, Psychology of reasoning: Structure and content
  57. Wineburg S.S., 1994, Cognitive and instructional processes in history and the social sciences, 285

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Metadata

Authors
Fortus, D., Dershimer, R. C., Krajcik, J., Marx, R. W., & Mamlok‐Naaman, R.
Venue
Journal of Research in Science Teaching
Publisher
Wiley
Published
2004-11-03
Volume
41
Issue
10
Pages
1081-1110
ISSN
  • 0022-4308 (ISSN-L)
  • 1098-2736
OpenAlex
W2165662378
Cited by
471
References
6
FWCI
24.04
Type
journal article
Language
en
Open access
closed

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