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3 - The Prehistory of the Learning Sciences

from PART 1 - PAST

Published online by Cambridge University Press:  05 February 2016

Roy D. Pea
Affiliation:
Stanford University
Michael A. Evans
Affiliation:
North Carolina State University
Martin J. Packer
Affiliation:
Universidad de los Andes, Colombia
R. Keith Sawyer
Affiliation:
University of North Carolina, Chapel Hill
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Summary

This chapter describes the prehistory of the learning sciences (LS). My purpose is to provide a historical foundation to the field that will enable readers to recognize, understand, and appreciate its diverse but influential intellectual roots. The following questions in particular are addressed throughout this chapter. (1) What precursors led to the creation of a new intellectual endeavor called “The Learning Sciences”? What were the related efforts and projects underway prior to 1989, the year that Yale Computer Science Professor Roger Schank moved to Northwestern University to found the Institute for the Learning Sciences (ILS)? (2) What motivated the people responsible for the origins of the field? For example, why did it split from the already established field of Artificial Intelligence (AI) and Education, or why did it seem to split from the Cognitive Sciences, or from the American Educational Research Association? (3) What were the key conferences and conversations that led to the founding of LS, and who took part? (4) What funding agencies were involved and what role did they play in the formation of this new field?

First, I must make clear that this chapter is by no means fully comprehensive of all that was going on in a highly charged intellectual field of exciting “ideas in the air” within the period of 1980–1989, but is a decidedly personal account, anchored in my experiences of events and discussions in which I participated or that were referenced in conversations. What I describe could be independently verified with the individuals who were party to the conversations or were involved in the events of the day. Inevitably there will be charges of incompleteness, but the loose guns in critics’ holsters will need to find their own venues for filling in the historical picture. In particular, the United Kingdom was a vibrant network of relevant research, with the University of Edinburgh, Leeds University, and The Open University central nodes of research and development (R&D) activity.

A few especially relevant organizations predecessor to ILS at Northwestern had also been established in the previous decade or, in some cases, several decades earlier. These other initiatives had brought together cognition, education, and technologies: in the Education Department of Bolt, Beranek & Newman (BBN); Bank Street College's Center for Children and Technology (CCT); […]

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Publisher: Cambridge University Press
Print publication year: 2016

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References

Atkinson, R. C., & Hansen, D. N. (1966). Computer-assisted instruction in initial reading: The Stanford Project. Reading Research Quarterly, 2, 5–25.CrossRefGoogle Scholar
Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2(2), 141–178.CrossRefGoogle Scholar
Brown, J. S., & Greeno, J. G. (1984). Report of the National Academy of Sciences Research Briefing Panel on Information Technology and Precollege Education. In Research Briefings, 1984. Washington, DC: National Academies Press.Google Scholar
Bruer, J. T. (1993). Schools for thought: A science of learning in the classroom. Cambridge, MA: MIT Press.Google Scholar
Bruner, J. S. (1960). The process of education. Cambridge, MA: Harvard University Press.Google Scholar
Card, S. K. (Ed.). (1983). Digests of recent research: Cognitive sciences and cognitive technologies, mid 1981–mid 1983. Cognitive and Instructional Sciences Series, CIS-22. Palo Alto, CA: Xerox Palo Alto Research Center,Google Scholar
Center for Social Organization of Schools. (1983). School uses of microcomputers: Reports from a national survey (Issue No. 1). Baltimore, MD: Johns Hopkins University, Center for Social Organization of Schools.
Clancey, W. J. (1982). Tutoring rules for guiding a case method dialog. In Sleeman, D. & Brown, J. S. (Eds.), Intelligent tutoring systems (pp. 201–225). London: Academic Press.Google Scholar
Cole, M., & Griffin, P. (1987). (Eds.). Contextual factors in education: Improving science and mathematics education for minorities and women. Prepared for the National Research Council. Madison, WI: University of Wisconsin, Madison.Google Scholar
Collins, A. (1992). Toward a design science of education. In Scanlon, E. & O'Shea, T. (Eds.), New directions in educational technology (pp. 15–22). New York: Springer-Verlag. Originally published as Collins, A. (1990, January). Toward a design science of education. Technical Report No. 1, Center for Technology in Education. New York: Bank Street College of Education.Google Scholar
Cuban, L. (1986). Teachers and machines: The classroom use of technology since 1920. New York: Teachers College Press.Google Scholar
diSessa, A, Gardner, M., Greeno, J., Reif, F., & Schoenfeld, A. H. (Eds.). (1990). Toward a scientific practice of science education. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Feurzeig, W. (2006). Educational technology at BBN. IEEE Annuals of the History of Computing, 28(1), 18–31. Reprinted as Feurzeig, W. (2011). Educational technology at BBN. In D. Walden & R. Nickerson (Eds.), A culture of innovation. East Sandwich, MA: Waterside Publishing.Google Scholar
Feurzeig, W., Munter, P., Swets, J., and Breen, M. (1964). Computer-aided teaching in medical diagnosis. Journal of Medical Education, 39(8), 746–754.Google ScholarPubMed
Feurzeig, W., Papert, S., Bloom, M., Grant, R., and Solomon, C., (1969, November). Programming-languages as a conceptual framework for teaching mathematics. Final Report on the first fifteen months of the Logo project, BBN Report No. 1989. Cambridge, MA: Bolt Beranek and Newman.Google Scholar
Gagné, R. M. (Ed.). (1962). Psychological principles in system development. New York: Holt, Rinehart & Winston.Google Scholar
GAO (1983, January 1). “Decision: Bank Street College of Education”. Decisions of the Comptroller General of the United States, Vol. 63, October 1, 1983 to September 30, 1984, pp. 394–411. Washington, DC: General Accounting Office.
Hawkins, J. (1993, May). Technology and the organization of schooling. Communications of the ACM: Special issue on technology in K-12 education, 36(5), 30–35.CrossRefGoogle Scholar
Hawkins, J. (1997). The National Design Experiments Consortium: Final report. New York: Center for Children and Technology, Educational Development Center.Google Scholar
Hawkins, J., & Kurland, D. M. (1987). Informing the design of software through context-based research. In Pea, R. D. & Sheingold, K. S. (Eds.), Mirrors of minds: Patterns of experience in educational computing (pp. 258–272). Norwood, NJ: Ablex.Google Scholar
Hawkins, J., Hawkins, J., & Pea, R. D. (1987, April). Tools for bridging the cultures of everyday and scientific thinking. Journal for Research in Science Teaching, 24(4), 291–307.CrossRefGoogle Scholar
Hawkins, J., & Sheingold, K. (1986). The beginning of a story: Computers and the organization of learning in classrooms. In Culberston, J. & Cunningham, L. L. (Eds.), Microcomputers and education: 85th yearbook of the National Society for the Study of Education. Chicago: University of Chicago Press.Google Scholar
Hawkins, J., Sheingold, K., Gearhart, M., & Berger, C. (1982). Microcomputers in schools: Impact on the social life of elementary classrooms. Journal of Applied Developmental Psychology, 3, 361–373.CrossRefGoogle Scholar
Holden, C. (1984). GAO dismisses Bank Street protest. Science, 224(4656), 1413.CrossRefGoogle ScholarPubMed
Kolodner, J. L. (1991). The Journal of the Learning Sciences: Effecting changes in education. Journal of the Learning Sciences, 1(1), 1–6.CrossRefGoogle Scholar
Kurland, D. M., & Kurland, L. C. (1987). Computer applications in education: A historical overview. Annual Review of Computer Science, 2(1), 317–358.CrossRefGoogle Scholar
Lepper, M. R. (1985). Microcomputers in education: Motivational and social issues. American Psychologist, 40, 1–18.CrossRefGoogle Scholar
Linn, M. C. (1987). Establishing a research base for science education: Challenges, trends, and recommendations. Journal of Research in Science Teaching, 24(3), 191–216.CrossRefGoogle Scholar
Lumsdaine, A. A., & Glaser, R. (Eds.). (1960). Teaching machines and programmed learning: A source book. Washington, DC: National Education Association.Google Scholar
McGilly, K. (1994). Classroom lessons: Integrating cognitive theory and classroom practice. Cambridge, MA: MIT Press.Google Scholar
Nasir, N. I. S., Rosebery, A. S., Warren, B., & Lee, C. D. (2006). Learning as a cultural process: Achieving equity through diversity. In Sawyer, K., (Ed.), The Cambridge handbook of the learning sciences (pp. 489–504). New York: Cambridge University Press.Google Scholar
Nathan, M. J. & Sawyer, R. K. (2014). Foundations of learning sciences. In Sawyer, R. K. (Ed.), The Cambridge handbook of the learning sciences, 2nd ed.New York: Cambridge University Press.Google Scholar
Newman, D., Goldman, S. V., Brienne, D., Jackson, I., & Magzamen, S. (1989). Computer mediation of collaborative science investigations. Journal of Educational Computing Research, 5(2), 151–166.CrossRefGoogle Scholar
Norman, C. (1984, January 27). School technology contract stirs dispute: A $7.6-million contract to Harvard has been contested by Bank Street College, whose proposal was $3 million cheaper yet was rated superior. Science, 223, 378–379.CrossRefGoogle ScholarPubMed
Norris, W. C. (1977, Feb.). Via technology to a new era in education. The Phi Delta Kappan, 58(6), Technology and Education, 451–453.Google Scholar
OTA: Congress of the United States, Office of Technology Assessment. (1988, September). Power on! New tools for teaching and learning, OTA-SET-379. Washington, DC: US Government Printing Office. Retrieved from: ota-cdn.fas.org/reports/8831.pdf
Pake, G. E., Brown, J. S., & Greeno, J. G. (1987, January). IRL and the case for learning research. Palo Alto, CA: Institute for Research on Learning.Google Scholar
Papert, S. (1972). Teaching children to be mathematicians vs. teaching about mathematics. International Journal of Mathematical Education in Science and Technology, 3(3), 249–262.Google Scholar
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.Google Scholar
Papert, S. (1984). New theories for new learnings. School Psychology Review, 13(4), 422–428.Google Scholar
Pea, R. D. (1988). Concepts and strategies for ‘distributed intelligence’ in learning-reasoning processes. Paper presented at the 1st Annual Cognition and Education Workshop, BBN, Cambridge, MA, March 10–12, 1988.
Pea, R. D. (1991, July). Learning through multimedia. IEEE Computer Graphics and Applications, 11(4), 58–66.CrossRefGoogle Scholar
Pea, R. D. (1992). Augmenting the discourse of learning with computer-based learning environments. In de Corte, E., Linn, M., & Verschaffel, L. (Eds.), Computer-based learning environments and problem-solving (NATO Series, subseries F: Computer and System Sciences) (pp. 313–343) New York: Springer-Verlag.Google Scholar
Pea, R. D. (1988/1993). Practices of distributed intelligence and designs for education. In Salomon, G. (Ed.), Distributed cognitions (pp. 47–87). New York: Cambridge University Press.Google Scholar
Pea, R. D. (1993). Learning scientific concepts through material and social activities: Conversational analysis meets conceptual change. Educational Psychologist, 28(3), 265–277.CrossRefGoogle Scholar
Pea, R. D. (1994). Seeing what we build together: Distributed multimedia learning environments for transformative communications. Journal of the Learning Sciences, 3(3), 285–299. Reprinted In T. D. Koschmann (Ed.). (1996). CSCL: Theory and practice of an emerging paradigm (pp. 171–186). Hillsdale, NJ: Lawrence Erlbaum.CrossRefGoogle Scholar
Pea, R. D. (2012, August 3). The social turn in the learning sciences. Paper presented for the Invited Presidential Panel on the Learning Sciences. Cognitive Sciences Society, Sapporo, Japan.
Pea, R. D., Boyle, E., & de Vogel, R. (1990). Design spaces for multimedia composing tools. In Bowen, B. (Ed.), Designing for learning (pp. 37–42). Cupertino, CA: Apple Computer Press.Google Scholar
Pea, R. D., & Sheingold, K. S. (1987). (Eds.). Mirrors of minds: Patterns of experience in educational computing. (Computers and Cognition Series, John Black, Editor). Norwood, NJ: Ablex.Google Scholar
Pea, R. D. & Soloway, E. (1987, December). Mechanisms for facilitating a vital and dynamic education system: Fundamental roles for education, science, and technology. United States Congressional Office of Technology Assessment, Contractors Report. 145 pp. New Haven, CT: Cognitive Systems Inc. (US Department of Commerce, NTIS order number PB 88-194 634/AS).
Pea, R. D., & Soloway, E. (1988, June). The state of the art in educational technology R&D: Policy issues and opportunities. Proceedings of the International Conference on Intelligent Tutoring Systems: ITS-88 (pp. 16–17). University of Montreal, Montreal, Canada.Google Scholar
Reiner, M., Pea, R. D., & Shulman, D. (1995). The impact of simulator-based instruction on the diagramming of the interaction of light and matter by introductory physics students. Journal of Science Education and Technology, 4(3), 199–226.CrossRefGoogle Scholar
Reiser, R. A. (2001). A history of instructional design and technology: Part I: A history of instructional media. Educational Technology Research and Development, 49(1), 53–64.Google Scholar
Resnick, L. B. (1987a). (Ed.). Education and learning to think. Washington, DC: National Academies Press.Google Scholar
Resnick, L. B. (1987b). The 1987 Presidential Address: Learning in school and out. Educational Researcher, 16(9), 13–20+54.Google Scholar
Rogoff, B., & Lave, J. (Eds.). (1984). Everyday cognition: Its development in social context. Cambridge, MA: Harvard University Press.Google Scholar
Roschelle, J., Pea, R. D., & Sipusic, M. (1989, April). Design of a tool for video analysis. Paper presented at the meetings of the Association for Computing Machinery, Special Interest Group on Computer–Human Interaction Workshop on Video as a Research and Design Tool, Cambridge, MA.
Roschelle, J., & Trigg, R. (1990). VideoNoter: A tool for exploratory video analysis. Technical Report No. 17. Palo Alto, CA: Institute for Research on Learning.Google Scholar
Shute, V. J., & Psotka, J. (1994). Intelligent tutoring systems: Past, present, and future (No. AL/HR-TP-1994-0005). Armstrong Lab, Brooks AFB, TX, Human Resources Directorate. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/a280011.pdfCrossRef
Skinner, B. F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24, 86–97.Google Scholar
Skinner, B. F. (1958). Teaching machines. Science, 128, 969–977.CrossRefGoogle ScholarPubMed
Sleeman, D., & Brown, J. S. (Eds.). (1982). Intelligent tutoring systems. London: Academic Press.Google Scholar
Suppes, P., & Macken, E. (1978). The historical path from research and development to operational use of CAI. Educational Technology, 18(4), 9–12.Google Scholar
Swets, J. A. (1964). Some possible uses of a small computer as a teaching machine, Insert in Feurzeig, W. Conversational Teaching Machine, Datamation, 10(6), 38–42.Google Scholar
Swets, J. A. (2005, April–June). The ABC's of BBN: From acoustics to behavioral sciences to computers, IEEE Annals of the History of Computing, 27(2), 15–29.CrossRefGoogle Scholar
Swets, J. A., & Feurzeig, W. (1965). Computer-aided instruction, Science, 150 (3696), 572–576.CrossRefGoogle ScholarPubMed

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