American Association for the Advancement of Science (AAAS)
. (1984). Equity and excellence: Compatible goals. An assessment of programs that facilitate increased access and achievement of females and minorities in K-12 mathematics and science education. Washington, DC: Office of Opportunities and Science.
2.
Anderson, J. R.
(1990). Cognitive psychology and its implications (3rd ed.). New York: Freeman.
3.
Applebee, A. N.
, Langer, J. A., & Mullis, I.VS. (1989). Crossroads in American education: A summary of findings. Princeton, NJ: Educational Testing Service.
4.
Banks, J. A.
(1988). Ethnicity, class, cognitive, and motivational styles: Research and teaching implications. Journal of Negro Education, 57, 452-466.
5.
Bredo, E.
(1989). Supportive contexts for learning. Harvard Educational Review, 59, 206-212.
6.
Brown, A. L
, Palincsar, A. S., & Purcell, L (1986). Poor readers: Teach, don't label. In U. Neisser (Ed.), The school achievement of minority children: New perspectives (pp. 105-144). Hillsdale, NJ: Lawrence Eribaum.
7.
Center for Social Organization of Schools (CSOS)
. (1983-1984). School uses of microcomputers: Reports from a national survey (Issues 1-6). Baltimore, MD: Johns Hopkins University.
8.
Cole, M.
, & Griffin, P. (Eds.). (1987). Improving science and mathematics education for minorities and women. Madison: University of Wisconsin, Wisconsin Center for Educational Research.
9.
Cuban, L.
(1986). Teachers and machines: The uses of technology since the 1920's. New York: Teachers College Press.
10.
Cuban, L.
(1989). Neoprogressive visions of organizational realities. Harvard Educational Review, 59, 217-222.
11.
Cummins, J.
(1986). Empowering minority students: A framework for intervention. Harvard Educational Review, 56, 18-36.
12.
Goodman, N.
(1976). Languages of art. Indianapolis, IN: Bobbs-Merrill.
13.
Johnson-Laird, P. N.
(1989). Mental models. In M. I. Posner (Ed.), Foundations of cognitive science (pp. 469-499). Cambridge, MA: MIT Press.
14.
Kozma, R. B.
(1991). Learning with media. Review of Educational Research, 61(2), 179-211.
15.
Laboratory of Comparative Human Cognition (LCHC)
. (1989). Kids and computers: A positive vision of the future. Harvard Educational Review, 59, 61-73.
16.
Levin, H. M.
(1988). Accelerating elementary education for disadvantaged students. In Council for Chief State School Officers (Ed.), School success for students at risk: Analysis and recommendations of the Council of Chief State School Officers (pp. 209-226). Orlando, FL: Harcourt Brace Jovanovich.
17.
Levine, D. U.
(1988). Teaching thinking to at-risk students: Generalizations and speculations. In B. Z. Presseisen (Ed.),At-risk students and thinking: Perspectives from research (pp. 117-137). Washington DC: National Education Association.
18.
Levinson, E.
(1990). Will technology transform education or will the schools co-opt technology?Phi Delta Kappan, 72, 121-126.
19.
Mecklenburger, J. A.
(1990). Educational technology is not enough. Phi Delta Kappan, 72, 104-108.
20.
Neisser, U.
(1986). New answers to old questions. In U. Neisser (Ed.), The school achievement of minority children: New perspectives (pp. 1-18). Hillsdale, NJ: Lawrence Erlbaum.
21.
Oakes, J.
(1985). Keeping track: How schools structure inequality. New Haven, Cr: Yale Press.
22.
Ogbu, U.
(1986). The consequences of the American caste system. In U. Neisser (Ed.), The school achievement of minority children: New perspectives (pp. 19-56). Hillsdale, NJ: Lawrence Erlbaum.
23.
Paivio, A.
(1990). Mental representations: A dual coding approach. New York: Oxford University Press.
24.
Pogrow, S.
(1990a). Challenging at-risk students: Findings from the HOTS program. Phi Delta Kappan, 71, 389-397.
25.
Pogrow, S.
(1990b). A Socratic approach to using computers with at-risk students. Educational Leadership, 47, 61-66.
26.
Resnick, L. B.
(1985). Cognition and instruction: Recent theories of human competence and how it is acquired. In B. L Hammond (Ed.), Psychology and learning: The Masser lecture series (pp. 160-183). Washington, DC: American Psychological Association.
27.
Rumelhart, D. E.
, & Norman, D. A. (1981). Accretion, tuning, and restructuring: Three modes of learning. In J. W. Cotton & R. Klatzky (Eds.), Semantic factors in cognition (pp. 37-60). Hillsdale, NJ: Lawrence Erlbaum.
28.
Salomon, G.
(1979). Interaction of media, cognition, and learning. San Francisco: Jossey-Bass.
29.
Salomon, G.
(1988). Al in reverse: Computer tools that turn cognitive. Journal of Educational Computing Research, 4, 123-134.
30.
Salomon, G.
(1990). Studying the flute and the orchestra: Controlled vs. classroom research on computers. International Journal of Educational Research, 14, 521-532.
31.
Salomon, G.
, Perkins, D. N., & Globerson, T. (1991). Partners in cognition: Expanding human intelligence with intelligent technologies. Educational Researcher, 20(3), 2-9.
32.
Sedlak, M. W.
, Wheeler, C. W., Pullin, D. C., & Cusick, P. A. (1986). Selling students short: Classroom bargains and academic reform in the American high school. New York: Teachers College.
33.
Slavin, R. E.
, Karweit, N. L, & Madden, N. A. (1989). Effective programs for students at risk. Needham Heights, MA: Allyn & Bacon.
34.
Stedman, L. C.
(1987). It's time we changed the effective schools formula. Phi Delta Kappan, 69,215-224.
35.
Travers, R.M.W.
(1973). Educational technology and related research viewed as a political force. In R.M.W. Travers (Ed.), Handbook of research on teaching (2nd ed., pp. 979-996). Chicago: Rand McNally.
36.
Van Haneghan, J.
, Barron, L, Williams, S., Vye, N., & Bransford, J. (1992). The Jasper Series: An experiment with new ways to enhance mathematical thinking. In D. Halpern (Ed.), Enhancing thinking skills in the sciences and mathematics (pp. 15-38). Hillsdale, NJ: Lawrence Erlbaum.
37.
Vygotsky, L S.
(1978). Mind in society. Cambridge, MA: Harvard University Press.