Abstract
An important hypothesis underlying expert-novice differences is that superior performance is mediated by the use of better strategies (Adelson, 1984; Britton & Glynn, 1987; Pressley, 1986; Pressley, Borkowski, & Schneider, 1987). For example, novices use surface features of concepts to establish relationships (e.g., a square and a rectangle are similar because they have four sides); experts use their executive control system in search of deep-structure principles (e.g., Chi, Feltovich, & Glaser, 1981; Larkin, McDermott, Simon, & Simon, 1980) to formulate relational links among concepts (e.g., a square is viewed as a special case of a rectangle whereby length equals width). A salient hypothesis generated from such observations is that training in the efficient use of strategies demonstrated by expert levels can improve the performance of novices (e.g., Greeno, 1978a, 1978b; Mayer, 1987; Shavelson, 1981; Voss, 1986).
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References
Adelson, B. (1984). When novices surpass experts: The difficulty of a task may increase with expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 483–495.
Anderson, J.R. (1982). Acquisition of cognitive skill. Psychological Review,89, 369–406.
Anderson, J.R., Greeno, J., Kline, P., & Neves, D. (1981). Acquisition of problem-solving skill. In J.R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 191–230). Hillsdale, NJ: Erlbaum & Associates.
Anderson, R.C. (1977). The notion of schemata and the educational enterprise. In R.C. Anderson, R.J. Spiro, and W.E. Montague (Eds.), Schooling and the acquisition of knowledge (pp. 415–431). Hillsdale, NJ: Erlbaum & Associates.
Bartlett, F.C. (1932). Remembering. New York: Cambridge University Press.
Britton, B.K., & Glynn, S.M. (1987). Executive control processes in reading. Hillsdale, NJ: Erlbaum & Associates.
Brown, A.L. (1985). Metacognition: The development of selective attention strategies for learning from texts. In H. Singer & R.B. Ruddell (Eds.), Theoretical models and processes of reading,3rd ed. (pp. 501–526). Newark, DE: International Reading Association.
Burton, L. (1984). Mathematical thinking: The struggle for meaning. Journal for Research in Mathematics Education, 15, 35–49.
Case, R. (1985). Intellectual development. Orlando, FL: Academic Press.
Champagne, A.B., Gunstone, R.E., & Klopfer, L.E. (1985). Instructional consequences of students’ knowledge about physical phenomena. In L.H.T. West and A.L. Pines (Eds.), Cognitive structure and conceptual change (pp. 61–90). Orlando, FL: Academic Press.
Charles, R.I., & Lester, F.K. Jr. (1984). An evaluation of a process-oriented instructional program in mathematical problem solving in grades 5 and 7. Journal for Research in Mathematics Education, 15, 15–34.
Chase, W.G., & Simon, H.A. (1973). Perception in chess. Cognitive Psychology, 1, 55–81.
Chi, M.T., Feltovich, P.J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.
Chiesi, H.L., Spilich, G.J., & Voss, J.F. (1979). Acquisition of domain-related information in relation to high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior,18, 257–274.
de Groot, A.D. (1965). Thought and choice in chess. The Hague, Holland: Mouton Press.
Derry, S.J., Hawkes, L.W., & Tsai, C. (1987). A theory of remediating problem-solving skills of older children and adults. Educational Psychologist, 22, 55–87.
van Dijk, T.A., & Kintsch, W. (1983). Strategies of discourse processing. New York: Academic Press.
diSessa, A.A. (1982). Unlearning Aristotelian, physics: A study of knowledge-based learning. Cognitive Science, 6, 37–75.
Dreyfus, S.E., & Dreyfus, H.L. (1986). Mind over machine. New York: The Fress Press, pp. 16–51.
Dyer, F.N. (1973). The stroop phenomenon and its use in the study of perceptual, cognitive, and response processes. Memory and Cognition, 2, 106–120.
Fisk, A.D., & Gallini, J. (1987). Training consistent components of tasks: Developing an instructional system based on automatic/controlled processing principles. (Technical Report No. 8701). Dayton, OH: Air Force Human Resource Laboratory, Wright Patterson Base.
Frederiksen, J.R., Warren, B.M., & Rosebery, A.S. (1985). A componential approach to training reading skills, Part I. Perceptual units in training. Cognition and Instruction,2, 91–130.
Gagné, R.M. (1977). The conditions of learning. New York: Holt, Rinehart & Winston, Inc.
Gagné, R.M. (1982). Developments in learning psychology. Educational Technology, 22, 11–15.
Gagné, R.M. (1983). Some issues in the psychology of mathematics instruction. Journal for Research in Mathematics Education, 14,7–18.
Gagné, R.M., & Briggs, L.J. (1979). Principles of instructional design,2nd ed. New York: Holt, Rinehart and Winston.
Gallini, J.K., & Fisk, A.D. (April 1987). An investigation of an instructional design approach to expert learning: Integration of attention and instructional design theories. Paper presented at the annual meeting of the American Educational Research Association, Washington DC.
Gick, M.L. (1986). Problem-solving strategies. Educational Psychologist, 21, 99–120.
Greeno, J.G. (1976). Cognitive objectives of instruction: Theory of knowledge for solving problems and answering questions. In D. Klahr (Ed.), Cognition and instruction pp. 123–159. Hillsdale, NJ: Erlbaum & Associates.
Greeno, J.G. (1978a). A study of problem solving. In R. Glaser (Ed.), Advances in instructional psychology, Vol. 1 (pp. 13–75). Hillsdale, NJ: Erlbuam & Associates.
Greeno, J.G. (1978b). Understanding and procedural knowledge in mathematics instruction. Educational Psychologist, 12, 262–283.
Greeno, J.G. (1980). Some examples of cognitive task analysis with instructional implications. In R. Glaser (Ed.), Advances in instructional psychology,Vol. 3 (pp. 1–21). Hillsdale, NJ: Erlbaum & Associates.
Greeno, J.G. (1983). Understanding in mathematical problem solving. In S.C. Paris, G.M. Olson, & H.W. Stevenson (Eds.), Learning and motivation in the classroom (pp. 83–111). Hillsdale, NJ: Erlbaum & Associates.
Hayes, J.R., & Simon, H.A. (1974). Understanding problem instructions. In L.W. Gregg (Ed.), Knowledge and cognition. Hillsdale, NJ: Erlbaum & Associates.
Hinsley, D.A., Hayes, J.R., & Simon, H.A. (1977). From words to equations. Meaning and representation in algebra word problems. In P.A. Carpenter & M.A. Just (Eds.), Cognitive process in comprehension (pp. 89–106). Hillsdale, NJ: Erlbaum & Associates.
James, W. (1890). Principles of psychology, Vol. 1. New York: Holt, Rinehart & Winston, Inc.
Kiewra, K.A., & Benton, S.L. (April 1987). Cognitive aspects of autonomous learning. Paper presented at the annual meeting of the American Educational Research Association, Washington, DC.
Kintsch, W., & van Dijk, T.A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363–394.
Kintsch, W., & Greeno, J.G. (1985). Understanding and solving word arithmetic problems. Psychological Review, 92, 109–129.
Krutetskii, V.A. (1976). The psychology of mathematical abilities in school children. Chicago: University of Chicago Press.
LaBerge, J.D. (1975). Acquisition of automatic processing in perceptual and associative learning. In P.M.A. Rabbit and S. Dornic (Eds.), Attention and performance V. New York: Academic Press.
Landa, L. (1974). Algorithmization in learning and instruction. Englewood Cliffs, NJ: Educational Technology Publications. (Russian ed. 1966; German ed. 1969).
Landa, L. (1983). The algo-heuristic theory of instruction. In C.M. Reigeluth (Ed.), Instructional design theories and models (pp. 163–211. Hillsdale, NJ: Erlbaum & Associates.
Landa, L. (1987). A fragment of a lesson based on the algo-heuristic theory of instruction. In C.M. Reigeluth (Ed.), Instructional theories in action. (pp. 112–159). Hillsdale, NJ: Erlbaum & Associates.
Larkin, J., McDermott, J., Simon, D.P., & Simon, H.A. (1980). Models of competence in solving physics problems. Cognitive Science, 4,317–345.
Lesgold, A.M. (1983). A rationale for computer-based reading instruction. In A.C. Wilkinson (Ed.), Classroom computers and cognitive science (pp. 167–181). New York: Academic Press.
Logan, G.D. (1979). On the use of a concurrent memory load to measure attention and automaticity. Journal of Experimental Psychology: Human Perception and Performance,5, 189–207.
Logan, G.D. (1985). Skill and automaticity: Relations, implications, and future directions. Canadian. Journal of Psychology, 39, 367–386.
Mayer, R.E. (1976). Comprehension as affected by structure of problem representation. Memory and Cognition, 4, 249–255.
Mayer, R.E. (1982). Memory for algebra story problems. Journal of Educational Psychology,74, 199–216.
Mayer, R.E. (1986). Mathematics. In R.E Dillon & R.J. Sternberg (Eds.), Cognition and instruction (pp. 127–154). New York: Academic Press.
Mayer, R.E. (1987). Instructional variables that influence cognitive processes during reading. In B.K. Britton & S.M. Glynn (Eds.), Executive control processes in reading (pp. 201–216). Hillsdale, NJ: Erlbaum & Associates.
Mayes, R.E., Dyck, J.L., & Cook, L. (1984). Techniques that help readers build mental models from scientific text: Definitions pretraining and signaling. Journal of Educational Psychology,76, 1089–1105.
Merrill, M.D. (1983). Component display theory. In C.M. Reigeluth (Ed.), Instructional-design theories and models (pp. 279–333). Hillsdale, NJ: Erlbaum & Associates.
Merrill, P. (1978). Hierarchical and information processing task analysis: A comparison. Journal of Instructional Development, 1,35–40.
Meyer, B.J.F. (1975). The organization of prose and its effects on memory. Amsterdam: North Holland Publishing Co.
Meyer, B.J.F., Brandt, D.M., & Bluth, G.J. (1980). Use of top-level structure intext: Key for reading comprehension of ninth-grade students. Reading Research Quarterly, 1, 72–103.
Minsky, M.A. (1975). A framework for representing knowledge. In P.H. Winston (Ed.), The psychology of computer vision (pp. 211–280). New York: McGraw-Hill.
National Council of Teachers of Mathematics. (1977). Position statement on basic skills. Arithmetic Teacher, 25, 18–22.
Nesher, P. (1986). Learning mathematics: A cognitive perspective. American Psychologist, 41,1114–1122.
Pressley, M. (1986). The relevance of the good strategy user model to the teaching of mathematics. Educational Psychologist, 21,139–161.
Pressley, M., Borkowski, J.G., & Schneider, W. (1987). Cognitive strategies: Good strategy users coordinate metacognition and knowledge. In R. Vasta & G. Whitehurst (Eds.), Annals of child development, Vol. 5 (pp. 89–129). New York: JAI Press.
Pressley, M., Goodchild, E., Fleet, J., Zajchowski, R., & Evans, E.D. (April 1987). What is good strategy use and why is it hard to teach? An optimistic appraisal of the challenges associated with strategy instruction. Paper presented at the annual conference of the American Educational Research Association, Washington, D.C.
Reif, F. (1980). Theoretical and educational concerns with problem solving: Bridging the gaps with human cognitive engineering. In D.T. Tuma & E. Reif (Eds), Problem solving and education: Issues in teaching and research (pp. 39–50). Hillsdale, NJ: Erlbaum & Associates.
Resnick, L.B. (Nov., 1979). Syntax and semantics in learning to subtract. Paper presented at the Wingspread Conference on Number; Racine, WI.
Resnick, L.B., & Ford, WW.(1981). The psychology of mathematics for instruction. Hillsdale, NJ: Erlbaum & Associates.
Riley, M.S., & Greeno, J.G. (May 1978). Importance of semantic structure in the difficulty of arithmetic word problems. Paper presented at the meeting of the Midwestern Psychological Association, Chicago.
Riley, M.S., Greeno, J.G., & Heller, J.I. (1983). Development of children’s problem-solving ability in arithmetic. In H.P. Ginsburg (Ed.), The development of mathematical thinking (pp. 153–196). New York: Academic Press.
Rumelhart, D.E. (1975). Notes on a schema for stories. In D. Bobrow and A. Collins (Eds.), Representation and understanding: Studies in cognitive science (pp. 211–236). New York: Academic Press.
Rumelhart, D.E. (1980). Schemata: The building blocks of cognition. In R.J. Spiro, B.C. Bruce, & W.E. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Erlbaum & Associates.
Rumelhart, D.E., & Ortony, A. (1977). The representation of knowledge in memory. In R.C. Anderson, R.J. Spiro, & W.E. Montague (Eds.), Schooling and the acquisition of knowledge (pp. 99–135.) Hillsdale, NJ: Erlbaum & Associates.
Schank, R., & Abelson, R. (1977) Scripts, plans, goals,and understanding. Hillsdale, NJ: Erlbaum & Associates.
Schneider, W., Dumais, S.T., & Shiffrin, R.M. (1984). Automatic and control processing and attention. In R. Parasuraman, R. Davis, & J. Beathy (Eds.), Varieties of attention. (pp. -27). New York: Academic Press.
Schneider, W., & Fisk, A.D. (1982). Degree of consistent training: Improvements in search performance and automatic process development. Perception and Psychophysics, 31, 160–168.
Schneider, W., & Shiffrin, R.M. (1977) Controlled and automatic human information processes: I. Detection, search, and attention. Psychological Review, 84, 1–66.
Shavelson, R.J. (1972). Some aspects of the correspondence between content structure and cognitive structure in physics instruction. Journal of Educational Psychology,63, 225–234.
Shavelson, R.J. (1981). Teaching of mathematics: Contributions of cognitive research. Educational Psychologist, 16,23–44.
Shiffrin, R.M., & Schneider, W. (1977). Controlled and automatic human information processes: II. Perceptual learning, automatic attending, and a general theory. Psychological Review,84, 127–190.
Silver, E.A. (1979). Recall of mathematical problem information: Solving related problems. Journal for Research in Mathematics Education, 10,195–210.
Silver, E.A. (1982). Problem perception, problem schemata, and problem solving. Journal of Mathematical Behavior,3, 169–181.
Soloway, E., Lochhead, J., & Clement, J. (1982). Does computer programming enhance problem-solving ability? In R. Seidel, R. Anderson, & B. Hunter (Eds.), Computer literacy (pp. 171–185). New York: Academic Press.
Spilich, G.J., Vesonder, G.T., Chiesi, H.L., & Voss, J.F. (1979). Text processing of domain-related information for individuals with high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 18, 275–290.
Stroop, J.R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology,18, 643–662.
Tennyson, R.D., Chao, J.N., & Youngers, J. (1981). Concept learning effectiveness using prototype and skill development presentation forms. Journal of Educational Psychology,73, 326–334.
Tennyson, R.D., & Cocchiarella, M.J. (1986). An empirically based instructional design theory for teaching concepts. Review of Educational Research, 56, 40–71.
Tennyson, R.D., & Merrill, M.D. (1977). Teaching concepts: An instructional design guide. Englewood Cliffs, NJ: Educational Technology Publications.
Vergnaud, G. (1982). A classification of cognitive tasks and operations of thought involved in addition and subtraction problems. In T.P. Carpenter, J.M. Moser, & T. Romberg (Eds.), Addition and subtraction: A cognitive perspective (pp. 36–59). Hillsdale, NJ: Erlbaum & Associates.
Voss, J.F. (1986). Social studies. In R.E. Dillon and R.J. Sternberg (Eds.), Cognition and instruction (pp. 205–239). New York: Academic Press.
Voss, J.F., Tyler, S.W. & Yengo, L.A. (1983). Individual differences in the solving of social science problems. In R.E. Dillon & R.R. Schmeck (Eds.), Individual differences in cognition,Vol. 1 (pp. 205–232). New York: Academic Press.
Willis, G.B., & Fuson, D.C. (1988). Teaching children to use schematic drawings to solve addition and subtraction word problems. Journal of Educational Psychology, 80, 192–201.
Zbrodoff, N.J., & Logan, G.D. (1986). On the autonomy of mental processes: A case study of arithmetic. Journal of Experimental Psychology: General, 115, 118–130.
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Gallini, J.K. (1989). Schema-Based Strategies and Implications for Instructional Design in Strategy Training. In: McCormick, C.B., Miller, G.E., Pressley, M. (eds) Cognitive Strategy Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8838-8_10
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