Abstract
The interactions between levels of learner prior knowledge and effectiveness of different instructional techniques and procedures have been intensively investigated within a cognitive load framework since mid-90s. This line of research has become known as the expertise reversal effect. Apart from their cognitive load theory-based prediction and explanation, patterns of empirical findings on the effect fit well those in studies of Aptitude Treatment Interactions (ATI) that were originally initiated in mid-60s. This paper reviews recent empirical findings associated with the expertise reversal effect, their interpretation within cognitive load theory, relations to ATI studies, implications for the design of learner-tailored instructional systems, and some recent experimental attempts of implementing these findings into realistic adaptive learning environments.
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Anderson, J. R., Corbett, A. T., Fincham, J. M., Hoffman, D., & Pelletier, R. (1992). General principles for an intelligent tutoring architecture. In V. Shute and W. Regian (Eds.), Cognitive approaches to automated instruction (pp. 81–106). Hillsdale, NJ: Erlbaum.
Baddeley, A. D. (1986). Working memory. New York: Oxford University Press.
Bell, B. S., & Kozlowski, S. W. J. (2002). Adaptive guidance: Enhancing self-regulation, knowledge, and performance in technology-based training. Personnel Psychology, 55, 267–306.
Blessing, S. B., & Anderson, J. R. (1996). How people learn to skip steps. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 576–598.
Boutwell, R., & Barton, G. (1974). Toward an adaptive learner-controlled model of instruction: A place for the new cognitive aptitudes. Educational Technology, 14, 13–18.
Bracht, G. (1970). Experimental factors related to aptitude–treatment interactions. Review of Educational Research, 40, 627–645.
Calisir, F., & Gurel, Z. (2003). Influence of text structure and prior knowledge of the learner on reading comprehension, browsing and perceived control. Computers in Human Behavior, 19, 135–145.
Camp, G., Paas, F., Rikers, R., & van Merriënboer, J. J. G. (2001). Dynamic problem selection in air traffic control training: A comparison between performance, mental effort, and mental efficiency. Computers in Human Behavior, 17, 575–595.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, 293–332.
Chung, J., & Reigeluth, C. M. (1992). Instructional prescriptions for learner control. Educational Technology, 32, 14–20.
Clarke, T., Ayres, P., & Sweller, J. (2005). The impact of sequencing and prior knowledge on learning mathematics through spreadsheet applications. Educational Technology Research and Development, 53, 15–24.
Cooper, G., & Sweller, J. (1987). The effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 79, 347–362.
Cooper, G., Tindall-Ford, S., Chandler, P., & Sweller, J. (2001). Learning by imagining procedures and concepts. Journal of Experimental Psychology Applied, 7, 68–82.
Corbalan, G., Kester, L., & van Merriënboer, J. J. G. (2006). Towards a personalized task selection model with shared instructional control. Instructional Science, 34, 399–422.
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87–114.
Cronbach, L. (1967). How can instruction be adapted to individual differences. In R. Gagne (Ed.), Learning and individual differences (pp. 23–39). Columbus, OH: Merrill.
Cronbach, L., & Snow, R. (1969). Individual differences in learning ability as a function of instructional variables (Final Report). Stanford, CA: School of Education, Stanford University.
Cronbach, L., & Snow, R. (1977). Aptitudes and instructional methods: A handbook for research on interactions. New York: Irvington.
De Bra, P., & Calvi, L. (1998). AHA! An open Adaptive Hypermedia Architecture. New Review of Hypermedia and Multimedia, 4, 115–139.
DeStefano, D., & LeFevre, J-A. (2007). Cognitive load in hypertext reading: A review. Computers in Human Behavior, 23, 1616–1641.
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.
Ericsson, K. A., Krampe, R. T., & Tesch-Romer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.
Eysenck, (1982). Attention and arousal: Cognition and performance. Berlin: Springer-Verlag.
Federico, P-A. (1980). Adaptive instruction: Trends and issues. In R. Snow, P-A. Federico and W. Montague (Eds.), Aptitude, learning, and instruction: Vol. 1, Cognitive process analyses of aptitude (pp. 1–26). Hillsdale, NJ: Erlbaum.
Federico, P-A. (1999). Hypermedia environments and adaptive instruction. Computers in Human Behavior, 15, 653–692.
Ginns, P., Chandler, P., & Sweller, J. (2003). When imagining information is effective. Contemporary Educational Psychology, 28, 229–251.
Glaser, R. (1977). Adaptive instruction: Individual diversity and learning. New York: Holt, Rinehart, and Winston.
Kalyuga, S. (2005). Prior knowledge principle. In R. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 325–337). New York: Cambridge University Press.
Kalyuga, S. (2006a). Assessment of learners’ organized knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20, 333–342.
Kalyuga, S. (2006b). Instructing and testing advanced learners: A cognitive load approach. New York: Nova Science.
Kalyuga, S. (2006c). Rapid assessment of learners’ proficiency: A cognitive load approach. Educational Psychology, 26, 613–627.
Kalyuga, S. (2006d). Rapid cognitive assessment of learners’ knowledge structures. Learning and Instruction, 16, 1–11.
Kalyuga, S. (2007). When less is more in cognitive diagnosis: A rapid assessment method for adaptive learning environments. Journal of Educational Psychology, (in press).
Kalyuga, S. (2007). Relative effectiveness of animated and static diagrams: An effect of learner prior knowledge. Computers in Human Behavior, 23.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). Expertise reversal effect. Educational Psychologist, 38, 23–31.
Kalyuga, S., Chandler, P., & Sweller, J. (1998). Levels of expertise and instructional design. Human Factors, 40, 1–17.
Kalyuga, S., Chandler, P., & Sweller, J. (2000). Incorporating learner experience into the design of multimedia instruction. Journal of Educational Psychology, 92, 126–136.
Kalyuga, S., Chandler, P., & Sweller, J. (2001a). Learner experience and efficiency of instructional guidance. Educational Psychology, 21, 5–23.
Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001b). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93, 579–588.
Kalyuga, S., & Sweller, J. (2004). Measuring knowledge to optimize cognitive load factors during instruction. Journal of Educational Psychology, 96, 558–568.
Kalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development, 53, 83–93.
Kotovsky, K., Hayes, J. R., & Simon, H. A. (1985). Why are some problem hard? Evidence from Tower of Hanoi. Cognitive Psychology, 17, 248–294.
Kozlowski, S. W. J., Toney, R. J., Mullins, M. E., Weissbein, D. A., Brown, K. G., & Bell, B. S. (2001). Developing adaptability: A theory for the design of integrated-embedded training systems. In E. Salas (Ed.), Advances in human performance and cognitive engineering research (Vol. 1) (pp. 59–123). Amsterdam: Elsevier Science.
Lambiotte, J. G., & Dansereau, D. F. (1992). Effects of knowledge maps and prior knowledge on recall of science lecture content. Journal of Experimental Education, 60, 189–201.
Leahy, W., & Sweller, J. (2005). Interactions among the imagination, expertise reversal, and element interactivity effects. Journal of Experimental Psychology Applied, 11, 266–276.
Lee, H., Plass, J. L., & Homer, B. D. (2006). Optimizing cognitive load for learning from computer-based science simulations. Journal of Educational Psychology, 98, 902–913.
Leutner, D. (1993). Guided discovery learning with computer based simulation games: Effects of adaptive and non adaptive instructional support. Learning and Instruction, 3, 113–132.
Lohman, D. F. (1986). Predicting mathemathanic effects in the teaching of higher-order thinking skills. Educational Psychologist, 21, 191–208.
Mayer, R. E. (1989). Models for understanding. Review of Educational Research, 59, 43–64.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32, 1–19.
Mayer, R. E. (2001). Multimedia learning. Cambridge, MA: Cambridge University Press.
Mayer, R., & Gallini, J. (1990). When is an illustration worth ten thousand words? Journal of Educational Psychology, 82, 715–726.
Mayer, R., Heiser, J., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93, 187–198.
Mayer, R. E., Steinhoff, K., Bower, G., & Mars, R. (1995). A generative theory of textbook design: Using annotated illustrations to foster meaningful learning of science text. Educational Technology Research and Development, 43, 31–43.
Mayer, R., Stiehl, C., & Greeno, J. (1975). Acquisition of understanding and skill in relation to subjects’ preparation and meaningfulness of instruction. Journal of Educational Psychology, 67, 331–350.
McNamara, D., Kintsch, E., Songer, N. B., & Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognition and Instruction, 14, 1–43.
Merrill, M. D. (1975). Learner control: Beyond aptitude–treatment interactions. AV Communication Review, 23(2), 217–226.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87, 319–334.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
Niemec, P., Sikorski, C., & Walberg, H. (1996). Learner-control effects: A review of reviews and a meta-analysis. Journal of Educational Computing Research, 15, 157–174.
Ollerenshaw, A., Aidman, E., & Kidd, G. (1997). Is an illustration always worth ten thousand words? Effects of prior knowledge, learning style, and multimedia illustrations on text comprehension. International Journal of Instructional Media, 24, 227–238.
Paas, F., Tuovinen, J., Tabbers, H., & van Gerven, P. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38, 63–71.
Paas, F., Tuovinen, J. E., van Merrienboer, J. J. G., & Darabi, A. A. (2005). A motivational perspective on the relation between mental effort and performance. Educational Technology Research and Development, 53, 25–34.
Paas, F., & van Merriënboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental-effort and performance measures. Human Factors, 35, 737–743.
Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61–86.
Potelle, H., & Rouet, J. F. (2003). Effects of content representation and readers’ prior knowledge on the comprehension of hypertext. International Journal of Human-Computer Studies, 58, 327–345.
Reisslein, J. (2005). Learner achievement and attitudes under varying paces of transitioning to independent problem solving. Doctoral dissertation, Arizona State University.
Reisslein, J., Atkinson, R. K., Seeling, P., & Reisslein, M. (2006). Encountering the expertise reversal effect with a computer-based environment on electrical circuit analysis. Learning and Instruction, 16, 92–103.
Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21, 1–29.
Renkl, A., & Atkinson, R. K. (2003). Structuring the transition from example study to problem solving in cognitive skills acquisition: A cognitive load perspective. Educational Psychologist, 38, 15–22.
Renkl, A., Atkinson, R. K., Maier, U. H., & Staley, R. (2002). From example study to problem solving: Smooth transitions help learning. Journal of Experimental Education, 70, 293–315.
Robinson, D. H., & Molina, E. (2002). The relative involvement of visual and auditory working memory when studying adjunct displays. Contemporary Educational Psychology, 27, 118–131.
Salden, R. J. C. M., Paas, F., Broers, N. J., & van Merriënboer, J. J. G. (2004). Mental effort and performance as determinants for the dynamic selection of learning tasks in air traffic control training. Instructional Science, 32, 153–172.
Salden, R. J. C. M., Paas, F., & van Merriënboer, J. J. G. (2006). Personalized adaptive task selection in air traffic control: Effects on training efficiency and transfer. Learning and Instruction, 16, 350–362.
Schnotz, W., & Rasch, T. (2005). Enabling, facilitating, and inhibiting effects of animations in multimedia learning: Why reduction of cognitive load can have negative results on learning. Educational Technology Research and Development, 53, 47–58.
Seufert, T. (2003). Supporting coherence formation in learning from multiple representations. Learning and Instruction, 13, 227–237.
Seufert, T., & Brünken, R. (2006). Cognitive load and the format of instructional aids for coherence formation. Applied Cognitive Psychology, 20, 321–331.
Shapiro, A. M. (1999). The relationship between prior knowledge and interactive overviews during hypermedia-aided learning. Journal of Educational Computing Research, 20, 143–167.
Shiffrin, R., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychological Review, 84, 127–190.
Shin, E. C., Schallert, D. L., & Savenye, W. C. (1994). Effects of learner control, advisement, and prior knowledge on young students’ learning in a hypertext environment. Educational Technology Research and Development, 42, 33–46.
Shute, V. J., & Gluck, K. A. (1996). Individual differences in patterns of spontaneous online tool use. Journal of Learning Sciences, 5, 329–355.
Simon, H. A. (1967). Motivational and emotional controls of cognition. Psychological Review, 74, 29–39.
Snow, R. E. (1989). Aptitude–treatment interaction as a framework for research on individual differences in learning. In P. L. Ackerman, R. J. Sternberg and R. Glaser (Eds.), Learning and individual differences. Advances in theory and research (pp. 13–59). New York: W. H. Freeman.
Snow, R. (1994). Abilities in academic tasks. In R. Sternberg and R. Wagner (Eds.), Mind in context: Interactionist perspectives on human intelligence (pp. 3–37). Cambridge, MA: Cambridge University Press.
Snow, R., & Lohman, D. (1984). Toward a theory of cognitive aptitude for learning from instruction. Journal of Educational Psychology, 76, 347–376.
Steinberg, E. R. (1977). Review of student control in computer-assisted instruction. Journal of Computer-Based Instruction, 3, 84–90.
Steinberg, E. R. (1989). Cognition and learner control: A literature review, 1977–1988. Journal of Computer-Based Instruction, 16, 117–121.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
Sweller, J. (2003). Evolution of human cognitive architecture. In B. Ross (Ed.), The psychology of learning and motivation, Vol. 43 (pp. 215–266). San Diego, CA: Academic Press.
Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science, 32, 9–31.
Sweller, J. (2007). Evolutionary biology and educational psychology. In J. S. Carlson, & J. R. Levin (Eds.), Psychological perspectives on contemporary educational issues. Greenwich, CT: Information Age Publishing (in press).
Sweller, J., Chandler, P., Tierney, P., & Cooper, M. (1990). Cognitive load and selective attention as factors in the structuring of technical material. Journal of Experimental Psychology General, 119, 176–192.
Sweller, J., Mawer, R., & Ward, M. (1983). Development of expertise in mathematical problem solving. Journal of Experimental Psychology General, 12, 639–661.
Sweller, J., van Merrienboer, J., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
Tarmizi, R., & Sweller, J. (1988). Guidance during mathematical problem solving. Journal of Educational Psychology, 80, 424–436.
Tennyson, R. (1975). Adaptive instructional models for concept acquisition. Educational Technology, 15, 7–15.
Tennyson, R. D. (1980). Instructional control strategies and content structure as design variables in concept acquisition using computer-based instruction. Journal of Educational Psychology, 72, 525–532.
Tennyson, R. D. (1981). Use of adaptive information for advisement in learning concepts and rules using computer assisted instruction. American Educational Research Journal, 18, 425–438.
Tennyson, R. D., & Rothen, W. (1979). Management of computer-based instruction: Design of an adaptive control strategy. Journal of Computer-Based Instruction, 5, 126–134.
Tindall-Ford, S., Chandler, P., & Sweller, J. (1997). When two sensory modes are better than one. Journal of Experimental Psychology Applied, 3(4), 257–287.
Tobias, S. (1976). Achievement treatment interactions. Review of Educational Research, 46, 61–74.
Tobias, S. (1987). Mandatory text review and interaction with student characteristics. Journal of Educational Psychology, 79, 154–161.
Tobias, S. (1988). Teaching strategic text review by computer and interaction with student characteristics. Computers in Human Behavior, 4, 299–310.
Tobias, S. (1989). Another look at research on the adaptation of instruction to student characteristics. Educational Psychologist, 24, 213–227.
Tuovinen, J., & Sweller, J. (1999). A comparison of cognitive load associated with discovery learning and worked examples. Journal of Educational Psychology, 91, 334–341.
VanLehn, K., Graesser, A. C., Jackson, G. T., Jordan, P., Olney, A., & Rose, C. P. (2007). When are tutorial dialogues more effective than reading? Cognitive Science, 31, 3–62.
Van Merriënboer, J. J. G. (1990). Strategies for programming instruction in high school: Program completion vs. program generation. Journal of Educational Computing Research, 6, 265–287.
Van Merrienboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learners mind: Instructional design principles for complex learning. Educational Psychologist, 38, 5–13.
Van Merrienboer, J. J. G., & Paas, F. G. W. C. (1989). Automation and schema acquisition in learning elementary computer programming: Implications for the design of practice. Computers in Human Behavior, 6, 273–289.
Van Merriënboer, J. J. G., Sluijsmans, D., Corbalan, G., Kalyuga, S., Paas, F., & Tattersall, C. (2006). Performance assessment and learning task selection in environments for complex learning. In D. Clark and J. Elen (Eds.), Advances in Learning and Instruction (pp. 201–220). Amsterdam: Elsevier Science.
Van Merriënboer, J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17, 147–177.
Yeung, A. S. (1999). Cognitive load and learner expertise: Split attention and redundancy effects in reading comprehension tasks with vocabulary definitions. Journal of Experimental Education, 67, 197–221.
Yeung, A. S., Jin, P., & Sweller, J. (1998). Cognitive load and learner expertise: Split attention and redundancy effects in reading with explanatory notes. Contemporary Educational Psychology, 23, 1–21.
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Kalyuga, S. Expertise Reversal Effect and Its Implications for Learner-Tailored Instruction. Educ Psychol Rev 19, 509–539 (2007). https://doi.org/10.1007/s10648-007-9054-3
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DOI: https://doi.org/10.1007/s10648-007-9054-3