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Cognitive Architecture and Instructional Design

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Abstract

Cognitive load theory has been designed to provide guidelines intended to assist in the presentation of information in a manner that encourages learner activities that optimize intellectual performance. The theory assumes a limited capacity working memory that includes partially independent subcomponents to deal with auditory/verbal material and visual/2- or 3-dimensional information as well as an effectively unlimited long-term memory, holding schemas that vary in their degree of automation. These structures and functions of human cognitive architecture have been used to design a variety of novel instructional procedures based on the assumption that working memory load should be reduced and schema construction encouraged. This paper reviews the theory and the instructional designs generated by it.

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REFERENCE

  • Aasman, J., Mulder, G., and Mulder, L. J. M. (1987). Operator effort and the measurement of heart-rate variability. Human Fact. 29: 161–170.

    Google Scholar 

  • Anderson, J. R., Boyle, C. F., Corbell, A., and Lewis, M. (1990). Cognitive modelling and intelligent tutoring. Artif. Intell. 42: 7–49.

    Google Scholar 

  • Ayres, P. (1993). Why goal-free problems can facilitate learning. Contemp. Educ. Psychol. 18: 376–381.

    Google Scholar 

  • Baddeley, A. (1992). Working memory. Science 255: 556–559.

    Google Scholar 

  • Barfield, W. (1986). Expert-novice differences for software: Implications for problem solving and knowledge acquisition. Behav. Inform. Technol. 5: 15–29.

    Google Scholar 

  • Bobis, J., Sweller, J., and Cooper, M. (1993). Cognitive load effects in a primary school geometry task. Learn. Instruct. 3: 1–21.

    Google Scholar 

  • Bobis, J., Sweller, J., and Cooper, M. (1994). Demands imposed on primary-school students by geometric models. Contemp. Educ. Psychol. 19: 108–117.

    Google Scholar 

  • Borg, G. (1978). Subjective aspects of physical work. Ergonomics 21: 215–220.

    Google Scholar 

  • Bratfisch, O., Borg, G., and Dornic, S. (1972). Perceived Item-Difficulty in Three Tests of Intellectual Performance Capacity. Report No. 29, Institute of Applied Psychology, Stockholm, Sweden.

    Google Scholar 

  • Carroll, J. M. (1990). The Nurnberg Funnel: Designing Minimalist Instruction for Practical Computer Skill, MIT Press, Cambridge, MA.

    Google Scholar 

  • Carroll, W. (1994). Using worked examples as an instructional support in the algebra classroom. J. Educ. Psychol. 86: 360–367.

    Google Scholar 

  • Cerpa, N., Chandler, P., and Sweller, J. (1996). Some conditions under which integrated computer-based training software can facilitate learning. J. Educ. Comput. Res. 15: 345–367.

    Google Scholar 

  • Chandler, P., and Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognit. Instr. 8: 293–332.

    Google Scholar 

  • Chandler, P., and Sweller, J. (1992). The split-attention effect as a factor in the design of instruction. Brit. J. Educ. Psychol. 62: 233–246.

    Google Scholar 

  • Chandler, P., and Sweller, J. (1996). Cognitive load while learning to use a computer program. Appl. Cognit. Psychol. 10: 151–170.

    Google Scholar 

  • Chase, W. G., and Simon, H. A. (1973). Perception in chess. Cognit. Psychol. 4: 55–81.

    Google Scholar 

  • Chi, M., Bassok, M., Lewis, M., Reimann, P., and Glaser, R. (1989). Self-explanations: How students study and use examples in problem solving. Cognit. Sci. 13: 145–182.

    Google Scholar 

  • Chi, M., Glaser, R., and Rees, E. (1982). Expertise in problem solving. In Sternberg, R. (ed.), Advances in the Psychology of Human Intelligence, Erlbaum, Hillsdale, NJ, pp. 7–75.

    Google Scholar 

  • Cooper, G., and Sweller, J. (1987). The effects of schema acquisition and rule automation on mathematical problem-solving transfer. J. Educ. Psychol. 79: 347–362.

    Google Scholar 

  • Cormier, S. M. and Hagman, J. D. (eds.) (1987). Transfer of learning: Contemporary research and applications, Academic Press, San Diego, CA.

    Google Scholar 

  • De Groot, A. D. (1966). Perception and memory versus thought: Some old ideas and recent findings. In Kleinmuntz, B. (ed.), Problem Solving, Wiley, New York.

    Google Scholar 

  • Egan, D. E., and Schwartz, B. J. (1979). Chunking in recall of symbolic drawings. Mem. Cognit. 7: 149–158.

    Google Scholar 

  • Ericsson, K. A., and Charness, N. (1994). Expert performance: Its structure and acquisition. Am. Psychol. 49: 725–747.

    Google Scholar 

  • Gopher, D., and Braune, R. (1984). On the psychophysics of workload: Why bother with subjective measures? Human Fact. 26: 519–532.

    Google Scholar 

  • Hendy, C. H., Hamilton, K. M., and Landry, L. N. (1993). Measuring subjective workload: When is one scale better than many? Human Fact. 35: 579–601.

    Google Scholar 

  • Jeffries, R., Turner, A., Polson, P., and Atwood, M. (1981). Processes involved in designing software. In Anderson, J. R. (ed.), Cognitive Skills and Their Acquisition, Erlbaum, Hillsdale, NJ, pp. 255–283.

    Google Scholar 

  • Jelsma, O., and Bijlstra, J. P. (1988). Training for Transfer in Learning to Detect, Diagnose, and Compensate System Failures. Proceedings of the Seventh European Annual Conference on Human Decision Making and Manual Control, Paris, France, pp. 256–262.

  • Jelsma, O., and Bijlstra, J. P. (1990). PROCESS: Program for research on operator control in an experimental simulated setting. IEEE Trans. Syst. Man, Cybernet. 20: 1221–1228.

    Google Scholar 

  • Jelsma, O., and van Merrienboer, J. J. G. (1989). Contextual interference: Interactions with reflection-impulsivity. Percept. Motor Skills 68: 1055–1064.

    Google Scholar 

  • Jelsma, O., van Merrienboer, J. J. G. and Bijlstra, J. P. (1990). The ADAPT design model: Towards instructional control of transfer. Instr. Sci. 19: 89–120.

    Google Scholar 

  • Kalyuga, S., Chandler, P., and Sweller, J. (1998). Levels of expertise and instructional design. Human Fact. 40: 1–17.

    Google Scholar 

  • Kotovsky, K., Hayes, J. R., and Simon, H. A. (1985). Why are some problems hard? Evidence from Tower of Hanoi. Cognit. Psychol. 17: 248–294.

    Google Scholar 

  • Lazonder, A. W., and Van der Meij, H. (1993). The minimal manual: Is less really more? Int. J. Man Machine Stud. 39: 729–752.

    Google Scholar 

  • LeFevre, J., and Dixon, P. (1986). Do written instructions need examples? Cognit. Instr. 3(1): 1–30.

    Google Scholar 

  • Lieberman, H. (1986). An example-based environment for beginning programmers. Instr. Sci. 14: 277–292.

    Google Scholar 

  • Marcus, N., Cooper, M., and Sweller, J. (1996). Understand instructions. J. Educ. Psychol. 88: 49–63.

    Google Scholar 

  • Mayer, R. E., and Anderson, R. B. (1991). Animations need narrations: An experimental test of dual-coding hypothesis. J. Educ. Psychol. 83: 484–490.

    Google Scholar 

  • Mayer, R. E., and Anderson, R. B. (1992). The instructive animation: Helping students build connections between words and pictures in multimedia learning. J. Educ. Psychol. 84: 444–452.

    Google Scholar 

  • Mayer, R., Bove, W., Bryman, A., Mars, R., and Tapangco, L. (1996). When less is more: Meaningful learning from visual and verbal summaries of science textbook lessons. J. Educ. Psychol. 88: 64–73.

    Google Scholar 

  • McNamara, D., Kintsch, E., Songer, N. B., and Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognit. Instr. 14: 1–43.

    Google Scholar 

  • Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychol. Rev. 63: 81–97.

    Google Scholar 

  • Miller, W. (1937). The picture crutch in reading. Elem. Eng. Rev. 14: 263–264.

    Google Scholar 

  • Mousavi, S. Y., Low, R., and Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. J. Educ. Psychol. 87: 319–334.

    Google Scholar 

  • Mulder, L. J. M. (1988). Assessment of Cardiovascular Reactivity by Means of Spectral Analysis. Unpublished doctoral dissertation, University of Groningen, Groningen, The Netherlands.

  • Mwangi, W., and Sweller, J. (in press). Learning to solve compare word problems: The effect of example format and generating self-explanations. Cognit. Instr.

  • Owen, E., and Sweller, J. (1985). What do students learn while solving mathematics problems? J. Educ. Psychol. 77: 272–284.

    Google Scholar 

  • Paas, F. G. W. C. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive load approach. J. Educ. Psychol. 84: 429–434.

    Google Scholar 

  • Paas, F. G. W. C., and van Merrienboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental-effort and performance measures. Human Fact. 35: 737–743.

    Google Scholar 

  • Pass, F. G. W. C., and van Merrienboer, J. J. G. (1994a). Variability of worked examples and transfer of geometrical problem solving skills: A cognitive load approach. J. Educ. Psychol. 86: 122–133.

    Google Scholar 

  • Paas, F. G. W. C., and van Merrienboer, J. J. G. (1994b). Instructional control of cognitive load in the training of complex cognitive tasks. Educ. Psychol. Rev. 6: 351–371.

    Google Scholar 

  • Paas, F. G. W. C., van Merrienboer, J. J. G., and Adam, J. J. (1994). Measurement of cognitive load in instructional research. Percept. Motor Skills 79: 419–430.

    Google Scholar 

  • Penney, C. (1989). Modality effects and the structure of short-term verbal memory. Mem. Cognit. 17: 398–422.

    Google Scholar 

  • Pirolli, P. L. (1991). Effects of examples and their explanations in a lesson on recursion: A production system analysis. Cognit. Instr. 8: 207–259.

    Google Scholar 

  • Pirolli, P. L. and Anderson, J. R. (1985). The role of learning from examples in the acquisition of recursive programming skills. Can. J. Psychol. 3: 240–272.

    Google Scholar 

  • Quilici, J. L., and Mayer, R. E. (1996). Role of examples in how students learn to categorize statistics word problems. J. Educ. Psychol. 88: 144–161.

    Google Scholar 

  • Reder, L., and Anderson, J. R. (1980). A comparison of texts and their summaries: Memorial consequences. J. Verb. Learn. Verb. Behav. 19: 121–134.

    Google Scholar 

  • Reder, L., and Anderson, J. R. (1982). Effects of spacing and embellishment on memory for main points of a text. Mem. Cognit. 10: 97–102.

    Google Scholar 

  • Schneider, W., and Shiffrin, R. (1977). Controlled and automatic human information processing: I. Detection, search and attention. Psychol. Rev. 84: 1–66.

    Google Scholar 

  • Schooler, J., and Engstler-Schooler, L. (1990). Verbal overshadowing of visual memories: Some things are better left unsaid. Cognit. Psychol. 22: 36–71.

    Google Scholar 

  • Segal, J., and Ahmad, K. (1993). The role of examples in the leaching of programming languages. J. Educ. Comput. Res. 9: 115–129.

    Google Scholar 

  • Shiffrin, R., and Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychol. Rev. 84: 127–190.

    Google Scholar 

  • Simon, H., and Gilmartin, K. (1973). A simulation of memory for chess positions. Cognit. Psychol. 5: 29–46.

    Google Scholar 

  • Singley, M. K., and Anderson, J. R. (eds.) (1989). The Transfer of Cognitive Skill, Harvard University Press, Cambridge, MA.

    Google Scholar 

  • Smith, S. M., Ward, T. B., and Schumacher, I. S. (1993). Constraining effects of examples in a creative generation task. Mem. Cognit. 21: 837–845.

    Google Scholar 

  • Solman, R., Singh, N., and Kehoe, E. J. (1992). Pictures block the learning of sightwords. Educ. Psychol. 12: 143–153.

    Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognit. Sci. 12: 257–285.

    Google Scholar 

  • Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learn. Instr. 4: 295–312.

    Google Scholar 

  • Sweller, J., and Chandler, P. (1994). Why some material is difficult to learn. Cognit. Instr. 12: 185–233.

    Google Scholar 

  • Sweller, J., and Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognit. Instr. 2: 59–89.

    Google Scholar 

  • Sweller, J., and Levine, M. (1982). Effects of goal specificity on means-ends analysis and learning. J. Exp. Psychol: Learn., Mem., Cognit. 8: 463–474.

    Google Scholar 

  • Sweller, J., Mawer, R., and Ward, M. (1983). Development of expertise in mathematical problem solving. J. Exp. Psychol. Gen. 112: 634–656.

    Google Scholar 

  • Sweller, J., Chandler, P., Tierney, P., and Cooper, M. (1990). Cognitive load and selective attention as factors in the structuring of technical material. J. Exp. Psychol.: Gen. 119: 176–192.

    Google Scholar 

  • Tarmizi, R., and Sweller, J. (1988). Guidance during mathematical problem solving. J. Educ. Psychol. 80: 424–436.

    Google Scholar 

  • Tindall-Ford, S., Chandler, P., and Sweller, J. (1997). When two sensory modes are better than one. J. Exp. Psychol.: Appl. 3: 257–287.

    Google Scholar 

  • Trafton, J. G., and Reiser, B. J. (1993). The Contribution of Studying Examples and Solving Problems to Skill Acquisition. Proceedings of the 15th Annual Conference of the Cognitive Science Society, Erlbaum, Hillsdale, NJ, pp. 1017–1022.

  • Van Merrienboer, J. J. G. (1990). Strategies for programming instruction in high school: Program completion vs. program generation. J. Educ. Comput. Res. 6: 265–287.

    Google Scholar 

  • Van Merrienboer, J. J. G. (1992). Training strategies for teaching introductory computer programming. In Engel, F. L., Bouwhuis, D. G., Bssser, T., and d'Ydewalle, G. (eds.), Cognitive Modelling and Interactive Environments in Language Learning, Springer Verlag, Berlin, pp. 81–88.

    Google Scholar 

  • Van Merrienboer, J. J. G. (1997). Training Complex Cognitive Skills: A Four-Component Instructional Design Model for Technical Training, Educational Technology Publications, Englewood Cliffs, NJ.

    Google Scholar 

  • Van Merrienboer, J. J. G., and De Croock, M. B. M. (1992). Strategies for computer-based programming instruction: Program completion vs. program generation. J. Educ. Comput. Res. 8: 365–394.

    Google Scholar 

  • Van Merrienboer, J. J. G, de Croock, M. B. M., and Jelsma, O. (1997). The transfer paradox: Effects of contextual interference on retention and transfer performance in learning a complex cognitive skill. Percept. Motor Skills 84: 784–786.

    Google Scholar 

  • Van Merrienboer, J. J. G., and Dijkstra, S. (1997). The four-component instructional design model for training complex cognitive skills. In Tennyson, R. D., and Schott, F. (eds.), Instructional Design: Theory and Research (Vol. 1), Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Van Merrienboer, J. J. G., Jelsma, O., and Paas, F. G. W. C. (1992). Training for reflective expertise: A four-component instructional design model for training complex cognitive skills. Educ. Technol. Res. Devel. 40(2): 23–43.

    Google Scholar 

  • Van Merrienboer, J. J. G., and Krammer, H. P. M. (1987). Instructional strategies and tactics for the design of introductory computer programming courses in high school. Instr. Sci. 16: 251–285.

    Google Scholar 

  • Van Merrienboer, J. J. G., and Krammer, H. P. M. (1990). The “completion strategy” in programming instruction: Theoretical and empirical support. In Dijkstra, S., van Hout-Wolters, B. H. M., and van der Sijde, P. C. (eds.), Research on Instruction, Educational Technology Publications, Englewood Cliffs, NJ, pp. 45–61.

    Google Scholar 

  • Van Merrienboer, J. J. G., Krammer, H. P. M., and Maaswinkel, R. M. (1994). Automating the planning and construction of programming assignments for teaching introductory computer programming. In Tennyson, R. D. (ed.), Automating Instructional Design, Development, and Delivery (NATO ASI Series F, Vol. 119), Springer Verlag, Berlin, pp. 61–77.

    Google Scholar 

  • Van Merrienboer, J. J. G., and Luursema, J. J. (1995). Implementing instructional models in computer-based learning environments: A case study in problem selection. In Liao, T. T. (ed.), Advanced Educational Technology: Research Issues and Future Potential (NATO ASI Series F, Vol. 145). Springer Verlag, Berlin.

    Google Scholar 

  • Van Merrienboer, J. J. G., Luursema, J. J., Kingma, H., Houweling, F., and de Vries, A. P. (1995). Fuzzy logic instructional models: The dynamic construction of programming assignments in CASCO. In Tennyson, R. D., and Barron, A. E. B. (eds.), Automating. Instructional Design: Computer-Based Development and Delivery Tools (NATO ASI Series F), Springer Verlag, Berlin.

    Google Scholar 

  • Van Merrienboer, J. J. G., and Paas, F. G. W. C. (1990). Automation and schema acquisition in learning elementary compute programming: Implications for the design of practice. Comput. Human Behav. 6: 273–289.

    Google Scholar 

  • Vollmeyer, R., Burns, B., and Holyoak, K. (1996). The impact of goal specificity on strategy use and the acquisition of problem structure. Cognit. Sci. 20: 75–100.

    Google Scholar 

  • Ward, M., and Sweller, J. (1990). Structuring effective worked examples. Cognit. Instr. 7: 1–39.

    Google Scholar 

  • Wierwille, W. W., and Eggemeier, F. L. (1993). Recommendations for mental workload measurement in a test and evaluation environment. Human Fact. 35: 263–281.

    Google Scholar 

  • Yeung, A., Jin, P., and Sweller, J. (1998). Cognitive load and learner expertise: Split-attention and redundancy effects in reading with explanatory notes. Contemp. Educ. Psychol. 23: 1–21.

    Google Scholar 

  • Zhu, X., and Simon, H. (1987). Learning mathematics from examples and by doing. Cognit. Instr. 4: 137–166.

    Google Scholar 

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Sweller, J., van Merrienboer, J.J.G. & Paas, F.G.W.C. Cognitive Architecture and Instructional Design. Educational Psychology Review 10, 251–296 (1998). https://doi.org/10.1023/A:1022193728205

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