Cognitive Architecture and Instructional Design

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.

[1]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[2]  O. Bratfisch.  Perceived Item-Difficulty in Three Tests of Intellectual Performance Capacity. , 1972 .

[3]  H. Simon,et al.  Perception in chess , 1973 .

[4]  H. Simon,et al.  A simulation of memory for chess positions. , 1973 .

[5]  R. Shiffrin,et al.  Controlled and automatic human information processing: I , 1977 .

[6]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[7]  Walter Schneider,et al.  Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .

[8]  G. Borg.  Subjective aspects of physical and mental load. , 1978, Ergonomics.

[9]  D E Egan,et al.  Chunking in recall of symbolic drawings , 1979, Memory & cognition.

[10]  John R. Anderson,et al.  A Comparison of Texts and their Summaries: Memorial Consequences. , 1980 .

[11]  Robin Jeffries,et al.  The Processes Involved in Designing Software. , 1980 .

[12]  Michelene T. H. Chi,et al.  Expertise in Problem Solving. , 1981 .

[13]  M. Levine,et al.  Effects of Goal Specificity on Means-Ends Analysis and Learning. , 1982 .

[14]  L M Reder,et al.  Effects of spacing and embellishment on memory for the main points of a text , 1982, Memory & cognition.

[15]  John Sweller,et al.  Development of expertise in mathematical problem solving , 1983 .

[16]  D. Gopher,et al.  On the Psychophysics of Workload: Why Bother with Subjective Measures? , 1984 .

[17]  J. Sweller,et al.  What do students learn while solving mathematics problems , 1985 .

[18]  J. Sweller,et al.  The Use of Worked Examples as a Substitute for Problem Solving in Learning Algebra , 1985 .

[19]  H. Simon,et al.  Why are some problems hard? Evidence from Tower of Hanoi , 1985, Cognitive Psychology.

[20]  P. Pirolli,et al.  The role of learning from examples in the acquisition of recursive programming skills. , 1985 .

[21]  Woodrow Barfield,et al.  Expert-novice differences for software: implications for problem-solving and knowledge acquisition , 1986 .

[22]  J. LeFevre,et al.  Do Written Instructions Need Examples , 1986 .

[23]  H. Lieberman,et al.  An example based environment for beginning programmers , 1986 .

[24]  H. Simon,et al.  Learning Mathematics From Examples and by Doing , 1987 .

[25]  J. Sweller,et al.  Effects of schema acquisition and rule automation on mathematical problem-solving transfer. , 1987 .

[26]  Michelene T. H. Chi,et al.  Self-Explanations: How Students Study and Use Examples in Learning To Solve Problems. Technical Report No. 9. , 1987 .

[27]  S. Cormier,et al.  Transfer of learning: Contemporary research and applications. , 1987 .

[28]  Hein P. M. Krammer,et al.  Instructional strategies and tactics for the design of introductory computer programming courses in high school , 1987 .

[29]  J Aasman,et al.  Operator Effort and the Measurement of Heart-Rate Variability , 1987, Human factors.

[30]  L. Mulder.  Assessment of cardiovascular reactivity by means of spectral analysis , 1988 .

[31]  R. A. Tarmizi,et al.  Guidance during Mathematical Problem Solving. , 1988 .

[32]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[33]  John R. Anderson,et al.  The Transfer of Cognitive Skill , 1989 .

[34]  C. Penney.  Modality effects and the structure of short-term verbal memory , 1989, Memory & cognition.

[35]  Jeroen J. G. van Merriënboer,et al.  Contextual Interference: Interactions with Reflection-Impulsivity , 1989 .

[36]  Jeroen J. G. van Merriënboer,et al.  The ADAPT design model: towards instructional control of transfer , 1990 .

[37]  Fred Paas,et al.  Automation and schema acquisition in learning elementary computer programming : implications for the design of practice , 1990 .

[38]  John Millar Carroll.  The Nurnberg Funnel: Designing Minimalist Instruction for Practical Computer Skill , 1990 .

[39]  P. Chandler,et al.  Cognitive load as a factor in the structuring of technical material. , 1990 .

[40]  William J. Clancey,et al.  Cognitive Modeling and Intelligent Tutoring , 1990 .

[41]  Jeroen J. G. van Merriënboer,et al.  Strategies for Programming Instruction in High School: Program Completion vs. Program Generation , 1990 .

[42]  J.J.G. van Merrienboer,et al.  The 'completion strategy' in programming instruction : theoretical and empirical support , 1990 .

[43]  J. Sweller,et al.  Structuring Effective Worked Examples , 1990 .

[44]  J. Schooler,et al.  Verbal overshadowing of visual memories: Some things are better left unsaid , 1990, Cognitive Psychology.

[45]  Otto Jelsma,et al.  Process: program for research on operator control in an experimental simulated setting , 1990, IEEE Trans. Syst. Man Cybern..

[46]  John R. Anderson,et al.  Cognitive Modeling and Intelligent Tutoring , 1990, Artif. Intell..

[47]  R. Mayer,et al.  Animations need narrations : an experimental test of a dual-coding hypothesis , 1991 .

[48]  P. Pirolli.  Effects of Examples and Their Explanations in a Lesson n Recursion: A Production System Analysis , 1991 .

[49]  P. Chandler,et al.  Cognitive Load Theory and the Format of Instruction , 1991 .

[50]  J.J.G. van Merrienboer,et al.  Training strategies for teaching introductory computer programming , 1992 .

[51]  Jeroen J. G. van Merriënboer,et al.  Strategies for computer-based programming instruction: Program completion vs. program generation. , 1992 .

[52]  Otto Jelsma,et al.  Training for reflective expertise: A four-component instructional design model for complex cognitive skills , 1992 .

[53]  Fred G. W. C. Paas,et al.  The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures , 1992 .

[54]  R. Mayer,et al.  The instructive animation: helping students build connections between words and pictures in multimedia learning , 1992 .

[55]  P. Chandler,et al.  THE SPLIT‐ATTENTION EFFECT AS A FACTOR IN THE DESIGN OF INSTRUCTION , 1992 .

[56]  F. Paas.  Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. , 1992 .

[57]  E. James Kehoe,et al.  Pictures Block the Learning of Sightwords , 1992 .

[58]  John R. Anderson.  Development of expertise , 1993 .

[59]  Paul Ayres.  Why Goal-Free Problems Can Facilitate Learning , 1993 .

[60]  Steven M. Smith,et al.  Constraining effects of examples in a creative generation task , 1993, Memory & cognition.

[61]  Khurshid Ahmad,et al.  The Role of Examples in the Teaching of Programming Languages , 1993 .

[62]  F. T. Eggemeier,et al.  Recommendations for Mental Workload Measurement in a Test and Evaluation Environment , 1993 .

[63]  J. Sweller,et al.  Cognitive load effects in a primary-school geometry task , 1993 .

[64]  Ard W. Lazonder,et al.  The Minimal Manual: Is Less Really More? , 1993, Int. J. Man Mach. Stud..

[65]  K. Hendy,et al.  Measuring Subjective Workload: When Is One Scale Better Than Many? , 1993 .

[66]  J. Sweller.  COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[67]  F. Paas,et al.  Variability of Worked Examples and Transfer of Geometrical Problem-Solving Skills: A Cognitive-Load Approach , 1994 .

[68]  F. Paas,et al.  Instructional control of cognitive load in the training of complex cognitive tasks , 1994 .

[69]  P. Chandler,et al.  Why Some Material Is Difficult to Learn , 1994 .

[70]  William M. Carroll.  Using worked examples as an instructional support in the algebra classroom. , 1994 .

[71]  John Sweller,et al.  Demands Imposed on Primary-School Students by Geometric Models , 1994 .

[72]  F. Paas,et al.  Measurement of Cognitive Load in Instructional Research , 1994, Perceptual and motor skills.

[73]  J.J.G. van Merrienboer,et al.  Automating the planning and construction of programming assignments for teaching introductory computer programming , 1994 .

[74]  N. Charness,et al.  Expert Performance Its Structure and Acquisition , 2002 .

[75]  Arjen P. de Vries,et al.  Fuzzy Logic Instructional Models: The Dynamic Construction of Programming Assignments in CASCO , 1995 .

[76]  J. Sweller,et al.  Reducing cognitive load by mixing auditory and visual presentation modes , 1995 .

[77]  P. Chandler,et al.  Cognitive Load While Learning to Use a Computer Program , 1996 .

[78]  Jeroen J. G. van Merriënboer,et al.  Implementing Instructional Models in Computer-Based Learning Environments: A Case Study in Problem Selection , 1996 .

[79]  W. Kintsch,et al.  Are Good Texts Always Better? Interactions of Text Coherence, Background Knowledge, and Levels of Understanding in Learning From Text , 1996 .

[80]  Richard E. Mayer,et al.  When less is more: Meaningful learning from visual and verbal summaries of science textbook lessons. , 1996 .

[81]  Bruce D. Burns,et al.  The Impact of Goal Specificity on Strategy Use and the Acquisition of Problem Structure , 1996, Cogn. Sci..

[82]  Paul Chandler,et al.  Some Conditions under Which Integrated Computer-Based Training Software Can Facilitate Learning , 1996 .

[83]  Jill L. Quilici,et al.  Role of examples in how students learn to categorize statistics word problems. , 1996 .

[84]  Jeroen J. G. van Merriënboer,et al.  The Transfer Paradox: Effects of Contextual Interference on Retention and Transfer Performance of a Complex Cognitive Skill , 1997 .

[85]  S. Dijkstra,et al.  The four-component instructional design model for training complex cognitive skills , 1997 .

[86]  Sharon K Tindall-Ford,et al.  When two sensory modes are better than one , 1997 .

[87]  Jeroen J. G. van Merriënboer,et al.  Training Complex Cognitive Skills: A Four-Component Instructional Design Model for Technical Training , 1997 .

[88]  Yeung,et al.  Cognitive Load and Learner Expertise: Split-Attention and Redundancy Effects in Reading with Explanatory Notes , 1998, Contemporary educational psychology.

[89]  Paul Chandler,et al.  Levels of Expertise and Instructional Design , 1998, Hum. Factors.

[90]  J. Sweller,et al.  Learning to Solve Compare Word Problems: The Effect of Example Format and Generating Self-Explanations , 1998 .