Cognitive Load Theory: From Neo-Behaviorism to Neuroscience: Perspectives on the Origins and Future Contributions of Cognitive Load Research

Previous chapters have defined Cognitive Load Theory (CLT), described evidence for different origins and types of cognitive load, the way that load interacts with individual differences and the impact of load on learning from instruction. In this chapter we will step back a bit and describe some of the history of cognitive load theory in order to better understand both its current focus and future directions. We will then describe some of the current and planned research trends in biology and neuroscience that may provide insights about a few of the thorny measurement and design problems that confront cognitive load researchers. The discussion focuses attention on an older area of neuroscience, the use of pupilometry and eye movement technology to measure cognitive load and identify the source of load. The chapter concludes with a suggestion for collaborative studies based on neuroscience insights about the measurement of cognitive load and ways to distinguish between germane and extraneous load for individuals during learning and performance.

[1]  C. H. Judd,et al.  Evolution and consciousness. , 1910 .

[2]  Susanne M. Jaeggi,et al.  Does excessive memory load attenuate activation in the prefrontal cortex? Load-dependent processing in single and dual tasks: functional magnetic resonance imaging study , 2003, NeuroImage.

[3]  Vincent P. Clark,et al.  Orthogonal Polynomial Regression for the Detection of Response Variability in Event-Related fMRI , 2002, NeuroImage.

[4]  A. Kok.  On the utility of P3 amplitude as a measure of processing capacity. , 2001, Psychophysiology.

[5]  G. Woodman,et al.  Event-related potential studies of attention , 2000, Trends in Cognitive Sciences.

[6]  E. Granholm,et al.  Pupillary responses on the visual backward masking task reflect general cognitive ability. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[7]  Sandra P Marshall,et al.  Identifying cognitive state from eye metrics. , 2007, Aviation, space, and environmental medicine.

[8]  Richard E. Clark,et al.  Yin and Yang Cognitive Motivational Processes Operating in Multimedia Learning Environments , 2004 .

[9]  Richard E. Clark,et al.  Motivational Challenges Experienced in Highly Complex Learning Environments , 2006 .

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

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

[12]  Slava Kalyuga,et al.  Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning , 2005 .

[13]  C. Myers.  Educational Psychology , 1904, Nature.

[14]  D Kahneman,et al.  Pupil Diameter and Load on Memory , 1966, Science.

[15]  Edward E. Smith,et al.  Neuroimaging studies of working memory: , 2003, Cognitive, affective & behavioral neuroscience.

[16]  D. Woltz.  Implicit Cognitive Processes as Aptitudes for Learning , 2003, Educational Psychologist.

[17]  R. Coppola,et al.  Physiological characteristics of capacity constraints in working memory as revealed by functional MRI. , 1999, Cerebral cortex.

[18]  J. Haxby,et al.  fMRI study of face perception and memory using random stimulus sequences. , 1998, Journal of neurophysiology.

[19]  Females, but Not Males, Show Greater Pupillary Response to Direct-Than Deviated-Gaze Faces , 2006, Perception.

[20]  Jan Elen,et al.  Handling Complexity in Learning Environments: Theory and Research. Advances in Learning and Instruction. , 2006 .

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

[22]  Leslie G. Ungerleider,et al.  Object and spatial visual working memory activate separate neural systems in human cortex. , 1996, Cerebral cortex.

[23]  Richard E. Clark,et al.  Learning from media : arguments, analysis, and evidence , 2001 .

[24]  A. Paivio,et al.  The effect of word abstractness and pleasantness on pupil size during an imagery task , 1966 .

[25]  Edward E. Smith,et al.  Dissociation of Storage and Rehearsal in Verbal Working Memory: Evidence From Positron Emission Tomography , 1996 .

[26]  C Iani,et al.  Peripheral arterial tone as an on-line measure of load in a simulated flight task , 2007, Ergonomics.

[27]  L. McEvoy,et al.  High resolution evoked potential imaging of the cortical dynamics of human working memory. , 1996, Electroencephalography and clinical neurophysiology.

[28]  R. Mayer.  Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[29]  D. Gopher,et al.  Effects of task difficulty and invested mental effort on peripheral vasoconstriction. , 2004, Psychophysiology.

[30]  M E Raichle,et al.  Images of the mind: studies with modern imaging techniques. , 1994, Annual review of psychology.

[31]  Brian P. Bailey,et al.  Towards an index of opportunity: understanding changes in mental workload during task execution , 2004, CHI.

[32]  David Richard Moore,et al.  E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning , 2006 .

[33]  Brian P. Bailey,et al.  Categories & Subject Descriptors: H.5.2 [Information , 2022 .

[34]  Slava Kalyuga,et al.  The Expertise Reversal Effect , 2003 .

[35]  R. Cabeza,et al.  Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies , 2000, Journal of Cognitive Neuroscience.

[36]  T. Troscianko,et al.  Effort during visual search and counting: Insights from pupillometry , 2007, Quarterly journal of experimental psychology.

[37]  Fred Paas,et al.  Effects of studying sequences of process-oriented and product-oriented worked examples on troubleshooting transfer efficiency , 2008 .

[38]  M. Petrides,et al.  Functional Organization of the Human Frontal Cortex for Mnemonic Processing. , 1995, Annals of the New York Academy of Sciences.

[39]  M. A. Recarte,et al.  Mental workload while driving: effects on visual search, discrimination, and decision making. , 2003, Journal of experimental psychology. Applied.

[40]  J. Sweller.  Instructional Design Consequences of an Analogy between Evolution by Natural Selection and Human Cognitive Architecture , 2004 .

[41]  Edward E. Smith,et al.  Spatial versus Object Working Memory: PET Investigations , 1995, Journal of Cognitive Neuroscience.

[42]  G. Ettlinger.  Conflict, Arousal and Curiosity: By D. E. Berlyne. New York: McGraw-Hill Publishing Company Ltd., 1960. Pp. 350 , 1962 .

[43]  L. P. Chambers,et al.  Does Consciousness Exist , 1930 .

[44]  David F. Feldon,et al.  Instructional implications of cognitive task analysisas a method for improving the accuracy of experts’ self-report , 2006 .

[45]  J. Beatty,et al.  Pupillometric signs of brain activation vary with level of cognitive processing. , 1978, Science.

[46]  J. Jonides,et al.  Dissociating verbal and spatial working memory using PET. , 1996, Cerebral cortex.

[47]  Leslie G. Ungerleider,et al.  Transient and sustained activity in a distributed neural system for human working memory , 1997, Nature.

[48]  Usha Goswami,et al.  Educational Neuroscience: Defining a New Discipline for the Study of Mental Representations , 2007 .

[49]  J. Beatty.  Task-evoked pupillary responses, processing load, and the structure of processing resources. , 1982, Psychological bulletin.

[50]  Ted Megaw,et al.  The definition and measurement of mental workload , 2005 .

[51]  Jan Elen,et al.  When less is more: research and theory insights about instruction for complex learning , 2006 .

[52]  Richard E. Clark,et al.  The Development of Authentic Educational Technologies. , 1999 .

[53]  M. D’Esposito,et al.  Activity in fusiform face area modulated as a function of working memory load. , 2001, Brain research. Cognitive brain research.

[54]  Slava Kalyuga,et al.  Individual Differences and Cognitive Load Theory , 2010 .

[55]  A. Owen.  The Functional Organization of Working Memory Processes Within Human Lateral Frontal Cortex: The Contribution of Functional Neuroimaging , 1997, The European journal of neuroscience.

[56]  Paul A. Kirschner,et al.  Ten Steps to Complex Learning: A Systematic Approach to Four-Component Instructional Design , 2007 .

[57]  G. Salomon.  The differential investment of mental effort in learning from different sources , 1983 .

[58]  M. D’Esposito.  Working memory. , 2008, Handbook of clinical neurology.

[59]  Richard E. Mayer,et al.  Multi media Learning(準備委員会企画講演2) , 2001 .

[60]  J. Tecce.  Contingent negative variation (CNV) and psychological processes in man. , 1972, Psychological bulletin.

[61]  E. N. Corlett,et al.  Evaluation of human work : a practical ergonomics methodology , 1991 .

[62]  N. Cowan.  The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[63]  F. Paas,et al.  Memory load and the cognitive pupillary response in aging. , 2004, Psychophysiology.

[64]  Henny P. A. Boshuizen,et al.  Expertise-related differences in conceptual and ontological knowledge in the legal domain , 2008 .

[65]  Richard E. Clark,et al.  Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching , 2006 .

[66]  L. Cronbach,et al.  Aptitude and instructional methods , 1977 .

[67]  松木 健一.  Reconstruction of Educational Research and Teacher Education as Seen from a Clinical Research : Focusing on the Teacher Education of Faculty of Education and Regional Studies Fukui University( Clinical Knowledge of Education) , 2002 .

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

[69]  W. B. Seales,et al.  Assessing Mental Workload During Laparoscopic Surgery , 2005, Surgical innovation.

[70]  J. Hedberg.  The Cambridge handbook of multimedia learning , 2007 .

[71]  Susan Y. Bookheimer,et al.  Neurodevelopmental changes in verbal working memory load-dependency: An fMRI investigation , 2008, NeuroImage.

[72]  Richard S. J. Frackowiak,et al.  The neural correlates of the verbal component of working memory , 1993, Nature.

[73]  R. Snow.  Aptitude development and education. , 1996 .

[74]  David F. Lohman,et al.  Human Intelligence: An Introduction to Advances in Theory and Research , 1989 .