Five common but questionable principles ofmultimedia learning

This chapter describes five commonly held principles about multimedia learning that are not supported by research and suggests alternative generalizations that are more firmly based on existing studies.' The questionable beliefs include the expectations that multimedia instruction: (1) yields more learning than live instruction or older media; (2) is more motivating than other instructional delivery options; (3) provides animated pedagogical agents that aid learning; (4) accommodates different learning styles and so maximizes learning for more students; and (5) facilitates student-managed constructivist and discovery approaches that are beneficial to learning. Introduction Multimedia instruction is one of the current examples of a new area of instructional research and practice that has generated a considerable amount of excitement. Like other new areas, its early advocates begin with a set of assumptions about the learning and access problems it will solve and the opportunities it affords (see, e.g., a report by the American Society for Training and Development, 2001). The goal of this chapter is to examine the early expectations about multimedia benefits that seem so intuitively correct that advocates may not have carefully examined research evidence for them. If these implicit assumptions are incorrect we may unintentionally be using them as the basis for designing multimedia instruction that does not support learning or enhance motivation. Even when easily available research findings contradict widely shared beliefs about benefits, it is tempting to ignore the research by assuming, without careful analysis,

[1]  R. Kozma Reflections on the state of educational technology research and development , 2000 .

[2]  R. Mayer,et al.  Three Facets of Visual and Verbal Learners: Cognitive Ability, Cognitive Style, and Learning Preference. , 2003 .

[3]  Clifford Nass,et al.  Anthropomorphism, agency, and ethopoeia: computers as social actors , 1993, INTERCHI Adjunct Proceedings.

[4]  R. Riding,et al.  Cognitive Styles—an overview and integration , 1991 .

[5]  Slava Kalyuga,et al.  Measuring Knowledge to Optimize Cognitive Load Factors During Instruction. , 2004 .

[6]  D. Massaro,et al.  Development and Evaluation of a Computer-Animated Tutor for Vocabulary and Language Learning in Children with Autism , 2003, Journal of autism and developmental disorders.

[7]  Thomas Erickson Designing agents as if people mattered , 1997 .

[8]  P. Ackerman A correlational analysis of skill specificity: Learning, abilities, and individual differences. , 1990 .

[9]  K. A. Ericsson,et al.  Expert and exceptional performance: evidence of maximal adaptation to task constraints. , 1996, Annual review of psychology.

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

[11]  Boutros Boutros-Ghali The Five Principles , 2004 .

[12]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[13]  Susan M. Land,et al.  A conceptual framework for the development of theories-in-action with open-ended learning environments , 1996 .

[14]  P. Pintrich,et al.  Motivation in Education: Theory, Research, and Applications , 1995 .

[15]  Susanne van Mulken,et al.  The impact of animated interface agents: a review of empirical research , 2000, Int. J. Hum. Comput. Stud..

[16]  Thomas Rist,et al.  Employing AI Methods to Control the Behavior of Animated Interface Agents , 1999, Appl. Artif. Intell..

[17]  John R. Anderson,et al.  What role do cognitive architectures play in intelligent tutoring systems , 2001 .

[18]  Alfred Bork,et al.  Multimedia in Learning , 2001 .

[19]  S. Cassidy,et al.  Learning Styles: An overview of theories, models, and measures , 2004 .

[20]  Jan J. Elshout,et al.  Differential effects of instructional support on learning in simultation environments , 1994 .

[21]  Scotty D. Craig,et al.  Animated Pedagogical Agents in Multimedia Educational Environments: Effects of Agent Properties, Picture Features, and Redundancy , 2002 .

[22]  Albert T. Corbett,et al.  Cognitive Computer Tutors: Solving the Two-Sigma Problem , 2001, User Modeling.

[23]  R. Clark Antagonism Between Achievement and Enjoyment in ATI Studies , 1982 .

[24]  P. Ackerman Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. , 1988 .

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

[26]  Liesbeth Kester,et al.  Just-in-time information presentation and the acquisition of complex cognitive skills , 2001, Comput. Hum. Behav..

[27]  Robin K. Henson,et al.  Variability and Prediction of Measurement Error in Kolb’s Learning Style Inventory Scores a Reliability Generalization Study , 2002 .

[28]  Demetrios G. Sampson,et al.  Personalised Learning: Educational, Technological and Standardisation Perspective , 2002 .

[29]  Antonija Mitrovic,et al.  Evaluating an Animated Pedagogical Agent , 2000, Intelligent Tutoring Systems.

[30]  Peter Goodyear,et al.  Learning Processes, Learner Attributes and Simulations. , 1991 .

[31]  B. Bloom The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring , 1984 .

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

[33]  Jörg Doll,et al.  Intelligenz und Schachleistung—eine Untersuchung an Schachexperten. , 1987 .

[34]  John Sweller,et al.  Cognitive technology: Some procedures for facilitating learning and problem solving in mathematics and science. , 1989 .

[35]  Maria Virvou,et al.  Evaluating the persona effect of an interface agent in a tutoring system , 2002, J. Comput. Assist. Learn..

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

[37]  R. Kozma Will media influence learning? Reframing the debate , 1994 .

[38]  C. Nass,et al.  Voices, boxes, and sources of messages: Computers and social actors. , 1993 .

[39]  Patricia D. Mautone,et al.  Social cues in multimedia learning: Role of speaker's voice. , 2003 .

[40]  Henry M. Levin,et al.  Cost-Effectiveness of Computer-Assisted Instruction , 1987 .

[41]  M. Linn,et al.  Teaching thermodynamics to middle school students: What are appropriate cognitive demands? , 1991 .

[42]  Charles L. Hulin,et al.  Adding a Dimension: Time as a Factor in the Generalizability of Predictive Relationships , 1990 .

[43]  Kenneth A. Kavale,et al.  Substance over Style: Assessing the Efficacy of Modality Testing and Teaching , 1987 .

[44]  J. D. Horn,et al.  Expertise and age-related changes in components of intelligence. , 2001, Psychology and aging.

[45]  P. Ackerman Individual differences in skill learning: An integration of psychometric and information processing perspectives. , 1987 .

[46]  J M Harackiewicz,et al.  Achievement goals and optimal motivation: testing multiple goal models. , 2001, Journal of personality and social psychology.

[47]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

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

[49]  P. Ackerman Predicting individual differences in complex skill acquisition: dynamics of ability determinants. , 1992, The Journal of applied psychology.

[50]  John Sweller,et al.  The impact of sequencing and prior knowledge on learning mathematics through spreadsheet applications , 2005 .

[51]  Scotty D. Craig,et al.  Constructing Knowledge from Dialog in an Intelligent Tutoring System: Interactive Learning, Vicarious Learning, and Pedagogical Agents , 2004 .

[52]  G. Salomon Television is "easy" and print is "tough": The differential investment of mental effort in learning as a function of perceptions and attributions. , 1984 .

[53]  Justine Cassell,et al.  Virtual peers as partners in storytelling and literacy learning , 2003, J. Comput. Assist. Learn..

[54]  Richard E. Mayer,et al.  Multimedia learning in an interactive self-explaining environment: What works in the design of agent , 2003 .

[55]  Jeffrey K. Liker,et al.  A day at the races: A study of IQ, expertise, and cognitive complexity. , 1986 .

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

[57]  J. Tuovinen,et al.  A comparison of cognitive load associated with discovery learning and worked examples , 1999 .

[58]  H. Levin,et al.  Cost-Effectiveness Analysis: Methods and Applications , 2000 .

[59]  Richard E. Clark,et al.  Evaluating Distance Education: Strategies and Cautions , 2000 .

[60]  R. Loo Evaluating Change and Stability in Learning Style Scores: a methodological concern , 1997 .

[61]  R. Mayer,et al.  Multimedia Learning: The Promise of Multimedia Learning , 2001 .

[62]  Gary R. Morrison,et al.  The media effects question: “Unresolvable” or asking the right question , 1994 .

[63]  J. Eccles,et al.  Motivational beliefs, values, and goals. , 2002, Annual review of psychology.

[64]  John Sweller,et al.  Instructional Design in Technical Areas , 1999 .

[65]  T. Duffy,et al.  Psychometric properties of Honey & Mumford's Learning Styles Questionnaire (LSQ) , 2002 .

[66]  Robert M. Bernard,et al.  How Does Distance Education Compare With Classroom Instruction? A Meta-Analysis of the Empirical Literature , 2004 .

[67]  Joachim Funke,et al.  Solving complex problems: Exploration and control of complex systems , 1991 .

[68]  A. L. Baylor Expanding preservice teachers' metacognitive awareness of instructional planning through pedagogical agents , 2002 .

[69]  W. Schramm,et al.  Big Media, Little Media , 1973 .

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

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

[72]  Slava Kalyuga,et al.  When problem solving is superior to studying worked examples. , 2001 .

[73]  Ton de Jong,et al.  Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .

[74]  R. Cattell Intelligence : its structure, growth and action , 1987 .

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

[76]  C. Abrahamson,et al.  AUTHOR: CRAIG E. ABRAHAMSON TITLE: ISSUES IN INTERACTIVE COMMUNICATION IN DISTANCE EDUCATION , 1999 .

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

[78]  J. Richardson,et al.  Field Dependence Revisited I: Intelligence , 2000 .

[79]  Steven A. Stahl Different Strokes for Different Folks? A Critique of Learning Styles. , 1999 .

[80]  John T. E. Richardson,et al.  Researching Student Learning: Approaches to Studying in Campus-Based and Distance Education , 2000 .

[81]  Richard E. Clarck When teaching kills learning: research on mathemathantics , 1990 .

[82]  Valerie J. Shute,et al.  A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown , 1990, Interact. Learn. Environ..

[83]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

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

[85]  R. Atkinson Optimizing learning from examples using animated pedagogical agents. , 2002 .

[86]  P. Kirschner,et al.  Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning , 2003 .