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Learning From Visualizations: Principles from Learning Science

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Title: Learning From Visualizations: Principles from Learning Science


1
Learning From Visualizations Principles from
Learning Science
  • David N. Rapp
  • University of Minnesota

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  • What is a visualization?
  • Novel presentation of data
  • Can detail dynamic, salient relationships
  • Can provide experience with the unobservable
  • Teach, organize, simulate

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  • How can visualizations influence learning
    processes?

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  • Learning
  • The acquisition and application of knowledge.

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The goal of an educational experience is for
students to develop an understanding of some
principle or concept, and to be able to apply
that information to resolve an extended range of
problems in a variety of situations. (Rapp, in
press)
9
  • Mental Models

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  • a memory-based representation of some event or
    situation (Johnson-Laird, 1983)
  • mental simulations
    (Kahneman Tversky, 1982)
  • integrates background knowledge with immediate
    experience
  • incomplete and reconstructive (Tversky,
    1993)

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  • Theory and research supports the use of mental
    models in learning and comprehension
  • Text
    (van Dijk
    Kintsch, 1978)
  • Film
    (Magliano, Dijkstra,
    Zwaan, 1996)
  • Maps
    (Taylor Tversky,
    1996)
  • Scientific models and principles
    (Gentner Stevens, 1983)

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  • Animation of mechanical systems
    (Hegarty, Just, Morrison, 1988)
  • Educational television programs
    (van den Broek, Pugzles-Lorch,
    Thurlow, 1996)
  • Health Advertisements
    (Southwell, 2002)
  • Multimedia presentations
    (Mayer, 2001)
  • Hypermedia-based software tools
    (Rapp, Taylor, Crane, 2003)

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Learning across these diverse situations involves
similar mental processes
  • Encoding
  • Retrieval/Activation of background knowledge
  • Integration and simulation

14
  • What are some qualities of educational
    situations that facilitate the construction of
    mental models?

15
  • Cognitive Engagement
  • Participants active focus and attention to
    material
  • Increased motivation and involvement
    (Cordova Lepper, 1996)
  • Deeper cognitive processing of information
    (Craik Lockhart, 1972 Craik
    Tulving, 1975)

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  • Interactivity
  • Control over the pace of the learning situation
  • Increased motivation and involvement
    (Cordova Lepper, 1996)
  • Permits personalization of the learning
    experience in accord with instructor and student
    goals
  • Iterative learning

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  • Multimedia Presentation
  • Dual-coding of material (Paivio, 1969)
  • Effectiveness as a function of modality,
    redundancy, individual differences (Mayer, 2001)
  • Congruence Principle
    (Morrison, Tversky, Betrancourt, 2000)
  • Engaging, motivating, novel

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  • All of these principles align
    with constructivist views of learning.

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  • But to what degree can
    visualizations influence learning?
  • Can visualization experiences facilitate the
    construction of mental models?

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  • Engaging
  • -must pair with guided activities

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  • Interactive
  • -must be interactive with respect to
    specific learning goals

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  • Multimedia Presentation
  • -must carefully align with effective
    presentation principles

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Future Challenges
  • Additional study of effective educational
    features
  • Collaboration to improve the use of
    visualizations in educational situations
  • Empirical assessment of visualizations and
    educational outcomes
  • Designing visualizations for specific purposes
    and populations

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Conclusions
  • Visualizations have the potential to influence
    learning
  • The Learning Sciences have assessed some of the
    effective components of learning situations
  • Combining content-driven visualizations with
    principles of learning will lead to effective
    educational experiences

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  • For reference information
  • rappx009_at_umn.edu
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