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EDC

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Reconsidering Research on Learning from Media--Richard Clark ... a Cross-Over Design with medical students studying Hematology and Cardiology. ... – PowerPoint PPT presentation

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Title: EDC


1
EDCI 510History of Educational Technology
  • July 5, 2005
  • The Foundations of Educational Research

2
Topics for Today
  • Your Questions
  • The Computer Model of Cognition
  • Courtneys presentation on Richard Clark
  • Bobbis presentation on Bob Kozma
  • Problems with Educational Research
  • No Significant Difference
  • Other Issues from Chapters 8 15

3
The Computer Model of Cognition
4
The Great Delivery Truck Debate
5
Reconsidering Research on Learning from
Media--Richard Clark
  • This debate has been contested ever since Clark
    published this article.
  • Why?

6
Reconsidering Research on Learning from Media
  • Articles primary focus is on media selection
  • Media do not influence learning under any
    conditions
  • What we have is research with media rather than
    research on media
  • Confounding is often found in the studies
  • Comes from method or content differences or
    novelty effect

7
Reconsidering Research on Learning from Media
  • Should not confuse teacher with teaching
  • There is also a problem in media attributes
  • Attributes are an integral part of media
  • Attributes will cultivate cognitive skills

8
Other Clark ArticlesConfounding in Educational
Computing ResearchJ. Educational Computer
Research, Vol. 1 (2), 1985
  • Most media research is confounded
  • Any effect is attributed to
  • Different instructional methods
  • Content
  • Novelty
  • This diminishes the role of computing research in
    developing an instructional theory but not in ID
    or delivery

9
Other Clark ArticlesDangers in the Evaluation
of Instructional MediaAcademic Medicine Vol 67,
No. 12, Dec. 1992
  • I have argued that achievement gains result from
    the use of instructional methods that are
    appropriate for learning objectives and students
    aptitudes. Methods such as examples, analogies,
    models, interactive simulations, practice, and
    feedback, when applied appropriately, can
    significantly enhance learning.
  • Introduction to PlanAlyzer, an Interactive
    Computer-assisted Program, Lyon, et. al. in
    which Lyon used a Cross-Over Design with medical
    students studying Hematology and Cardiology.

10
Learning With MediaGreg Kozma
  • Media do influence learning
  • Capabilities of media and effective methods,
    working together, are the answer
  • Media is defined by
  • Its technology
  • Its symbol system
  • The cognitive processes that are elicited by it.

11
Learning With Media
  • Learning is viewed as an active, constructive
    process where the learner strategically manages
    the available cognitive resources to create new
    knowledge by extracting information from the
    environment and integrating it with information
    already stored in memory.
  • Thus symbol systems are not sufficient to
    describe a medium and its cognitive effects. You
    must also include information that is being
    processed in memory.

12
Learning With Media
  • Amount of invested mental effort is important. It
    is affected by
  • Attitudes people have about the amount of effort
    required to process the message in the media
  • The cognitive loadhow hard the learning tasks
    are to the learner
  • Viewer control is an important instructional
    design consideration

13
Learning With Media
  • The computer medium
  • Offers self-pace
  • Learner can manipulate entities within the
    computer program
  • Hypertext facilitates the application and
    transfer of complex knowledge to new situations.
  • This flexibility requires the presentation of
    knowledge along multiple rather than single
    conceptual dimensions.

14
For More Information
  • Learning from Media Arguments Analysis, and
    EvidenceEdited by Richard E. Clark

15
Effectiveness of Computer-Based Instruction An
Updated AnalysisKulik Kulik
  • Meta-analysis involves 5 steps
  • Defining Inclusion Criteria
  • Locating Studies
  • Coding Study Features
  • Quantifying individual study outcomes
  • Analyzing Data

16
Meta-Analysis Method
  • Locate studies of an issue through objective and
    replicable searches
  • Code the studies for salient features
  • Code study outcomes on a common scale
  • For Kulik and Kulik, this was the effect size
    the difference between the mean scores of two
    groups divided by the standard deviation of the
    control group

17
Meta-Analysis Method
  • Use statistical methods to relate study features
    to outcomes
  • Quickly gives a broad overview of research in a
    certain field
  • May combine apples with oranges rather than
    other apples
  • Important to Evidence-Based Medicine

18
Effectiveness of Computer-Based Instruction An
Updated Analysis
  • CBI raised final examination scores by 0.30 SD
  • Relationship between outcomes and
  • Study duration
  • Control for instructor effects
  • Publication source
  • CBI especially effective when duration of
    treatment is four weeks or less.
  • Hawthorne effect

19
Effectiveness of Computer-Based Instruction An
Updated Analysis
  • Students develop more positive attitudes toward
    computers when they receive help from them in
    school.
  • Computers do not have positive effects in every
    area in which they were studied.

20
Richard Clarks Critique of Kulik Kulik
  • In over 50 of studies, obvious failures to
    control amount of instruction (bad)
  • In over 40 of studies, the same teacher taught
    both CBI and control groups (good)
  • Instructional method was controlled for in only
    half of the 30 studies analyzed
  • In only 2 of the 15 studies where instructional
    methods were controlled were there significant
    differences favoring CBI
  • Meager but compelling evidence for the John Henry
    Effect (compensatory rivalry)

21
Whats Wrong with Media Comparison Studies?
Daniel Surry David Ensminger
  • Why do so many people think media comparison
    studies are valuable to our field?
  • Prevalent
  • Very simple conceptuallyeasy to see the
    variables
  • Easy to set up and runespecially if you are
    comparing to the face to face classroom which is
    already set up
  • Every time you have a new medium, you have a
    ready made study.
  • Provide quick, usable information to answer media
    questions.People are grasping at straws.
  • At the core of the field

22
What are the Alternatives?
  • Two types of studies
  • Media Researchconcerned with effectiveness,
    development and improvement of different media
  • Non-media research is concerned with everything
    else---design models, implementation strategies,
    and return on investmentbeyond scope of article.

23
Media Research
  • Need to design studies that use the media
    attribute as the independent variable
  • For example, explore CAI and vary one of its
    attributes, such as learner control.
  • Need to consider learner aptitude
  • Similar to Snows Aptitude-Treatment Interactions

24
Aptitude-Treatment Interaction
  • Lee Cronbach Richard Snow
  • Principles
  • Aptitudes and instructional treatments interact
    in complex patterns and are influenced by task
    and situation variables.
  • Highly structured instructional environments tend
    to be most successful with students of lower
    ability conversely, low structure environments
    may result in better learning for high ability
    students.
  • Anxious or conforming students tend to learn
    better in highly structured instructional
    environments non-anxious or independent students
    tend to prefer low structure.

25
Media Comparison Studies
  • In conclusion, researchers in our field should
    avoid being seduced by the simplistic logic of
    media comparison studies. As a field, we should
    force ourselves to look deeper into the important
    issues of instructional method and learner
    characteristics, push ourselves to use a variety
    of experimental, quasi-experimental and
    qualitative research designs, and challenge
    ourselves to conduct methodologically sound
    research.

26
Media Comparison meets the No Significant
Difference Phenomenon
  • What is this all about?
  • No Significant Difference Web Site
  • http//www.nosignificantdifference.org/
  • No Comparison Distance Education Finds a New Use
    for No Significant DifferenceLockee, Burton,
    CrossETRD, Vol 47, 3. 1999

27
No Comparison Basic Tenets
  • DL Researchers believe that distance learning is
    as rigorous as face to face
  • Research is often done by program developers who
    are not basing their research on robust theory,
    good literature review and strong measurement
    techniques
  • Difficult to compare DL students (who are
    non-traditional students) to their face to face
    counterparts

28
No Comparison Suggestions
  • Longitudinal studies
  • Provides a more accurate perspective
  • Developmental studies
  • A situation in which someone is performing
    instructional design
  • The study of the impact of someone elses
    instructional design
  • The study of the instructional design process

29
No Comparison Suggestions
  • Media Attributes
  • Instructional Strategies
  • Individual Learner Characteristics
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