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iTech Seminar

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Title: iTech Seminar


1
iTech Seminar
  • David W. Brooks
  • January 24, 2005

2
Todays Goals
  1. Describe ICML.
  2. Indicate what is known.
  3. Relate what is know (tenuously) to neural
    structures.
  4. Focus on what is NOT known.
  5. Speculate.

3
Punch Line
  • From an instructional design perspective, we
    dont know as much about motivation as we know
    about working memory.
  • WM issues are becoming formulaic motivation is
    still quite hit-or-miss.

4
ICMLInteractive Compensatory Model of Learning
5
ICML Reference
  • http//dwb.unl.edu/Chau/CompMod.html

6
Interactive, Compensatory
  • Perhaps the biggest notion of the ICML is that we
    humans are not cast in stone or otherwise trapped
    by some genetic or early-life-event factors. Most
    folks can work out of a learning issue effort
    matters.

7
ICMLInteractive Compensatory Model of Learning
8
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9
Best Predictor
  • The best predictor of what one can learn is their
    current knowledge. This generally accounts for
    no less than one third of the variance, and
    often accounts for gt80 of variance.

10
Shapiro Paper
  • A recent paper by Shapiro suggests that prior
    knowledge often is underestimated as a source of
    learning success.
  • Shapiro, A. (2004). How including prior knowledge
    as a subject variable may change outcomes of
    learning research. American Educational Research
    Journal, 41(1), 159-189.

11
Ability (Intelligence)
  • An enormous amount of hand-waving goes on related
    to intelligence. First, it is clear that
    intelligence does exist and does matter. Next,
    it also is clear that differences in intelligence
    do not impact on performance much among
    professionals suggesting that all can achieve
    appropriate levels of knowledge.

12
g and Working Memory
  • A very recent paper suggests an essentially
    complete overlap between g and working memory.
    That is, measuring g gives one essentially all
    one needs to know about working memory. While
    certainly not a wonderful paper, this report does
    make sense.

13
Colom et al.
  • Colom, R., Rebollo, I., Palacios, A.,
    Juan-Espinosa, M., Kyllonen, P. C. (2004).
    Working memory is (almost) perfectly predicted by
    g. Intelligence, 32, 277-296.

14
Design Overview -- SME
  • One can summarize nearly ALL of design work along
    these lines.
  • Content folks work in the knowledge box and
    figure out the sequence of steps needed to
    achieve understanding.
  • Occasionally they add something about strategy
    instruction.

15
Design Overview -- IBE
  • The designer pretty much works on lowering
    cognitive load to make material accessible. This
    is important when the material is difficult
    (possibly just new).

16
Conflicts -- SME vs IBE
  • Conflicts often arise between SMEs and IBEs.
    These often come from issues where like the IBE
    takes out something that the SME thinks of as
    very interesting or important (even if a bit off
    topic).

17
The BIG Puzzles
  • While this certainly is not meant to trivialize
    what is not known about knowledge structures and
    working memory, we know still less about --
  • Motivation

18
Study 1--Zoo
  • Working with Zoo animals, children seemed to give
    special respect not afforded to animals brought
    to classrooms by teachers.
  • Trainin et al. showed this to be related to the
    uniqueness of the animal rather than some aura
    connected with the Zoo.
  • Trainin, G., Wilson, K., Wickless, M., Brooks,
    D. (2005). Extraordinary Animals and Expository
    Writing Zoo in the Classroom. J. Sci. Educ.
    Technology, accepted.

19
Study 2--EE
  • Advanced electrical engineering students found
    computer simulations of signals to be somehow
    fake and those of hardware simulators to be
    real.
  • Reality versus Simulation, Srilekha Srinivasan,
    Lance C. Pérez, Robert D. Palmer, David W.
    Brooks, David Fowler (under revision)

20
Anecdote 1
  • Enormous effort is expended in biology education
    to deal with the teaching of evolution.
  • The point is that sometimes motivational issues
    become all-consuming.

21
TEAC vs EDPS
  • I would assert that much of the difference in
    approach between TEAC and EDPS is in how one
    values feel good. Indeed, feel good is often a
    primary goal in TEAC.
  • I think of qualitative research as feel-good
    research.

22
Knowledge
  • Knowledge changes probably are based in changes
    in the cortex. These involve -- one way or
    another -- lowering energy transmission through
    the cortex. The better nuanced and articulated a
    neural net, the more nuanced and articulated can
    be a neural output.

23
Ericsson
  • Ericssons work can be reduced to explanation in
    terms of articulating complex neural networks.
  • Performance understood in terms of automation --
    which involves reducing the amount of energy
    required to support a performance.

24
Ericsson et al.
  • Ericsson, K. A., Krampe, R. T., Tesch-Romer, C.
    (1993). The Role of Deliberate Practice in the
    Acquisition of Expert Performance. Psychological
    Rev., 100(3), 363-406.

25
Hippocampus
  • The working memory is probably connected to the
    hippocampus.
  • Involvement of the cortex is probably a confusion
    based upon use of the (frontal) cortex to store
    sequencing information.

26
Genetic / in Utero
  • Working memory is probably determined by some
    combination of genetic and/or in utero factors.

27
Hypothalamus
  • The tiny hypothalamus serves as the Health
    Maintenance Organization of the body, regulating
    its homeostasis, or stable state of equilibrium.
    The hypothalamus also generates behaviors
    involved in eating, drinking, general arousal,
    rage, aggression, embarrassment, escape from
    danger, pleasure and copulation.
  • http//www.geocities.com/hhugs2001/roleofhyp.htm

28
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29
Locus of Reward
  • McClure, S. M., Laibson, D. I., Lowenstein, G.,
    Cohen, J. D. (2004). Separate Neural Systems
    Value Immediate and Delayed Monetary Rewards.
    Science, 306, 503-507.

30
Locus
  • Immediate -- limbic system
  • Delayed -- cortex

31
Two Approaches
  • Ive found two approaches in the literature from
    which to try to tackle this issue.
  • Self-efficacy (Bandura)
  • Emotional Design (Norman)

32
Self-efficacy
  • Bandura introduces a concept, goal challenge.

33
Self-efficacy
  • While it might be possible to make a fit here,
    there is not a large enough base of work for that
    to seem efficient.

34
Emotional Design
  • Norman suggests that we perceive designs on three
    levels
  • Visceral
  • Behavioral
  • Reflective

35
Interesting, but
  • While Normans discussions are interesting and
    bring up many issues, I think they beg a major
    point.
  • Learning is cyclic todays struggle is
    tomorrow's automaticity.

36
Best way
  • I think that the most efficient way to deal with
    this is that, when effects such as these (Zoo,
    EE) are encountered, address them by working
    explicitly to include knowledge about them as
    part of the desired learning outcomes. That is,
    establish cortex-based learning goals.
  • In other words, take this off the table.

37
Zoo, EE
  • In the case of the Zoo, perhaps teachers should
    indicate that scientists often are engaged with
    novel and interesting cases, but that ordinary
    cases require that same kind of study and
    observation.
  • In the case of the EE, it probably is important
    to stress that being able to simulate is a virtue
    because of both ease and cost, and to develop
    some activities that make this point.

38
Evolution
  • In the case of teaching content with deeper
    emotional connections, the problem may be MUCH
    larger.

39
Cognitive Load Revisited
  • The notion of cognitive load sometimes is
    illustrated as follows.

40
Cooper Sketches
41
Three Suggestions
  • I make three suggestions of how to think about
    these issues.

42
Emotional Load
  • Add a factor called emotional load that takes up
    mental resources.
  • This would compete for working memory.

43
Change the Mental Resources
  • Perhaps some mental resources are reserved to
    deal with safety and security.
  • Perhaps the amount of resources thrown at a
    problem can be changed by emotional factors.

44
Systemic Changes??
45
Testable
  • It probably is possible to test among these
    possibilities.

46
Stress
  • For example, learning is known to be most
    effective when the learner experiences a moderate
    amount of stress. No stress or too much stress
    are not as effective.

47
Cortex Learning
  • Practice
  • Practice
  • Practice
  • Of course, thats deliberate practice.

48
Ability
  • Lower cognitive load. Adjust to available
    working memory. The less WM you need, the more
    effective your are likely to be.

49
Just Maybe
  • Maybe the BEST way to address this is to say that
    motivational components compete for working
    memory slots.

50
Are We Ready?
  • Are we ready to begin making explicit
    consideration of emotional factors in
    instructional design?
  • Should we design and undertake experiments akin
    to those undertaken by Sweller (and Mayer)?
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