Itech seminar
Download
1 / 50

iTech Seminar - PowerPoint PPT Presentation


  • 107 Views
  • Uploaded on

iTech Seminar. David W. Brooks January 24, 2005. Today’s Goals. Describe ICML. Indicate what is known. Relate what is know (tenuously) to neural structures. Focus on what is NOT known. Speculate. Punch Line.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' iTech Seminar' - tierney-gaughan


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Itech seminar

iTech Seminar

David W. Brooks

January 24, 2005


Today s goals

Today’s Goals

Describe ICML.

Indicate what is known.

Relate what is know (tenuously) to neural structures.

Focus on what is NOT known.

Speculate.


Punch line

Punch Line

From an instructional design perspective, we don’t know as much about motivation as we know about working memory.

WM issues are becoming formulaic; motivation is still quite hit-or-miss.


Icml interactive compensatory model of learning
ICMLInteractive Compensatory Model of Learning


Icml reference
ICML Reference

http://dwb.unl.edu/Chau/CompMod.html


Interactive compensatory

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.


Icml interactive compensatory model of learning1
ICMLInteractive Compensatory Model of Learning


Best predictor

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 >80% of variance.


Shapiro paper

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.


Ability intelligence

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.


G and working memory

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.


Colom et al
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.


Design overview sme

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.


Design overview ibe

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).


Conflicts sme vs ibe
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).


The big puzzles
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


Study 1 zoo
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.


Study 2 ee
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)


Anecdote 1
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.


Teac vs edps
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.


Knowledge
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.


Ericsson
Ericsson

Ericsson’s 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.


Ericsson et al
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.


Hippocampus
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.


Genetic in utero
Genetic / in Utero

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


Hypothalamus
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


Locus of reward
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.


Locus
Locus

Immediate -- limbic system

Delayed -- cortex


Two approaches
Two Approaches

I’ve found two approaches in the literature from which to try to tackle this issue.

  • Self-efficacy (Bandura)

  • Emotional Design (Norman)


Self efficacy
Self-efficacy

Bandura introduces a concept, goal challenge.


Self efficacy1
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.


Emotional design
Emotional Design

Norman suggests that we perceive designs on three levels:

Visceral

Behavioral

Reflective


Interesting but
Interesting, but

While Norman’s discussions are interesting and bring up many issues, I think they beg a major point.

Learning is cyclic; today’s struggle is tomorrow's automaticity.


Best way
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.’


Zoo ee
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.


Evolution
Evolution

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


Cognitive load revisited
Cognitive Load Revisited

The notion of cognitive load sometimes is illustrated as follows.



Three suggestions
Three Suggestions

I make three suggestions of how to think about these issues.


Emotional load
Emotional Load

Add a factor called emotional load that takes up mental resources.

This would compete for working memory.


Change the mental resources
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.



Testable
Testable

It probably is possible to test among these possibilities.


Stress
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.


Cortex learning
Cortex Learning

Practice

Practice

Practice

Of course, that’s deliberate practice.


Ability
Ability

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


Just maybe
Just Maybe

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


Are we ready
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)?


ad