Difference between revisions of "IPL Instructional Principles"

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(In vivo experiment support)
 
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==Description of principle==
 
==Description of principle==
 
===Operational definition===
 
===Operational definition===
Students should attempt to rank alternatives in an [[invention task]] by [[comparing sets]] of [[contrasting cases]], before receiving direct instruction and practice.
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Students should attempt to rank alternatives in an [[invention task]] by [[comparing sets]] of contrasting cases, before receiving direct instruction and practice.
  
 
===Examples===
 
===Examples===
The following example is a [[preparation for future learning]] about variance
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The following example is an [[invention task]] using [[comparing sets|set comparison]] as a preparation for learning about variance
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NASA is about to launch its latest weather satellite to space, with the goal of monitoring global warming.
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In order to put a satellite in orbit, it is being sent to space on a rocket. The rocket releases the satellite when it reaches it highest peak.
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NASA considers three rockets for this task: Fly-I, Orbitter, and Icarus. Each rocket was tested 4-5 times. At this point NASA wants to choose one rocket for further development.
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While the amount of fuel may not be the right one (that is, perhaps more or less fuel was needed), it was identical in all trials. This means that at this point NASA does not care about the absolute height, since the amount of fuel will need to be adjusted. But NASA does care about the ability to predict what height the rocket will reach –  that it, how consistent the rocket is. A consistent rocket arrives at the same height every time.
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Which rocket would you recommend?
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The following graphs show the height the rockets reached during testing, relative to the desired height:
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[[Image:NASA task.jpg]]
  
 
==Experimental support==
 
==Experimental support==
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==Conditions of application==
 
==Conditions of application==
Several conditions are being investigated in the current [[IPL]] study
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Several conditions are being investigated in the current [[Roll IPL|IPL]] study, namely:
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- The need for design in the invention process
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- The need for debugging in the invention process
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It is being hypothesizes, though has not been tested empirically yet, that the [[comparing sets|set comparison]] tasks should use contrasting cases and not isomorphic cases.
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==Caveats, limitations, open issues, or dissenting views==
 
==Caveats, limitations, open issues, or dissenting views==
 
Several researchers object any form of discovery activity, and argue that [[direct instruction]] is always the superior alternative (Kirschner, P.A., Sweller, J., & Clark, J.E., 2004)
 
Several researchers object any form of discovery activity, and argue that [[direct instruction]] is always the superior alternative (Kirschner, P.A., Sweller, J., & Clark, J.E., 2004)
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[[Category:Glossary]]
 
[[Category:Glossary]]
 
[[Category:Instructional Principle]]
 
[[Category:Instructional Principle]]
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[[Category:Protected]]

Latest revision as of 18:40, 9 April 2008

Brief statement of principle

Asking student to invent solutions to carefully designed challenges prior to receiving instruction can promote learning from subsequent instruction.

Description of principle

Operational definition

Students should attempt to rank alternatives in an invention task by comparing sets of contrasting cases, before receiving direct instruction and practice.

Examples

The following example is an invention task using set comparison as a preparation for learning about variance


NASA is about to launch its latest weather satellite to space, with the goal of monitoring global warming. In order to put a satellite in orbit, it is being sent to space on a rocket. The rocket releases the satellite when it reaches it highest peak. NASA considers three rockets for this task: Fly-I, Orbitter, and Icarus. Each rocket was tested 4-5 times. At this point NASA wants to choose one rocket for further development.

While the amount of fuel may not be the right one (that is, perhaps more or less fuel was needed), it was identical in all trials. This means that at this point NASA does not care about the absolute height, since the amount of fuel will need to be adjusted. But NASA does care about the ability to predict what height the rocket will reach – that it, how consistent the rocket is. A consistent rocket arrives at the same height every time.

Which rocket would you recommend?

The following graphs show the height the rockets reached during testing, relative to the desired height:

NASA task.jpg

Experimental support

Laboratory experiment support

In vivo experiment support

Schwartz & Martin (2004) found that IPL activities help students learn from subsequent instruction. Roll, Aleven, Schwartz and Koedinger are currently carrying out another classroom study on the topic.

Theoretical rationale

(These entries should link to one or more learning processes.)

Conditions of application

Several conditions are being investigated in the current IPL study, namely: - The need for design in the invention process - The need for debugging in the invention process

It is being hypothesizes, though has not been tested empirically yet, that the set comparison tasks should use contrasting cases and not isomorphic cases.

Caveats, limitations, open issues, or dissenting views

Several researchers object any form of discovery activity, and argue that direct instruction is always the superior alternative (Kirschner, P.A., Sweller, J., & Clark, J.E., 2004)

Variations (descendants)

Generalizations (ascendants)

References

  • Kirschner, P.A., Sweller, J., & Clark, J.E. (2004). Why minimal guidance during instruction does not

work: An analysis of the failure of constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching. Educational Psychologist, 41(2), 75–86.

  • Schwartz, D. L., & Martin, T. Inventing to Prepare for Future Learning:

The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22(2), 2004, pp. 129-184