Digital game based learning promise and pitfalls
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Digital Game-Based Learning: Promise and Pitfalls Presenters Marleigh Norton Project Manager, Massachusetts Institute of Technology Zoo Scene Investigators, Columbus Zoo & Aquarium and MIT David Schaller Principal, eduweb WolfQuest, Minnesota Zoo and NSF Walt Scacchi

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Presenters

  • Marleigh Norton

    Project Manager, Massachusetts Institute of Technology

    Zoo Scene Investigators, Columbus Zoo & Aquarium and MIT

  • David Schaller

    Principal, eduweb

    WolfQuest, Minnesota Zoo and NSF

  • Walt Scacchi

    Research Director, Game Culture and Technology Laboratory,

    University of California Irvine

    DinoQuest, Discovery Science Center and UCI


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Mapping Content to the Game

The Mechanics of Learning in a Game

Evaluation


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Mapping Content to the Game

Tactical Iraqi, Tactical Language and Training LLC


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Mapping Content to the Game

  • Promise

  • Games are good for

  • Modeling systems

  • Situational learning

  • Abstract concepts and facts

  • Safe space


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Mapping Content to the Game

  • Promise

  • Games are good for

  • Modeling systems

  • Situational learning

  • Abstract concepts and facts

  • Safe space

  • Pitfall

  • Misconceptions about the system

  • Not efficient for transmitting information?

  • Surrender of control


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The Mechanics of Learning

World of Warcraft, Blizzard Entertainment


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The Mechanics of Learning

Promise

  • Learning by doing

  • Education *is* the gameplay


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The Mechanics of Learning

Promise

  • Learning by doing

  • Education *is* the gameplay

    Pitfall

  • Going through the motions

  • Did they master the content or did they game the system?

  • Cheating


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Evaluation

Dance Dance Revolution, Konami


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Evaluation

Promise

  • We learn how students learn, what they learn, and why

  • Establish whether you met your goals


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Evaluation

Promise

  • We learn how students learn, what they learn, and why

  • Establish whether you met your goals

    Pitfall

  • How do you evaluate?

  • What do you do with the evaluation results?

  • If at first you do not succeed, do you give up?


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