Your Turn Greg Niemeyer Associate Professor for New Media University of California at Berkeley.

Your Turn

Greg NiemeyerAssociate Professor for New MediaUniversity of California at Berkeley

Berkeley 94720CoopID/WBAN,Station Name,State,Year,Month,MMXT,MMNT,MNTM,DPNT,HTDD,CLDD,EMXT,High Date,EMNT,Low Date,DT90,DX32,DT32,DT00,TPCP,DPNP,EMXP,Greatest Observed Date,TSNW,MXSD,Max Date,DP01,DP05,DP10040693/99999,BERKELEY,California,2005,1,54.5,41.4,48.0,-2.0,522,0,60,31,38,23,0,0,0,0,4.33,-0.80,0.90,2,0.0,0, ,10,4,0040693/99999,BERKELEY,California,2005,2,60.5,48.3,54.4,1.7,293,0,69,2,42,6,0,0,0,0,4.39,-0.36,1.14,15,0.0,0, ,9,3,1040693/99999,BERKELEY,California,2005,3,65.1,48.5,56.8,2.6,253,6,84,12,41,30,0,0,0,0,4.79,0.71,1.25,22,0.0,0, ,10,3,1040693/99999,BERKELEY,California,2005,4,66.8,47.0,56.9,0.6,236,0,74,23,41,13,0,0,0,0,2.17,0.54,0.64,8,0.0,0, ,5,2,0040693/99999,BERKELEY,California,2005,5,69.7,51.9,60.8,1.8,124,3,81,25,46,10,0,0,0,0,1.84,1.23,0.61,8,0.0,0, ,5,1,0040693/99999,BERKELEY,California,2005,6,73.4,52.8,63.1,1.5,64,15,85,14,46,7,0,0,0,0,1.06,0.92,0.44,8,0.0,0, ,3,0,0040693/99999,BERKELEY,California,2005,7,75.5,54.1,64.8,2.0,29,30,92,24,52,26,1,0,0,0,0.00,-0.07,0.00,31,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2005,8,73.2,52.9,63.1,-0.1,67,14,88,31,50,28,0,0,0,0,0.00,-0.10,0.00,31,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2005,9,72.4,52.1,62.3,-1.5,98,21,88,1,48,25,0,0,0,0,0.00T,-0.36,0.00,30,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2005,10,70.6,50.4,60.5,-1.3,142,10,86,1,45,30,0,0,0,0,0.45,-0.92,0.16,26,0.0,0, ,2,0,0040693/99999,BERKELEY,California,2005,11,66.1,48.4,57.3,2.2,224,0,76,19,38,27,0,0,0,0,2.32,-1.30,0.84,7,0.0,0, ,6,2,0040693/99999,BERKELEY,California,2005,12,M,M,M,M,M,M,60,20,39,16,0,0,0,0,13.49,9.95,2.84,18,0.0,0, ,12,8,5040693/99999,BERKELEY,California,2005,Annual,M,M,M,M,M,M,92,Jul,38,Nov,1,0,0,0,34.84,9.44,2.84,Dec,0.0,0,,62,23,7040693/99999,BERKELEY,California,2006,1,57.8X,43.4X,50.6X,0.6,438B,0B,66,5,38,15,0,0,0,0,4.03,-1.10,0.69,14,0.0X,0, ,10,3,0040693/99999,BERKELEY,California,2006,2,61.2,44.5,52.9,0.2,330,0,73,10,35,20,0,0,0,0,3.23,-1.52,1.67,27,0.0,0, ,6,2,1040693/99999,BERKELEY,California,2006,3,57.9,43.3,50.6,-3.6,439,0,66,24,35,11,0,0,0,0,9.42,5.34,1.25,5,0.0,0, ,20,7,2040693/99999,BERKELEY,California,2006,4,62.9,48.1,55.5,-0.8,278,0,74,28,40,17,0,0,0,0,5.32,3.69,0.90,11,0.0,0, ,11,4,0040693/99999,BERKELEY,California,2006,5,71.8,50.4,61.1,2.1,126,13,90,15,47,29,1,0,0,0,0.52,-0.09,0.26,21,0.0,0, ,2,0,0040693/99999,BERKELEY,California,2006,6,75.7,53.9,64.8,3.2,44,46,93,22,50,19,2,0,0,0,0.00,-0.14,0.00,30,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2006,7,78.0,54.6,66.3,3.5,29,79,99,23,49,7,2,0,0,0,0.00,-0.07,0.00,31,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2006,8,73.0,53.3,63.2,0.0,64,16,92,10,50,22,1,0,0,0,0.00,-0.10,0.00,31,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2006,9,74.6,51.0,62.8,-1.0,91,29,89,26,46,15,0,0,0,0,0.00,-0.36,0.00,30,0.0,0, ,0,0,0040693/99999,BERKELEY,California,2006,10,72.5,49.9,61.2,-0.6,121,11,85,22,45,25,0,0,0,0,0.61,-0.76,0.52,5,0.0,0, ,1,1,0040693/99999,BERKELEY,California,2006,11,64.4,46.3,55.4,0.3,283,0,76,7,37,28,0,0,0,0,2.05,-1.57,0.93,14,0.0,0, ,4,1,0040693/99999,BERKELEY,California,2006,12,59.7,41.7,50.7,0.5,436,0,70,6,33,19,0,0,0,0,4.53,0.99,1.46,12,0.0,0, ,7,5,1040693/99999,BERKELEY,California,2006,Annual,67.5X,48.4X,57.9X,0.4,2679,194,99,Jul,33,Dec,6,0,0,0,29.71,4.31,1.67,Feb,0.0X,0,,61,23,4040693/99999,BERKELEY,California,2007,1,58.9,38.9,48.9,-1.1,490,0,68,10,29,13,0,0,3,0,1.00,-4.13,0.31,4,0.0,0, ,4,0,0040693/99999,BERKELEY,California,2007,2,61.1,43.5,52.3,-0.4,348,0,77,18,34,28,0,0,0,0,5.79,1.04,1.41,10,0.0,0, ,10,5,1040693/99999,BERKELEY,California,2007,3,67.5,45.0,56.3,2.1,268,3,82,13,37,1,0,0,0,0,0.64,-3.44,0.39,20,0.0,0, ,2,0,0040693/99999,BERKELEY,California,2007,4,67.5,44.9,56.2,-0.1,259,1,81,28,38,18,0,0,0,0,1.56,-0.07,0.42,14,0.0,0, ,5,0,0040693/99999,BERKELEY,California,2007,5,70.6,48.1,59.4,0.4,193,25,91,8,43,12,1,0,0,0,0.59,-0.02,0.31,2,0.0,0, ,2,0,0

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Los Angeles

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Gears of War, Epic Games, 2006

Lights OnLights On

TextTextSunsetSunset

GasGas

ConversationConversation

CorkscrewCorkscrew

DishesDishes

Lights OnLights On


GasGas


CorkscrewCorkscrew

DishesDishes

ActionAction

ParticipationParticipation

TransformationTransformation

Imagination“One interesting line of research that exemplifies these points is Glenberg et al. This study describes an experiment in which young children read a passage and manipulate plastic figures so that they can portray the actions and relationships in the passage. By manipulating the figures, the children get a structured, embodied experience with a clear goal (portray the action in the text). After some practice doing this, the children were asked to simply imagine manipulating the figures. This is a request to engage in simulation in their heads. As a posttest, the children read a final passage without any prompting. Children who completed the sequence of embodied experience then simulation were better at remembering and drawing inferences about the new passage, as compared to children who received no training. They were better as well, compared to children who were instructed to only imagine the passage. And, most interestingly, they were better compared to children who manipulated the figures without the intermediate instructions to imagine manipulating. Encouraging simulation through the initial use of physical enactment helped the children learn a new reading comprehension strategy, namely a strategy whereby they called on their experiences in the world to build simulations for understanding a text in specific ways. “

Gee, James Paul. “Learning and Games." The Ecology of Games: Connecting Youth, Games, and Learning. Edited by Katie Salen. The John D. and Catherine T. MacArthur Foundation Series on Digital Media and Learning. Cambridge, MA: The MIT Press, 2008. 21–40. doi: 10.1162/dmal.9780262693646.021

4 Game Elements

Game Assets: Interface, Characters, Drama

Players: Present, Past (Hi-Scores)

Rules: Implicit, Explicit

Game Engine: Turns, AI

5 Game Conditions

Free

Separated by Magic Circle

Rule-based

Non-productive Abstract

Limited in time and space Mixed

After Caillois, Roger. Man, Play and Games. University of Illinois Press, 1961

5 Game Parameters

Learning: How easy to start?

Mastery: How significant is success

Replay: How many play again?

Spread: How many show others?

Modding: Other ways to play?

After Caillois, Roger. Man, Play and Games. University of Illinois Press, 1961

5 Game DynamicsGameplay: models of large and small dramatic processes with objectives

Interaction: Game and Player change each other

Feedback: High rate of outcomes

Competition: Sportsmanship, Gamesmanship

Imagination: Identification with game machine, game and role

What I could never figure What I could never figure out, even with helpout, even with help

What I could What I could figure out with figure out with

some helpsome help

What I What I alreadalready knowy know

ActivityActivity

ActionAction

MediaMedia

SubjectSubject ObjectObject

CommunitCommunityy

RulesRules LaborLabor

Embodiment

Bodies are time-sensitive

Information is time-sensitive

Action is time-sensitive

How long does it take the body to acquire information and how long does it take the body to then take informed action?

Game-Based Learning

Games are models of reality

Models train prediction

To know is to predict

Learning is training prediction

Games equal learning

Lights OnLights On


GasGas


CorkscrewCorkscrew

DishesDishes

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Prediction:Prediction:Your TurnYour Turn

Game Design

To create a model of the process you wish students to learn predict

To include in that model dramatic motivations so students want to predict outcomes

To include adaptive elements, choices

Your Turn Greg Niemeyer Associate Professor for New Media University of California at Berkeley.

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