Modeling Games in the K-12 Science Classroom

Digitalgamescanbeusedasaproductiveandengagingmediumtofosterscientificexpertiseandhave shownpromiseinsupportingtheco-developmentofscientificconceptsandrepresentationalpractices. This study focuses on the integration of a disciplinarily-integrated game, SURGE NextG, with complementarymodel-basedactivitiestosupportthedevelopmentofscientificmodelinginNewtonian mechanics.Twopedagogicalapproachesweredesigned.Studentsinbothapproachesmodeledthe motionofanobjectinsideandoutsidethegameenvironment.Oneapproachinvolvedthematerial integrationofvirtualgameplaythroughaphysicalmodelingactivityintheclassroom.Thesecond approachinvolvedacomplementarymodelingtoolusinganagent-basedcomputationalprogramming platform.Whilebothmodelingactivitiesdemonstratedaffordancestosupportproductivestudent learning,thisstudyhighlightsthesignificanceofdesigningmultiplecomplementaryrepresentations ofthesamephenomenonasacoreelementofgameplayandrelatedmodelingactivities. KeywoRdS Computational Modeling, Digital Games for Learning, Disciplinarily Integrated Games, Physics Education, Science Education, Scientific Modeling

[1]  Andra A. DiSessa Inventing Graphing: Meta­ Representational Expertise in Children , 1991 .

[2]  David Hammer,et al.  Dynaturtle Revisited: Learning Physics Through Collaborative Design of a Computer Model , 1993, Interact. Learn. Environ..

[3]  Pratim Sengupta,et al.  Learning kinematics in elementary grades using agent-based computational modeling: a visual programming-based approach , 2012, IDC '12.

[4]  Douglas B. Clark,et al.  Disciplinary integration of digital games for science learning , 2015, International Journal of STEM Education.

[5]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[6]  Katie Salen The ecology of games : connecting youth, games, and learning , 2008 .

[7]  Ronald N. Giere,et al.  Using Models to Represent Reality , 1999 .

[8]  Orit Parnafes What Does “Fast” Mean? Understanding the Physical World Through Computational Representations , 2007 .

[9]  Mason Wright,et al.  Programming in K-12 science classrooms , 2015, Commun. ACM.

[10]  Nancy J. Nersessian,et al.  Model-Based Reasoning in Conceptual Change , 1999 .

[11]  Richard Lehrer,et al.  What Kind of Explanation is a Model , 2010 .

[12]  Pratim Sengupta,et al.  Playing Modeling Games in the Science Classroom: The Case for Disciplinary Integration , 2016, 1607.05094.

[13]  Richard Lesh,et al.  Beyond Constructivism: Models and Modeling Perspectives on Mathematics Problem Solving, Learning, and Teaching , 2003 .

[14]  Pratim Sengupta,et al.  Toward a Phenomenology of Computational Thinking in STEM Education , 2018 .

[15]  Lillian C. McDermott,et al.  Student difficulties in connecting graphs and physics: Examples from kinematics , 1987 .

[16]  Richard Lehrer,et al.  Grounding Metaphors and Inscriptional Resonance: Children's Emerging Understanding of Mathematical Similarity , 2002 .

[17]  Joshua A. Danish Applying an Activity Theory Lens to Designing Instruction for Learning About the Structure, Behavior, and Function of a Honeybee System , 2014 .

[18]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[19]  Douglas B. Clark,et al.  Games, Learning, and Society: Prediction and Explanation as Design Mechanics in Conceptually Integrated Digital Games to Help Players Articulate the Tacit Understandings They Build through Game Play , 2012 .

[20]  Douglas B. Clark,et al.  Disciplinarily-Integrated Games: Generalizing Across Domains and Model Types , 2016 .

[21]  Richard Lehrer,et al.  Symbolizing Space into Being , 2002 .

[22]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[23]  Douglas B. Clark,et al.  Digital Games as Multirepresentational Environments for Science Learning: Implications for Theory, Research, and Design , 2015 .

[24]  Douglas B. Clark,et al.  The Design of Disciplinarily-Integrated Games as Multirepresentational Systems , 2017, Int. J. Gaming Comput. Mediat. Simulations.

[25]  Dewey I. Dykstra,et al.  Conceptual development about motion and force in elementary and middle school students , 2009 .

[26]  Mason Wright,et al.  From Agents to Continuous Change via Aesthetics: Learning Mechanics with Visual Agent-based Computational Modeling , 2012, Technol. Knowl. Learn..

[27]  Ibrahim A. Halloun,et al.  Common sense concepts about motion , 1985 .

[28]  Gautam Biswas,et al.  Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework , 2013, Education and Information Technologies.

[29]  Pratim Sengupta,et al.  Perspectival Computational Thinking for Learning Physics: A Case Study of Collaborative Agent- Based Modeling , 2014, ICLS.