Electromagnetism Supercharged! Learning Physics with Digital Simulation Games

Learning scientists are increasingly turning to computer and video games as tools for learning. Simulation might not only motivate learners, but provide accessible ways for students to develop intuitive understandings of abstract physics phenomena. This study examines what learning occurs when an electromagnetism simulation game is used in a school for underserved students. Students in the experimental group performed better than students in the control group (guided discovery-based science) on measures for understanding. Game mechanics enabled students to confront weaknesses in understandings, and physics representations became tools for understanding problems. Implications for the design of educational digital media are discussed. Yet, it was also these very same game mechanics posed significant challenges in terms of student engagement, motivation, and learning of physics concepts.

[1]  N. Denzin,et al.  Handbook of Qualitative Research , 1994 .

[2]  Michael Leyton,et al.  Theory of Design , 2001 .

[3]  James Paul Gee,et al.  What video games have to teach us about learning and literacy , 2007, CIE.

[4]  Michael Barnett,et al.  Designed curriculum and local culture: Acknowledging the primacy of classroom culture , 2003 .

[5]  M. Lepper,et al.  Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. , 1996 .

[6]  Yoav Yair,et al.  3D-Virtual Reality in Science Education: An Implication for Astronomy Teaching , 2001 .

[7]  Ximena López,et al.  Beyond Nintendo: design and assessment of educational video games for first and second grade students , 2003, Comput. Educ..

[8]  Kurt Squire,et al.  Video games in education , 2003, Int. J. Intell. Games Simul..

[9]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[10]  Jenaro Guisasola,et al.  Difficulties in learning the concept of electric field , 1998 .

[11]  E. Guba,et al.  Competing paradigms in qualitative research. , 1994 .

[12]  Chris Dede,et al.  Multisensory Immersion as a Modeling Environment for Learning Complex Scientific Concepts , 1999 .

[13]  Thomas Andre,et al.  Are Conceptual Change Approaches to Learning Science Effective for Everyone? Gender, Prior Subject Matter Interest, and Learning about Electricity. , 1995 .

[14]  Wallace Feurzeig,et al.  Modeling and Simulation in Science and Mathematics Education , 1999, Modeling Dynamic Systems.

[15]  Bat-Sheva Eylon,et al.  From problem solving to a knowledge structure: An example from the domain of electromagnetism , 1997 .

[16]  Kurt Squire,et al.  Design Principles of Next-Generation Digital Gaming for Education. , 2003 .

[17]  J. Frederiksen,et al.  Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students , 1998 .

[18]  Abbie Brown,et al.  Design experiments: Theoretical and methodological challenges in creating complex interventions in c , 1992 .

[19]  A. McFarlane,et al.  Report on the educational use of games , 2002 .

[20]  James P. Shaver,et al.  Handbook of research on social studies teaching and learning , 1991 .

[21]  A. Strauss,et al.  The Discovery of Grounded Theory , 1967 .

[22]  Thomas Andre,et al.  Student Misconceptions, Declarative Knowledge, Stimulus Conditions, and Problem Solving in Basic Electricity. , 1991 .

[23]  Kenneth D. Forbus Using Qualitative Physics to Create Articulate Educational Software , 1997, IEEE Expert.

[24]  Roy D. Pea,et al.  Prospects for Scientific Visualization as an Educational Technology , 1995 .

[25]  Edward F. Redish,et al.  Implications of cognitive studies for teaching physics , 1994 .

[26]  GeeJames Paul What video games have to teach us about learning and literacy , 2003 .