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Article: The Design, Development, and Testing of Learning Supports for the Physics Playground Game

TitleThe Design, Development, and Testing of Learning Supports for the Physics Playground Game
Authors
KeywordsGame-based learning
Learning supports
Physics education
Physics playground
Stealth assessment
Issue Date2021
Citation
International Journal of Artificial Intelligence in Education, 2021, v. 31, n. 3, p. 357-379 How to Cite?
AbstractIn honor of Jim Greer, we share our recent work—a design and development study of various learning supports embedded within the game Physics Playground. This 2-dimensional computer game is designed to help students learn Newtonian physics and uses stealth assessment to measure, in real-time, their physics understanding. The game operates according to Newtonian mechanics where students draw simple machines (e.g., ramps, levers, pendulums, and springboards), or adjust sliders to manipulate physics parameters to solve problems. Over the past three years, a team of experts in measurement, assessment, learning sciences, game design, and physics education has iteratively examined how to enhance students’ learning during gameplay. We incorporated supports for both physics understanding and game mechanics. Some of our designs showed promise while others did not and were discarded. Through three usability studies and a final learning study, we document the design, development, and testing of the final set of supports that involve modeling (Worked Examples, Physics Videos), modality (Animations, Formulas, Definitions, Hewitt Videos), and advice (Hints). We conclude with a discussion of the impact of incorporating learning supports, students’ perceptions of the learning supports, and the lessons learned through our iterative process. Jim shared our passion for supporting student learning and we hope that by sharing our journey we spur others on to continue the work he loved.
Persistent Identifierhttp://hdl.handle.net/10722/318823
ISSN
2020 SCImago Journal Rankings: 0.926
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShute, Valerie J.-
dc.contributor.authorSmith, Ginny-
dc.contributor.authorKuba, Renata-
dc.contributor.authorDai, Chih Pu-
dc.contributor.authorRahimi, Seyedahmad-
dc.contributor.authorLiu, Zhichun-
dc.contributor.authorAlmond, Russell-
dc.date.accessioned2022-10-11T12:24:38Z-
dc.date.available2022-10-11T12:24:38Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Artificial Intelligence in Education, 2021, v. 31, n. 3, p. 357-379-
dc.identifier.issn1560-4292-
dc.identifier.urihttp://hdl.handle.net/10722/318823-
dc.description.abstractIn honor of Jim Greer, we share our recent work—a design and development study of various learning supports embedded within the game Physics Playground. This 2-dimensional computer game is designed to help students learn Newtonian physics and uses stealth assessment to measure, in real-time, their physics understanding. The game operates according to Newtonian mechanics where students draw simple machines (e.g., ramps, levers, pendulums, and springboards), or adjust sliders to manipulate physics parameters to solve problems. Over the past three years, a team of experts in measurement, assessment, learning sciences, game design, and physics education has iteratively examined how to enhance students’ learning during gameplay. We incorporated supports for both physics understanding and game mechanics. Some of our designs showed promise while others did not and were discarded. Through three usability studies and a final learning study, we document the design, development, and testing of the final set of supports that involve modeling (Worked Examples, Physics Videos), modality (Animations, Formulas, Definitions, Hewitt Videos), and advice (Hints). We conclude with a discussion of the impact of incorporating learning supports, students’ perceptions of the learning supports, and the lessons learned through our iterative process. Jim shared our passion for supporting student learning and we hope that by sharing our journey we spur others on to continue the work he loved.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Artificial Intelligence in Education-
dc.subjectGame-based learning-
dc.subjectLearning supports-
dc.subjectPhysics education-
dc.subjectPhysics playground-
dc.subjectStealth assessment-
dc.titleThe Design, Development, and Testing of Learning Supports for the Physics Playground Game-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s40593-020-00196-1-
dc.identifier.scopuseid_2-s2.0-85084196973-
dc.identifier.volume31-
dc.identifier.issue3-
dc.identifier.spage357-
dc.identifier.epage379-
dc.identifier.eissn1560-4306-
dc.identifier.isiWOS:000529322500001-

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