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dc.contributor.authorJacobson, Michael J.
dc.contributor.authorTaylor, Charlotte E.
dc.contributor.authorRichards, Deborah
dc.date.accessioned2022-09-09T01:21:06Z
dc.date.available2022-09-09T01:21:06Z
dc.date.issued2015en_AU
dc.identifier.urihttps://hdl.handle.net/2123/29527
dc.description.abstractIn this paper, we propose computational scientific inquiry (CSI) as an innovative model for learning important scientific knowledge and new practices for “doing” science. This approach involves the use of a “game-like” virtual world for students to experience virtual biological fieldwork in conjunction with using an agent-based computer model to enable computational inquiry activities. After an overview of literature into learning about scientific inquiry and the use of virtual worlds and game-like systems for learning science, we provide a description of the technology systems we developed and the methods of the study. The results are reported of a two-week intervention involving the use of a CSI approach in two eighth-grade classes that found significant learning gains by students. The paper concludes with a discussion of the findings and a consideration of CSI more generally for learning important and difficult scientific knowledge and practices.en_AU
dc.language.isoenen_AU
dc.publisherTaylor & Francisen_AU
dc.rightsCreative Commons Attribution-NonCommercial 4.0en_AU
dc.subjectVirtual worldsen_AU
dc.subjectcomputer modelsen_AU
dc.subjectcomputational scientific inquiryen_AU
dc.subjectbiologyen_AU
dc.subjectproductive failureen_AU
dc.titleComputational scientific inquiry with virtual worlds and agent-based models: new ways of doing science to learn scienceen_AU
dc.typePreprinten_AU
dc.subject.asrc1301 Education Systemsen_AU
dc.subject.asrc1302 Curriculum and Pedagogyen_AU
dc.subject.asrc1303 Specialist Studies In Educationen_AU
dc.identifier.doihttps://doi.org/10.1080/10494820.2015.1079723
usyd.facultySeS faculties schools::Faculty of Arts and Social Sciencesen_AU
usyd.departmentCentre for Research on Learning and Innovationen_AU
workflow.metadata.onlyNoen_AU


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