Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/2230
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dc.contributor.authorBlikstein, Paulo
dc.date.accessioned2020-01-08T16:18:12Z
dc.date.accessioned2020-01-08T22:02:44Z-
dc.date.available2020-01-08T16:18:12Z
dc.date.available2020-01-08T22:02:44Z-
dc.date.issued2012-07
dc.identifier.citationBlikstein, P. (2012). Re-presenting Complex Scientific Phenomena Using Agent-Based Modeling in Engineering Education. In van Aalst, J., Thompson, K., Jacobson, M. J., & Reimann, P. (Eds.), The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) – Volume 1, Full Papers (pp. 387-394). Sydney, NSW, AUSTRALIA: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/icls2012.1.387
dc.identifier.urihttps://repository.isls.org//handle/1/2230-
dc.description.abstractA chronic problem in engineering education is that students' knowledge is superficial, fragmented, and ungenerative. I embark from the conjecture that these shortcomings result from cognitive discontinuity between intuitive forms of sense-making that deal with objects and actions and algebraic formulas traditionally used in this discipline. I propose and that a new form of representation, agent-based models, may offer greater cognitive continuity from sense-making to disciplinary knowledge. Study 1, an analysis of textbook content and lecturer practice, confirmed the cognitive-discontinuity conjecture by implicating the epistemic challenges of converting sense-making into formulas. Study 2 was a longitudinal evaluation of an agent-based, complementary curricular unit for materials science undergraduates. A micro-ethnographic case study of one student's progress through this unit documents the challenges and achievements of appropriating the agent based perspective as means of empowering sense-making.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences (ISLS)en_US
dc.titleRe-presenting Complex Scientific Phenomena Using Agent-Based Modeling in Engineering Educationen_US
dc.typeFull Papersen_US
Appears in Collections:ICLS 2012

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