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Autor/inn/enPfannkuch, Maxine; Budgett, Stephanie
TitelMarkov Processes: Exploring the Use of Dynamic Visualizations to Enhance Student Understanding
QuelleIn: Journal of Statistics Education, 24 (2016) 2, S.63-73 (11 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1069-1898
DOI10.1080/10691898.2016.1207404
SchlagwörterMarkov Processes; Introductory Courses; Mathematics Instruction; Probability; Visual Aids; Comprehension; College Freshmen; College Mathematics
AbstractFinding ways to enhance introductory students' understanding of probability ideas and theory is a goal of many first-year probability courses. In this article, we explore the potential of a prototype tool for Markov processes using dynamic visualizations to develop in students a deeper understanding of the equilibrium and hitting times distributions. From the literature and interviews with practitioners, we identified core probability concepts, problematic areas, and possible solutions from which we developed design principles for the tool and accompanying tasks. The tool and tasks were piloted on six introductory probability students using a two-person protocol. The main findings highlight that our tool and tasks seemed to assist students to engage with probability ideas, to develop some intuition for Markov processes, to enhance their distributional ideas, to work between representations, and to see structure within the mathematics representations. The implications for teaching and learning are discussed. (As Provided).
AnmerkungenTaylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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