Literaturnachweis - Detailanzeige
Autor/inn/en | dos Santos Ferreira, Robson; Kataoka, Verônica Yumi; Karrer, Monica |
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Titel | Teaching Probability with the Support of the R Statistical Software |
Quelle | In: Statistics Education Research Journal, 13 (2014) 2, S.132-147 (16 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1570-1824 |
Schlagwörter | Probability; Statistics; Courseware; High School Students; Constructivism (Learning); Concept Teaching; Student Improvement; Computer Simulation; Technology Uses in Education; Teaching Methods; Task Analysis; Thinking Skills; Decision Making Skills; Educational Practices; Educational Experiments; Science Activities; Foreign Countries; Brazil Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Statistik; Lernsoftware; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Computergrafik; Computersimulation; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Teaching method; Lehrmethode; Unterrichtsmethode; Aufgabenanalyse; Denkfähigkeit; Bildungspraxis; Schulversuch; Ausland; Brasilien |
Abstract | The objective of this paper is to discuss aspects of high school students' learning of probability in a context where they are supported by the statistical software R. We report on the application of a teaching experiment, constructed using the perspective of Gal's probabilistic literacy and Papert's constructionism. The results show improvement in students' learning of basic concepts, such as: random experiment, estimation of probabilities, and calculation of probabilities using a tree diagram. The use of R allowed students to extend their reasoning beyond that developed from paper-and-pencil approaches, since it made it possible for them to work with a larger number of simulations, and go beyond the standard equiprobability assumption in coin tosses. (As Provided). |
Anmerkungen | International Association for Statistics Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: http://www.stat.auckland.ac.nz/~iase/serj |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |