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Navigating in a new pedagogical landscape with an introductory course in applied statistics.
University West, Department of Economics and IT, Divison of Law, Economics, Statistics and Politics. (LINA)ORCID iD: 0000-0002-0575-4309
University West, Department of Economics and IT, Divison of Informatics. (LINA)ORCID iD: 0000-0002-4333-0371
University West, Department of Economics and IT, Divison of Informatics. (LINA)ORCID iD: 0000-0001-9094-4125
2014 (English)In: Topics from Australian Conferences on Teaching Statistics: OZCOTS 2008-2012 / [ed] MacGillivray, H., Martin, M., and Phillips, B, New York: Springer , 2014, p. 119-148Chapter in book (Refereed)
Abstract [en]

During the last few decades, a great deal of effort has been put into improving statistical education, focusing on how students learn statistics and how we as teachers can find effective ways to help them. At the same time the use of computers, the Internet, and learning management systems has grown rapidly, and offers new educational possibilities. In this chapter, we will discuss how these changes in the pedagogical landscape have affected our introductory course in applied statistics. The course and teaching context are presented in relation to guidelines for assessment and instruction in statistics and to seven principles for effective teaching. Teaching strategies, course content, and examples of course material are included. Furthermore, results from evaluations are discussed, especially focusing on diversity in student characteristics. These results indicate a variation in learning styles both between and within groups. Finally, we present some of our ideas for future development including strategies for individualization and the use of educational mining.

Place, publisher, year, edition, pages
New York: Springer , 2014. p. 119-148
Series
Springer Proceedings in Mathematics & Statistics, ISSN 2194-1009 ; 81
Keywords [en]
Statistics, WIL, Work-integrated Learning
Keywords [sv]
Statistik, AIL
National Category
Other Social Sciences
Research subject
SOCIAL SCIENCE, Informatics; Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-6616DOI: 10.1007/978-1-4939-0603-1_8Scopus ID: 2-s2.0-84943239658Libris ID: AbstraktISBN: 978-1-4939-0602-4 (print)ISBN: 978-1-4939-0603-1 (print)OAI: oai:DiVA.org:hv-6616DiVA, id: diva2:745853
Available from: 2014-09-11 Created: 2014-09-11 Last updated: 2016-06-01Bibliographically approved

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Publisher's full textScopushttp://link.springer.com/chapter/10.1007/978-1-4939-0603-1_8

Authority records BETA

Gellerstedt, MartinSvensson, LarsÖstlund, Christian

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