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Flipping the Business Administration Classroom
Dalarna University, School of Technology and Business Studies, Business Administration and Management.ORCID iD: 0000-0003-2053-0220
2020 (English)In: Flipped Classrooms with Diverse Learners / [ed] Zachary Walker, Desiree Tan, Noi Keng Koh, Singapore: Springer Nature, 2020, p. 203-220Chapter in book (Refereed)
Abstract [en]

Research on the flipped classroom in business courses suggests that this approach can increase student involvement, task orientation and innovation as well as motivation and engagement. Even though research findings regarding impact on student grades differ, the overall outcomes of flipped classroom teaching seem to be encouraging. However, to reach these positive outcomes the flipped classroom needs to be carefully thought through and implemented.

Based on previous research findings and author’s personal experience of implementing the flipped classroom design in two business administration and management courses at Dalarna University in Sweden, this chapter presents some key thoughts to be considered when flipping the classes and provides some empirical examples of flipped classroom implementation.

In conclusion, the chapter suggests a) not covering everything in videos, but rather stimulate students’ curiosity for reading and participating in classes, b) considering carefully what shall be done prior the class and what can be done during the class, c) using the information from students’ pre-class activities to customize in-class activities, d) creating incentives for students’ participation in classes as participation seems to be important for development of higher level cognitive skills (applying, analysing, evaluating) which are the key skills of all business graduates.

Place, publisher, year, edition, pages
Singapore: Springer Nature, 2020. p. 203-220
Series
Springer Texts in Education, ISSN 2366-7672, E-ISSN 2366-7680
Keywords [en]
Flipped classroom, Business Administration and Management, Higher Education
National Category
Pedagogy Business Administration
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-34656DOI: 10.1007/978-981-15-4171-1ISBN: 978-981-15-4170-4 (print)ISBN: 978-981-15-4171-1 (electronic)OAI: oai:DiVA.org:du-34656DiVA, id: diva2:1456389
Available from: 2020-08-04 Created: 2020-08-04 Last updated: 2021-11-12Bibliographically approved

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Klimplová, Lenka

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf