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Motivation and Analytics: Comparing Business and Engineering Students

Scala, Natalie M. and Tomasi, Stella and Goncher, Andrea and Bursic, Karen (2018) Motivation and Analytics: Comparing Business and Engineering Students. INFORMS Transactions on Education, 19 (1). pp. 1-55. ISSN 1532-0545

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Data analytics is a foundational topic for engineering as well as business students given its importance in subsequent coursework and curriculum. Many common, interdisciplinary analytical topics exist between the engineering and business fields; undergraduate students may approach learning those topics in various ways depending on program or major. This research examines differences in performance on analytics between engineering and business students that may be explained by differences in motivation and attitude. We use a survey and a lecture on trendlines with a common homework assignment to compare the two groups of students. Instructors of an engineering and a business course that incorporate analytics gave the same lecture on the use of spreadsheets to analyze trendline data, assigned the same individual homework assignment, and administered an end-of-module survey. The survey was built from the established MUSIC® Model of Academic Motivation. Analysis of the student data will address differences in motivation and how the program or major impacts student perception of analytical problem solving and contributes to performance on related assignments. We discuss quantitative and qualitative differences between engineering and business majors, concluding with a discussion of future work and some strategies for educators to use when teaching analytics.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Scala, Natalie M.0000-0003-2851-134X
Tomasi, Stella
Goncher, Andrea0000-0002-1913-408X
Bursic, Karenkbursic@pitt.edukbursic0000-0003-1438-9072
Date: September 2018
Date Type: Publication
Journal or Publication Title: INFORMS Transactions on Education
Volume: 19
Number: 1
Page Range: pp. 1-55
DOI or Unique Handle: 10.1287/ited.2017.0187
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: Yes
Uncontrolled Keywords: developing analytical skills interdisciplinary teaching spreadsheet modeling teaching engineering teaching with technology
ISSN: 1532-0545
Article Type: Research Article
Additional Information: “INFORMS Transaction on Education. Copyright©2017 The Author(s)., used under a Creative Commons Attribution License:”
Date Deposited: 17 Sep 2021 16:41
Last Modified: 17 Sep 2021 16:41


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