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
Abstract
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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Details
| Item Type: |
Article
|
| Status: |
Published |
| Creators/Authors: |
|
| 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). https://doi.org/10.1287/ited.2017.0187, used under a Creative Commons Attribution License: https://creativecommons.org/licenses/by-nc-nd/4.0/.” |
| Date Deposited: |
17 Sep 2021 16:41 |
| Last Modified: |
17 Sep 2021 16:41 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/41806 |
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