IDEAS home Printed from https://ideas.repec.org/a/inm/orited/v20y2020i3p125-133.html
   My bibliography  Save this article

Using the Learning Assistant Model in an Undergraduate Business Analytics Course

Author

Listed:
  • Matthew D. Dean

    (Raymond A. Mason School of Business, College of William & Mary, Williamsburg, Virginia 23187)

Abstract

Undergraduate business students, like many other undergraduate majors, are often apprehensive about the quantitative courses required to earn their degree. Active learning methods, including flipped classrooms, have been studied as approaches to mitigate these fears among students. With our overarching goal of helping students improve their understanding of quantitative business concepts, we implemented a novel active learning method called the Learning Assistant model. Using an experimental design holding the instructor and the student assessments constant, we report the results of the first-known implementation of this technique in a business course. As indicated by the change in the students’ final numerical grades, this pedagogical technique shows promise in helping students master the material better than those who took the course in a traditional lecture-based learning environment.

Suggested Citation

  • Matthew D. Dean, 2020. "Using the Learning Assistant Model in an Undergraduate Business Analytics Course," INFORMS Transactions on Education, INFORMS, vol. 20(3), pages 125-133, May.
    • Handle: RePEc:inm:orited:v:20:y:2020:i:3:p:125-133
    DOI: 10.1287/ited.2019.0221
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/ited.2019.0221
    Download Restriction: no
    File URL: https://libkey.io/10.1287/ited.2019.0221?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Coleen R. Wilder & Ceyhun O. Ozgur, 2015. "Business Analytics Curriculum for Undergraduate Majors," INFORMS Transactions on Education, INFORMS, vol. 15(2), pages 180-187, January.
    2. Natalie M. Scala & Stella Tomasi & Andrea Goncher & Karen M. Bursic, 2018. "Motivation and Analytics: Comparing Business and Engineering Students," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 1-11, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lisa Beck-Werz & Bernd Frick & Thomas Fritz & Fabian Lensing, 2022. "Understanding the impact of gender and migration on high-ability students’ behavior: Exploring behavioral differences in business, law, and engineering students throughout their academic careers," Working Papers Dissertations 83, Paderborn University, Faculty of Business Administration and Economics.
    2. Wendy Swenson Roth & Brett P. Matherne, 2023. "Case Article—Using Moneyball to Introduce Students to Data Analytics: Illustrating the Data Analytics Life Cycle," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 1-5, September.
    3. Danny Weathers & Scott D. Swain, 2024. "A scaffolded learning approach to increasing student comfort with Microsoft Excel," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 198-208, June.
    4. Matthew J. Drake, 2024. "Case Article—Creating a Brick Empire Through Data Visualization and Analytics," INFORMS Transactions on Education, INFORMS, vol. 24(3), pages 271-277, May.
    5. Jing Lu, 2020. "Data Analytics Research-Informed Teaching in a Digital Technologies Curriculum," INFORMS Transactions on Education, INFORMS, vol. 20(2), pages 57-72, January.
    6. Kala C. Seal & Linda A. Leon & Zbigniew H. Przasnyski & Greg Lontok, 2020. "Delivering Business Analytics Competencies and Skills: A Supply Side Assessment," Interfaces, INFORMS, vol. 50(4), pages 239-254, July.
    7. Cheri Speier-Pero, 2018. "Leveraging Experiential Field Projects—Discovery Learning in a Masters in Analytics Program," INFORMS Transactions on Education, INFORMS, vol. 18(3), pages 162-173, May.
    8. Stacey Vaziri & Baback Vaziri & Luis J. Novoa & Elham Torabi, 2022. "Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach," INFORMS Transactions on Education, INFORMS, vol. 22(2), pages 121-129, January.
    9. Paula Carroll, 2023. "Analytics Modules for Business Students," SN Operations Research Forum, Springer, vol. 4(2), pages 1-20, June.
    10. Lee, W. Eric & Perdana, Arif, 2023. "Effects of experiential service learning in improving community engagement perception, sustainability awareness, and data analytics competency," Journal of Accounting Education, Elsevier, vol. 62(C).
    11. Thomas Schulz & Heiko Gewald & Markus Böhm & Helmut Krcmar, 2023. "Smart Mobility: Contradictions in Value Co-Creation," Information Systems Frontiers, Springer, vol. 25(3), pages 1125-1145, June.
    12. Natalie M. Scala & Stella Tomasi & Andrea Goncher & Karen M. Bursic, 2018. "Motivation and Analytics: Comparing Business and Engineering Students," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 1-11, September.
    13. Aaron Babier & Craig Fernandes & Ian Yihang Zhu, 2023. "Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 121-135, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orited:v:20:y:2020:i:3:p:125-133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.