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Data Science

Teaching Experiential Data Analytics Using an Election Simulation

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Pages 273-285 | Published online: 28 Nov 2022

References

  • Breiman, L. (2001), “Statistical Modeling: The Two Cultures,” Statistical Science, 16, 199–215. http://www.jstor.org/stable/2676681.
  • Brynjolfsson, E., Hitt, L. M., and Kim, H. H. (2011), “Strength in Numbers: How Does Data-Driven Decision making Affect Firm Performance?,” April 22. DOI: 10.2139/ssrn.1819486.
  • Bulmer, M., and Haladyn, J. (2011), “Life on an Island: A Simulated Population to Support Student Projects in Statistics,” Technology Innovations in Statistics Education, 5, 1–21. DOI: 10.5070/T551000187.
  • College Transitions (2022), Available at https://www.collegetransitions.com/dataverse/top-colleges-data-science.
  • Data Science Programs (2022), Available at https://www.datascienceprograms.org/.
  • Giacomello, G., and Preka, O. (2020), “The “Social” Side of Big Data: Teaching BD Analytics to Political Science Students,” Big Data and Cognitive Computing, 4, 13. DOI: 10.3390/bdcc4020013.
  • Goh, T. T., and Sun, P. (2015), “Teaching Social Media Analytics: An Assessment Based on Natural Disaster Postings,” Journal of Information Systems Education, 26, 27–36. Available at http://jise.org/Volume 26/n1/JISEv26n1p27.html.
  • Hardin, J., Hoerl, R., Horton, N. J., Nolan, D., Baumer, B., Hall-Holt, O., Murrell, P., Peng, R., Roback, P., Lang, D. T., and Ward, M. D. (2015), “Data Science in Statistics Curricula: Preparing Students to ‘Think with Data,’” The American Statistician, 69, 343–353. DOI: 10.1080/00031305.2015.1077729.
  • Huang, C.-K., Wang, T., and Huang, T.-Y. (2020), “Initial Evidence on the Impact of Big Data Implementation on Firm Performance,” Information Systems Frontiers, 22, 475–487. DOI: 10.1007/s10796-018-9872-5.
  • Hyunjoo, O., and Polidan, M. (2018), “Retail Consulting Class: Experiential Learning Platform to Develop Future Retail Talents,” Journal of Marketing Education, 40, 31–46. DOI: 10.1177/0273475317743015.
  • Jaggia, S., Kelly, A., Lertwachara, K., and Chen, L. (2020), “Applying the CRISP-DM Framework for Teaching Business Analytics,” Decision Sciences Journal of Innovative Education, 18, 612–634. DOI: 10.1111/dsji.12222.
  • Jeyaraj, A. (2019), “Teaching Tip: Pedagogy for Business Analytics Courses,” Journal of Information Systems Education, 30, 67–83. Available at https://jise.org/Volume30/n2/JISEv30n2p67.html.
  • Keeton, M. T., and Tate, P. J. (1978), “The Boom in Experiential Learning,” in Learning by Experience: What, Why, How, eds. M. T. Keeton and P. J. Tate, pp. 1–8, San Francisco, CA: Jossey-Bass.
  • Krathwohl, D. R., and Anderson, L. W. (2010), “Merlin C. Wittrock and the Revision of Bloom’s Taxonomy,” Educational Psychologist, 45, 64–65. DOI: 10.1080/00461520903433562.
  • Kuiper, S., and Sturdivant, R. X. (2015), “Using Online Game-Based Simulations to Strengthen Students’ Understanding of Practical Statistical Issues in Real-World Data Analysis,” The American Statistician, 69, 354–361. DOI: 10.1080/00031305.2015.1075421.
  • Lesser, L. M., Wall, A. A., Carver, R. H., Pearl, D. K., Martin, N., Kuiper, S., Posner, M. A., Erickson, P., Liao, S.-M., Albert, J., and Weber, J. J. (2013), “Using Fun in the Statistics Classroom: An Exploratory Study of College Instructors’ Hesitations and Motivations,” Journal of Statistics Education, 21. DOI: 10.1080/10691898.2013.11889659.
  • Lim, J.-S., and Heinrichs, J. H. (2021), “Developing Context-Relevant Project Experiences for Marketing Analytics Students,” Decision Sciences Journal of Innovative Education 19, 150–156. DOI: 10.1111/dsji.12234.
  • National Academies of Sciences, Engineering and Medicine Consensus Report (2018), “Data Science for Undergraduates: Opportunities and Options,” Available at https://nas.edu/envisioningds.
  • Renz, A., and Hilbig, R. (2020), “Prerequisites for Artificial Intelligence in Further Education: Identification of Drivers, Barriers, and Business Models of Educational Technology Companies,” International Journal of Educational Technology in Higher Education, 17, 1–21. DOI: 10.1186/s41239-020-00193-3.
  • Saltz, J., Armour, F., and Sharda, R. (2018), “Data Science Roles and the Types of Data Science Programs,” Communications of the Association for Information Systems, 43, 615–624. DOI: 10.17705/1CAIS.04333.
  • Speier-Pero, C., and Schoenherr, T. (2020), “Creating Impactful Student Learning in a Business Analytics Program through Leveraging Scholar-Practitioner Engagement,” Decision Sciences Journal of Innovative Education, 18, 59–89. DOI: 10.1111/dsji.12198.
  • Stanton, W., and Stanton, A. (2020), “Helping Business Students Acquire the Skills Needed for a Career in Analytics: A Comprehensive Industry Assessment of Entry-Level Requirements,” Decision Sciences Journal of Innovative Education, 18, 138–165. DOI: 10.1111/dsji.12199.
  • Statista (2021), “Revenue from Big Data and Business Analytics Worldwide from 2015 to 2022,” Available at https://www.statista.com/statistics/551501/worldwide-big-data-business-analytics-revenue/.
  • US News and World Reports (2021a), “Best Business Analytics MBA Programs, Available at https://www.usnews.com/best-graduate-schools/top-business-schools/business-analytics-rankings.
  • US News and World Reports (2021b), “Best Undergraduate Data Science Programs,” Available at https://www.usnews.com/best-colleges/rankings/computer-science/data-analytics-science.
  • Wang, S., and Wang, H. (2019), “A Teaching Module of Database-Centric Online Analytical Process for MBA Business Analytics Programs,” Journal of Information Systems Education, 30, 19–26. Available at http://jise.org/Volume30/n1/JISEv30n1p19.html.
  • Weirich, T. R., Tschakert, N., and Kozlowski, S. (2017), “Teaching Data Analytics using ACL,” Journal of Emerging Technologies in Accounting, 14, 83–89. DOI: 10.2308/jeta-51895.
  • Williams, B., and Elmore, R. (2021), “Teaching Business Analytics during the COVID-19 Pandemic: A Tale of Two Courses,” Communications of the Association for Information Systems, 48, 32–39. DOI: 10.17705/1cais.04805.
  • Yan, D., and Davis, G. E. (2019), “A First Course in Data Science,” Journal of Statistics Education, 27, 99–109. 1623136. DOI: 10.1080/10691898.2019.
  • Yazici, H. (2020), “Project-Based Learning for Teaching Business Analytics in the Undergraduate Curriculum,” Decision Sciences Journal of Innovative Education, 18, 589–611. DOI: 10.1111/dsji.12219.