Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned

Autor/inn/en	Babier, Aaron; Fernandes, Craig; Zhu, Ian Yihang
Titel	Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned
Quelle	In: INFORMS Transactions on Education, 23 (2023) 2, S.121-135 (15 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Babier, Aaron) ORCID (Fernandes, Craig) ORCID (Zhu, Ian Yihang)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Undergraduate Students; Student Projects; Data Analysis; Problem Solving; Statistics Education; Data Collection; Operations Research; Simulation; Active Learning + Suchen Sie Ihr Suchwort? Schulprojekt; Auswertung; Problemlösen; Data capture; Datensammlung; Simulation program; Simulationsprogramm; Aktives Lernen
Abstract	In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A designated project advisor helps each team refine its project and assesses the quality of the resulting work. In our analysis of 58 past projects, we show that students developed solutions for a wide range of topics by employing various methodologies. However, most teams encountered similar challenges that project advisors helped them overcome with tailored feedback. Based on feedback from 106 previous students, the project experience was largely positive and helped them prepare for their future careers. We believe that this type of hands-on project is conducive to the development of important data analytics skills. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01