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Tytuł pozycji:

Real-Time Visual Analytics: An Experiential Learning Activity for Undergraduates

Tytuł:
Real-Time Visual Analytics: An Experiential Learning Activity for Undergraduates
Autorzy:
Stephens, Paul
Young, Jacob
Deskryptory:
Data Analysis
Visualization
Experiential Learning
Learning Activities
Undergraduate Students
Fund Raising
Data Collection
Teaching Methods
Ethics
Język:
English
Źródło:
Information Systems Education Journal. Dec 2020 18(6):4-12.
Dostępność:
Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: ; Web site: http://isedj.org
Recenzowane naukowo:
Y
Page Count:
9
Data publikacji:
2020
Typ dokumentu:
Journal Articles
Reports - Descriptive
Education Level:
Higher Education
Postsecondary Education
ISSN:
1545-679X
Abstractor:
As Provided
Data wpisu:
2020
Numer akcesji:
EJ1258152
Czasopismo naukowe
We describe a "Day of Giving" university fundraising event that can be used to introduce data visualization to undergraduate students. The project involves integrating data sources, creating a Tableau data model, and designing a heat map that can be embedded into a front-end website. Our activity provides opportunities to discuss various technological concepts, such as: client/server networks, front end web development, backend database servers, database design, sources of data, data preparation and cleaning, data management, webhooks, real-time data collection, and visual analytics. For the purpose of this paper, we focus on concepts related to sources of data, real-time data collection, visual analytics, and webhooks, as well as security and ethics issues that arise from these activities. Additionally, we explain how instructors can choose to implement the activity as an exercise during a single class session or as a team project over a longer period. Both approaches provide students with experiential learning opportunities in data analytics. First, we outline fundamental concepts for instructors to introduce at the start of the activity. Second, we introduce the context for the activity, a heat map to display donation amounts by location in real-time. Third, we discuss the tools we used to feed data to the visualization. Fourth, we describe steps for instructors to follow to replicate the project. Lastly, we provide discussion points to explore security and ethics issues related to data analytics.

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