Data visualization projects aim to use data to make visual arguments that display, often in an interactive format, relationships between data points.
Learning objectives are clearly defined statements of expected goals and outcomes from the student perspective. When a student finishes an activity or a lesson, what will they know, articulate, or be able to do?
Every digital pedagogy project should have learning objectives. Here are a few tips for creating student-centered objectives:
Getting started: try Bloom's Taxonomy Action Verbs for sample action verbs to use in learning objectives.
Students will be able to...
compare how organizations with different biases and agendas visualize the same data differently, and they will be able to articulate the effects on the consumer.
analyze a given data set and choose effective, ethical graphic representations to make a visual argument.
Tableau - a user-friendly software application used to create static or interactive visualizations and dashboards.
UNC students and instructors can get a Tableau license for educational purposes. See the Research Hub events calendar for upcoming Tableau workshops
Excel - a user-friendly software application used to create static or interactive visualizations and dashboards.
Students can download the Microsoft Suite for free through the ITS Software Acquisition site. See the Research Hub events calendar for upcoming workshops on working with data in Excel.
R and Python - R and Python are free programming languages that can create reproducable data visualizations using large amounts of data.
See the Research Hub events calendar for upcoming workshops on R and Python.
Piktochart - a free, user-friendly online tool for creating infographics, diagrams, and other graphics.
Icon "chart" by ghufronagustian from the Noun Project
Sample projects coming soon!
To get started with digital pedagogy and lesson planning after exploring this guide, contact Sarah Morris (email@example.com or (919) 962-2094).
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