Challenges and Solutions for Short-Form Data Visualization Instruction

While data visualization is increasingly taught in semester-long courses and even in certificate and degree programs, there is also a growing market for short-form data visualization instruction. This paper outlines two major factors that influence the development of short-form data visualization instruction: audience type (broad or specific) and instructional focus (hands-on or conceptual). Apart from these factors, other relevant considerations include the fluidity of attendance, the comprehensiveness of the instruction, the availability of helpers, the temptation to flip the classroom, and the mechanisms for sharing materials. Specific recommendations accompany each consideration, along with links to resources.

Duke Scholars

Author Angela Zoss