Assignment / Participation Brainstorming

[samanthacsik]

Assignment Schedule:

Three required self assessments/reflections + 4 (?) data viz assignments. Rough outline of assignment schedule:

• Pre-Course Reflection: Assigned Monday 01/08/2024 (week 1), Due Monday 01/15/2024 (week 2)
• Data Viz Assignment # 1: Assigned Wednesday 01/17/2024 (week 2), Due Wednesday 01/24/2024 (week 3)
• Data Viz Assignment # 2: Assigned Monday 01/29/2024 (week 4), Due Monday 02/05/2024 (week 5)
• Mid-Course Reflection: Assigned Monday 02/05/2024 (week 5), Due Monday 02/12/2024 (week 6)
• Data Viz Assignment # 3: Assigned Monday 02/12/2024 (week 6), Due Monday 02/19/2024 (week 7)
• Data Viz Assignment # 4: Assigned Wednesday 02/21/2024 (week 7), Due Wednesday 02/28/2024 (week 8)
• NO ASSIGNMENT TO WORK ON DURING WEEK 9 (FACULTY REVIEWS)
• End-of-Course Reflection: Assigned Monday 03/11/2024 (week 10), Due Monday 03/18/2024 (finals week)

[samanthacsik]

Assignment Ideas:

Take home assignments:

In-class assignments:

• Students are in groups; give groups same base plot but different tasks (e.g. one group needs to add/modify title, subtitle, caption, like move title to left, another group needs to adjust axis breaks, range, etc.), then share out. Learning Objectives: (learn how to customize ggplot themes, google for solutions / practice self-sufficiency)

Hybrid (park take-home, part in-class) assignments:

• Students individually create a plot based on question/data prompt. Must bring (non-annotated) code and resulting visualization to class. Students partner up and give their code to their partner, who needs to sketch the resulting plot on paper. Learning Objectives (writing clear code, reading/interpreting code, googling functions when you aren't familiar with what they do)

[samanthacsik]

Other Participation Points

• filling out weekly surveys (see in issue #3) to provide brief feedback
• job posting "presentation" (have students sign up for a date at the start of the quarter; must bring in and briefly describe a job posting that involves data visualization (to some degree)

[samanthacsik]

Resources

• Guidelines for Assessing Student Learning (Harriet W Sheridan Center for Teaching and Learning)

[samanthacsik]

Cool example of a work showcase, using a quarto listing page: https://www.crumplab.com/things/ (along with listing page source: https://github.com/CrumpLab/things/blob/master/index.qmd)