Telling Stories through Data Science: Developing Instructional Leaders in Data Science Education for HS Mathematics, Statistics, and Computer Science Teachers
Interdisciplinary data science that uses storytelling to inform decision-makers and the public is a hot topic in education at all levels. Secondary public education needs to support building citizen data scientists who can 1) use the information presented in a data story appropriately, 2) debunk a data story when there are holes in the supporting data, visualizations, or analysis, or 3) create their own data science stories. Process-based data science rooted in statistical thinking and the scientific method can and must be taught at the high school level.
This professional development opportunity will teach a process view of defining subject matter questions, translating them to statistical questions, answering them, and then translating those answers back to the subject matter vocabulary. Teachers will leave the course with both lessons they can use in their classroom immediately and ideas on how to initiate collaborative science-data science projects.
- A process view of data science that starts with posing an interesting question
- Finding an appropriate data source to answer the question
- Choosing the best visualizations to let the data tell the story
- Selecting a statistical method to objectively evaluate and draw conclusions
Critical thinking questions about transparency, competency, and bias in data collection, analysis, visualization, and communication will be integrated into the course material throughout. Visualizations and analyses will be performed in modern data analysis statistical packages and coding languages. No prior knowledge of the coding or software is required. Sessions will include interactive, hands-on lessons in free open-source statistical programming languages and examples with lively discussion.
NOTE: Teachers will need to work with their local school division’s Department of Technology to ensure that tech tools are accessible on their own and their students’ computers.
Session: 3 days, two 2.5 -3 hour sessions per day, Tuesday-Thursday
Number of Participants: 20
Target audience: All mathematics, computer science, and statistics teachers
Instructors: Jennifer Van Mullekom and Angie Patterson