Dana Center design principles: problem solving
eCOTS 2022 Workshop
Nicholas J. Horton and Benjamin S. Baumer
May 19, 2022
Dana Center Data Science Design Principle Framework
- The framework is copyright 2021 The Charles A. Dana Center at The University of Texas at Austin.
- The Dana Center has granted educators a nonexclusive license to reproduce and share copies of this publication to advance this work.
Link to Dana Center Design Principles
Design Principle: problem solving
The course provides opportunities for students to engage in the entire statistical problem- solving process.
Student perspectives
- Apply intuition, life experience, and previous learning to develop a strategy for solving unfamiliar problems.
- Explore and use multiple solution methods.
- Share and discuss different solution pathways and methods.
- Use tools and representations, as needed, to support their thinking and problem solving.
Student perspectives (cont.)
- Develop and justify their own strategies to approach new problems.
- Be willing to make and learn from mistakes in the problem-solving process.
Faculty perspectives
- Present tasks that require students to find or develop an approach that is appropriate for exploring data to reach a data-based conclusion.
- Provide data sets that allow for multiple exploration and visualization methods, including transfer of previously developed skills and strategies to new contexts.
- Provide opportunities to share and discuss different data analysis and visualization methods.
Faculty perspectives (cont.)
- Model the problem-solving process using various strategies.
- Encourage and support students to explore and use a variety of approaches and strategies to make sense of data and reach data-based conclusions.
How to operationalize?
