Dana Center design principles: context and interdisciplinary connections
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: context and interdisciplinary connections
The course presents data science in context and connect data science to various disciplines and everyday experiences.
Student perspectives
- Contribute personal experiences, where appropriate, that connect to classroom experiences.
- Actively seek connections between classroom experiences and the world outside of class.
- Describe connections between personal experiences or personal aspirations and the world outside the classroom through data analysis.
- Examine the ways in which data are collected in their day-to-day lives, and consider the ethics and consequences of collecting and using data to make decisions.
Faculty perspectives
- Provide opportunities for students to share their personal backgrounds and interests, including cultural and societal values, and help make the connection between what is important in students’ lives and future aspirations, and what they are learning in data science.
- Provide real and interesting data sets, including those that are local to students.
- Invite students into data explorations that illustrate authentic applications.
Faculty perspectives (cont.)
- Provide data explorations that include applications from a variety of academic disciplines, programs of study, and careers, and which are culturally sustaining.
Examples
