Abstract
To respond to this increased attention to statistics in society and work force, as well as to contribute to improved career preparation for students, it is imperative that we foster data literacy in our university student population. This paper discusses 13 learning outcomes that describe Advanced Data Literacy for university level students across different disciplines.
| Original language | English |
|---|---|
| Title of host publication | 5th International Conference On Higher Education Advances (head'19) |
| Editors | J Domenech, P Merello, E DeLaPoza, D Blazquez, R PenaOrtiz |
| Pages | 341-352 |
| Number of pages | 12 |
| DOIs | |
| State | Published - 2019 |
Keywords
- Data Science
- Statistics
- Undergraduate Education