Data Literacy ~ Critical Thinking
Critical Thinking
Conceptually, data literacy requires critical thinking, gaining knowledge from abstraction, and application of results. This critical, and often abstract reasoning is similar to computational thinking. Computational thinking involves “defining abstractions, working with multiple layers of abstraction and understanding the relationships among the different layers” (Ridsdale, et.al., 2015).
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
Chantel Ridsdale, et.al., Dalhousie University, 2015;, Andreas Grillenberger, Ralf Romeike, Proceedings of the 13th Workshop in Primary and Secondary Computing Education, 2018;, Hugo Bowne-Anderson, Mike Loukides, O'Reilly, 2022;