CCSE Reading Group: Graphical Scaffolding for the Learning of Data Wrangling APIs
Published: 1 November 2021
Lovisa shares her journey towards using graphics for scaffolding learning and understanding in data wrangling.
DATE: 1st November 2021
LOCATION: CCSE Online Seminar Room
For students across the sciences to avail themselves of modern data streams, they must first know how to wrangle data: how to reshape ill-organised, tabular data into another format programmatically. Although data wrangling as a programming domain presents distinctive challenges, such as the need for on-the-fly syntax lookup and code example integration, it also presents opportunities. One such opportunity is how tabular data structures are easily visualised. To exploit the inherent visualisability of data wrangling, my dissertation evaluates three types of graphics that could be employed as scaffolding for novices: subgoal graphics, thumbnail graphics, and parameter graphics. The presentation will give a sweeping tour of the studies I undertook, and what the evaluations imply for data wrangling instruction.
First published: 1 November 2021