Welcome to the "Scaffolding Comprehension for Unconventional Graphs" project. (Amy Rae Fox, UCSD Cognitive Science, Second Year Project)
We are investigating the nature of the graph schema, and how learners come to make sense of statistical graphics.
We make use of the Triangular Model of Interval Relations, an unconventional representation of time intervals. Qiang, Y., Valcke, M., De Maeyer, P., & Van de Weghe, N. (2014). Representing time intervals in a two-dimensional space: An empirical study. Journal of Visual Languages and Computing, 25(4), 466–480. https://doi.org/10.1016/j.jvlc.2014.01.001
- !IMPORTANT! URL amyraefox.com/Scaffolding_Graph_Comprehension is referenced in 2018 Diagrams publication
- public website rendered via GitHub pages and (old) R markdown to html website
- docs/ public website hosted by GitHub pages
- GraphClient --> sample D3 code for rendering the TM graph
- STUDY_1 --> observational study with the TM Model
- STUDY_2 --> experimental study comparing explicit scaffolds (mixed: 5(scaffold [between]) X 2(graph [within]))
- VIZ --> WIP interactive visualization code
- note that docs/ folder contains polished analyses, while the STUDY_1 and STUDY_2 folders contain interim and exploratory analyes as well (including some SPSS files)
- prior subdirectories with (pilot) data for Study 3 and Study 5 (interaction) removed and backed up in main SGC-X repository