Cyberlearning 2017 Poster Session.
Augmented Graph Grammars are a graph-based representation for rules about graphs. They are ideally-suited to analysing rich graph data which incorporates complex node and arc structures such as optional information, textual data and other rich information. Semi-Formal representations such as argument diagrams have been used to scaffold students in argumentation, reading comprehension, and planning.
In this poster I will summarize some of my recent work on the use of augmented graph grammars for argument analysis and I will highlight other potential application areas.