SketchMiner: Mining Learner-Generated Science Drawings with Topological Abstraction
Mining learner generated sketches holds significant potential for acquiring deep insight into learners’ mental models. Drawing has been shown to benefit both learning outcomes and engagement, and learners’ sketches offer a rich source of diagnostic information. Unfortunately, interpreting learners’ sketches—even sketches comprised of semantically grounded symbols—poses significant computational challenges.
This paper introduces SketchMiner, which uses drawing topologies to automatically interpret learner-generated sketches.