Self-directed learning in Online Laboratory

Vrinda Nandan, Spencer Rugaber, Ashok Goel
Sungeun An, Scott Bunin, Stephen Buckley, Kenny Eaton, Andrew Hornback, John Kos, Sareen Zhang

Self-directed online learning is becoming increasingly prevalent. We describe a study on the use of an online laboratory for self-directed learning through the construction and simulation of conceptual models of ecological systems. We analyzed the modeling behaviors of 315 learners and 822 instances of learner-generated models using a sequential pattern mining technique. We found three types of learner behaviors: observation, construction, and exploration. We found that while the observation behavior was most common, exploration led to models of higher quality.

Ashok Goel
Ashok Goel, Keith McGreggor, Spencer Rugaber
Tesca Fitzgerald, David Joyner, Rochelle Lobo, Bryan Wiltgen, Gongbo Zhang

The Design & Intelligence Laboratory conducts research into human-centered artificial intelligence and computational cognitive science, with a focus on computational creativity. Current projects explore analogical reasoning in biologically inspired design, visual reasoning on intelligence tests, meta-reasoning in game-playing software agents, and learning about ecological and biological systems in science education.