Self-directed learning in Online Laboratory

Info about the Project

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