Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models.
Hogyeong Jeong, Gautam Biswas, Julie L. Johnson, Larry Howard · 2010
Abstract. This paper demonstrates the generality of the hidden Markov model approach for exploratory sequence analysis by applying the methodology to study students ’ learning behaviors in a new domain, i.e., an asynchronous, online environment that promotes an explicit inquiry cycle while permitting a great deal of learner control. Our analysis demonstrates that the high-performing students have more linear learning behaviors, and that their behaviors remain consistent across different study modules. We also compare our approach to a process mining approach, and suggest how they may complement one another. 1