Association for Behavior Analysis International

Increasingly, students’ educational experiences occur in the context of online learning environments, creating opportunities to study student behavior in a fashion that is both longitudinal and very fine-grained. In this talk, Dr. Baker will discuss the use of Educational Data Mining methods on this type of data to automatically infer student problem behaviors during online learning, and to make basic discoveries about the factors that lead students to engage in these behaviors. He will illustrate this process through discussing his research group’s work to leverage a combination of field observation and data mining to develop automated detectors that infer when a student engages in a range of problem behaviors, including gaming the system, off-task behavior, and carelessness. Dr. Baker will then discuss his group’s work studying the ways that these behaviors and emotions are influenced by student interaction with online learning environments, and how that work influences developing next-generation online learning environments that students are more likely to choose to use appropriately and effectively.

Review  Ryan Shaun Joazeiro de Baker‘s biographical statement.

CE: 1.0 credit BACB