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32.079 - What Can Be Inferred From Trace Data? Current Methods to Triangulate and Validate Traces of Learning Behavior

Fri, April 28, 2:15 to 3:45pm, Henry B. Gonzalez Convention Center, Floor: Meeting Room Level, Room 221 D

Session Type: Structured Poster Session

Abstract

Even when learning technologies provide a fine-grained record of students’ actions, the complexity of the self-regulated learning (SRL) process poses a measurement challenge: how can we produce a record of valid inferences about the cognitive and metacognitive events that learners conduct when engaging in a learning task? This structured poster session demonstrates additional data researchers collect to validate the inferences they make when trace data are used to represent self-regulated learning processes. Six presenters describe efforts to triangulate trace data with think-aloud, eye-tracking, face-recording, classroom-facing video, post-hoc reports and contextual metadata. The session demonstrates the “state of the science” of tracing and triangulating around learning events and applies classic and modern lenses for considering validity of the inferences they support.

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