Analyzing Students' Metacognitive Strategies in Open-Ended Learning Environments

Abstract

Novices often lack metacognition and self-regulation skills that are important for effective learning. Betty's Brain, an open-ended computer-based learning environment helps students practice and develop metacognitive strategies as they learn science topics. We extend previous work on sequence mining methods to discover students' frequently-used behavior patterns from their activity sequences. Our results show that it is possible to interpret aspects of students' learning strategies and their effectiveness by taking into ac-count the context of their activities in the system.


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