Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving

We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The key to the framework’s ability to provide this support is a user model that exploits a novel classification of similarity to infer the impact of a particular example on a given student’s metacognitive behaviors and subsequent learning.

• Type: Conference
• Year: 2005
• Where: UM
• Authors: Kasia Muldner, Cristina Conati
• Keywords: Computational Framework, Student’s Metacognitive Behaviors, UM 2005, Worked-out Examples