Intelligent Learning Environments to Support Problem Solving through Example Studying
Cristina Conati and Kasia Muldner
In this paper we present our research on devising intelligent learning tools to help students improve their problem solving skills through example studying. The tools are designed to provide adaptive support for the acquisition of the meta-cognitive skills necessary for effective example based learning. The support is tailored each student’s specific needs through probabilistic student models that assess the relevant student’s knowledge and meta-cognitive abilities in real time during interaction.