@inproceedings{92369769a3434777b79fd35c8cc7029b,
title = "A Student Model to Assess self-explanation while Learning from Examples",
abstract = "The SE-Coach is a tutoring system that supports students in applying the learning strategy known as self-explanation - the process of clarifying to oneself the solution of an example. In this paper, we describe the student model used by the SE-Coach to assess the students{\textquoteright} self explanations and to provide hints to improve them. The assessment is based on the student{\textquoteright}s prior physics knowledge and on the student{\textquoteright}s studying actions. We describe a version of the user model based on a Bayesian network, and a simplified version that is more efficient but handles only examples with no inferential gaps in the solution.",
author = "Cristina Conati and Kurt VanLehn",
year = "1999",
language = "English (US)",
isbn = "9783211831519",
volume = "407",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "303--305",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "7th International Conference on User Modeling, UM 1999 ; Conference date: 20-06-1999 Through 24-06-1999",
}