Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves Analysis

Isaac Alpizar Chacon, Sergey A. Sosnovsky, Peter Brusilovsky

Abstract: This paper evaluates an automatically extracted domain model from textbooks and applies learning curve analysis to assess its ability to represent students’ knowledge and learning. Results show that extracted concepts are meaningful knowledge components with varying granularity, depending on textbook authors’ perspectives. The evaluation demonstrates the acceptable quality of the extracted domain model in knowledge modeling.