Measuring The Quality Of Domain Models Extracted From Textbooks With Learning Curves Analysis
Measuring The Quality Of Domain Models Extracted From Textbooks With Learning Curves Analysis
Publication Year:
2023
Publication Source:
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics)
Volume:
13916 LNAI
Funding Type:
ECR:Core
Supporting Project(s):
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. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
