Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate
Summary
This paper uses a natural language processing approach to automatically analyze knowledge types in computer science textbooks, providing insights into the epistemic climate of educational materials.
Cite this paper
Gerhardt, M. & Katz, A. (2025). Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate. Proceedings of the 2025 ASEE Annual Conference & Exposition. https://doi.org/10.18260/1-2--55491
BibTeX
@inproceedings{gerhardt2025automated,
title = {Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate},
author = {Gerhardt, Mitchell and Katz, Andrew},
booktitle = {Proceedings of the 2025 ASEE Annual Conference & Exposition},
year = {2025},
doi = {10.18260/1-2--55491}
}