Conference Paper

Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate

Mitchell Gerhardt, Andrew Katz

Proceedings of the 2025 ASEE Annual Conference & Exposition2025

Contribution 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.

This summary is drawn from the publication abstract rather than rewritten as a claim beyond the available metadata.

Abstract

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.

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