Conference Paper

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 & Exposition2025

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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EAGER: Natural Language Processing for Teaching and Research in Engineering Education (NLPTREE)

How can NLP methods help engineering education researchers and instructors analyze text-rich learning data responsibly and at scale?

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