BOOK-CHAPTER

Natural Language Processing and Large Language Models

Peter WulffMarcus KubschChristina Krist

Year: 2025 Springer texts in education Pages: 117-142   Publisher: Springer International Publishing

Abstract

Abstract In this chapter we introduce the basics of natural language processing techniques that are important to systematically analyze language data. In particular, we will utilize simple large language models and showcase examples of how to apply them in science education research contexts. We will also point to recently advanced large language models that are capable of solving problems without further training, which opens up novel potentials (and challenges) for science education research.

Keywords:
Computer science Natural (archaeology) Linguistics Natural language processing History Philosophy Archaeology

Metrics

1
Cited By
9.06
FWCI (Field Weighted Citation Impact)
26
Refs
0.93
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Explainable Artificial Intelligence (XAI)
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
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