Applying large language models and chain-of-thought for automatic scoring

Applying large language models and chain-of-thought for automatic scoring

This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written responses to science assessments. We focused on overcoming the challenges of accessibility, technical complexity, and lack o...

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Bibliographic Details
Main Authors: Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Artificial intelligence (AI)
GPT-4
ChatGPT
Large language models (LLMs)
Automatic scoring
Chain-of-Thought
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X24000146

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http://www.sciencedirect.com/science/article/pii/S2666920X24000146

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