Optimizing Large Language Model-Driven Automated Essay Scoring: Integrating Linguistic Features and Prompt Engineering to Enhance Scoring Accuracy

Description

this data includes two part 1) the results of using different prompts to assess essays 2) linguistics features of essays

Steps to reproduce

randomly extract essays from EF-Cambridge Open Language Database cleaned subcorpus use Qwen to essays writings with different prompts use NLP tools including TAALED, TAALES, TAASSC, and TAACO to measure linguistic features

Institutions

• Zhejiang University

  Zhejiang, Hangzhou

Categories

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