Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education

This paper develops methods to detect boundaries between human-written and AI-generated content in hybrid essays where students may have used LLMs like ChatGPT to complete portions of their writing assignments. The approach identifies transition points in student essays to help educators detect AI assistance in academic writing.

The recent large language models (LLMs), e.g., ChatGPT, have been able to generate human-like and fluent responses when provided with specific instructions. While admitting the convenience brought by technological advancement, educators also have concerns that students might leverage LLMs to complete their writing assignments and pass them off as their original work. Although many AI content detection studies have been conducted as a result of such concerns, most of these prior studies modeled A

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