新闻
Scalable Conversational Assessment: Chat-Based Exams with a Two-Agent LLM Pipeline
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers developed a two-agent LLM system that conducts interactive text-based exams, separating the interviewer from a hidden evaluator to assess student reasoning at scale.
- 为何重要
- Educators considering automated assessment tools should evaluate this when designing courses that need to grade argumentation and reasoning without manual oral exams.
- 注意
- The system was tested only in a small elective course and the paper was rejected from SIGCSE TS 2027, indicating unresolved challenges in follow-up question generation and attribution of ideas.
- agent
- llm
- reasoning
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