ACE-TA自动处理编程学习问题，实现问答、测验生成与代码辅导。
ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
- 基于大模型的三模块协同系统，精准匹配学习需求
- 生成多主题自适应测验，促进高阶理解能力提升
- 支持沙箱执行与迭代反馈，适合编程教学场景
我们提出ACE-TA——一个自主运行的编程与解释教学助理框架，利用预训练大语言模型（LLMs），将编程课程中的概念性问题自动路由至基于上下文的问答、分步代码指导以及自动化测验生成。该系统由三个协同模块组成：基于检索的精确概念问答系统，提供与上下文对齐的清晰解释；可生成自适应多主题测评的测验生成器，聚焦高阶理解能力培养；以及支持沙箱执行和迭代反馈的交互式代码辅导模块，引导学生逐步完成推理。
原文摘要 · Abstract (English)
We introduce ACE-TA, the Agentic Coding and Explanations Teaching Assistant framework, that autonomously routes conceptual queries drawn from programming course material to grounded Q&A, stepwise coding guidance, and automated quiz generation using pre-trained Large Language Models (LLMs). ACE-TA consists of three coordinated modules: a retrieval grounded conceptual Q&A system that provides precise, context-aligned explanations; a quiz generator that constructs adaptive, multi-topic assessments targeting higher-order understanding; and an interactive code tutor that guides students through step-by-step reasoning with sandboxed execution and iterative feedback.
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