甲虫生长:一种有效的数据收集智能辅导系统

Elaine Farrow, M. Dzikovska, Johanna D. Moore
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引用次数: 1

摘要

我们提出了甲虫-成长智能辅导系统,它结合了主动实验、自我解释和使用自然语言交互的形成性反馈。它在一个标准的网页浏览器中运行,具有新颖、引人入胜的设计。基础后端系统先前已被证明在教授基本电学和电子学概念方面非常有效。Beetle-Grow旨在以一种适合数据挖掘的形式捕捉学生的互动和学习指标,并支持未来构建互动辅导工具的工作,这些工具在与学生互动后会得到改善,就像人类导师一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection
We present the Beetle-Grow intelligent tutoring system, which combines active experimentation, self-explanation, and formative feedback using natural language interaction. It runs in a standard web browser and has a fresh, engaging design. The underlying back-end system has previously been shown to be highly effective in teaching basic electricity and electronics concepts. Beetle-Grow has been designed to capture student interaction and indicators of learning in a form suitable for data mining, and to support future work on building tools for interactive tutoring that improve after experiencing interaction with students, as human tutors do.
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