OpenTutor: Designing a Rapid-Authored Tutor that Learns as you Grade
OpenTutor: Designing a Rapid-Authored Tutor that Learns as you Grade
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DOI：
10.32473/flairs.v34i1.128576
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发表时间：
2021-04
期刊：
影响因子：
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通讯作者：
Benjamin D. Nye;Rushit Sanghrajka;Vinit Bodhwani;Martin Acob;Daniel Budziwojski;Kayla Carr;Larry Kirshner;W. Swartout
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文献类型：
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作者：
Benjamin D. Nye;Rushit Sanghrajka;Vinit Bodhwani;Martin Acob;Daniel Budziwojski;Kayla Carr;Larry Kirshner;W. Swartout
尽管有强有力的证据表明基于对话的智能辅导系统（ITS）可以提高学习收益，但很少有课程包含这些导师。在这项研究中，我们认为，现有的基于对话的辅导系统没有得到广泛的使用，因为他们太复杂和不熟悉的一个典型的教师适应或增强。OpenTutor是一个开源研究项目，旨在通过使普通教师能够快速创作和改进基于对话的ITS来扩大基于对话的辅导，其中创作通过熟悉的任务来呈现，例如评估项目创建和评分。从一组五个非CS教育工作者，这表明OpenTutor系统是相对容易使用，但教师会密切考虑成本效益的时间与学生的成果形成的可用性结果。具体来说，虽然OpenTutor评分比预期的要快，但教师们报告说，如果内容需要更深入的学习，他们只会花更多的时间（与多项选择相比）。为了减少训练答案分类器的时间，OpenTutor正在研究减少辅导对话框冷启动问题的方法。
Despite strong evidence that dialog-based intelligent tutoring systems (ITS) can increase learning gains, few courses include these tutors. In this research, we posit that existing dialog-based tutoring systems are not widely used because they are too complex and unfamiliar for a typical teacher to adapt or augment. OpenTutor is an open-source research project intended to scale up dialog-based tutoring by enabling ordinary teachers to rapidly author and improve dialog-based ITS, where authoring is presented through familiar tasks such as assessment item creation and grading. Formative usability results from a set of five non-CS educators are presented, which indicate that the OpenTutor system was relatively easy to use but that teachers would closely consider the cost benefit for time vs. student outcomes. Specifically, while OpenTutor grading was faster than expected, teachers reported that they would only spend any additional time (compared to a multiple choice) if the content required deeper learning. To decrease time to train answer classifiers, OpenTutor is investigating ways to reduce cold-start problems for tutoring dialogs.