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Instructional Support for Teachers and Guided Feedback for Students in an Adaptive eLearning Environment

机译:对教师的教学支持以及自适应电子学习环境中学生的指导反馈

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Adaptive Tutorials are Intelligent Tutoring Systems (ITS) in which students typically interact with a simulation towards a task-goal while being guided and remediated. Adaptive Tutorials can exhibit different kinds of feedback: students are given guidance based on their interaction, and teachers can also receive feedback on their own authoring choices to drive reflection and content adaptation. This paper will discuss different types of feedback which students are given within Adaptive Tutorials and their pedagogical utility. It will then look at providing teachers with timely support and feedback as well as post-hoc solution traces, to improve student learning. We suggest a refined ITS design and development lifecycle to better support teachers in the design of good pedagogy. We provide this in the form of the Adaptive eLearning Platform, which is a tool to support teachers in the adaptation of tutorials and the creation of customized student feedback. This in turn can result in an improved student experience, with more guidance and better learning.
机译:自适应教程是智能辅导系统(其),其中学生通常在被引导和修复的同时朝着任务目标进行仿真进行互动。自适应教程可以表现出不同类型的反馈:学生基于他们的互动给出指导,教师还可以获得自己的创作选择的反馈,以推动反思和内容适应。本文将讨论不同类型的反馈,学生在自适应教程及其教学实用程序中给出了哪些学生。然后,它将通过及时的支持和反馈以及HOC解决方案痕迹提供教师,以提高学生学习。我们建议将其设计和开发生命周期改进,以更好地支持教师的良好教育学。我们以适应性的电子学习平台的形式提供这一点,这是一种支持教师在调整教程和创建定制学生反馈的工具的工具。这反过来可能导致学生体验改善,具有更多指导和更好的学习。

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