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Adaptive Scaffolds in Open-Ended Learning Environments

机译:开放式学习环境中的自适应支架

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Open-ended learning environments (OELEs) are learner-centered, and they offer students opportunities to take part in authentic and complex problem-solving tasks. However, learners typically struggle to learn with OELEs without proper adaptive scaffolds. This paper describes research and development related to designing real-time algorithms for diagnosing students' needs in OELEs and responding with appropriate adaptive scaffolds.
机译:开放式学习环境(OELE)以​​学习者为中心,它们为学生提供了参与真实而复杂的问题解决任务的机会。然而,学习者通常在没有适当的适应性支架的情况下难以与OELEs学习。本文介绍了与设计实时算法相关的研究和开发,这些算法可用于诊断OELEs中的学生需求并使用适当的自适应支架进行响应。

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