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Identifying Task Engagement: Towards Personalised Interactions with Educational Robots

机译:识别任务参与:与教育机器人的个性化互动

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The focus of this project is to design, develop and evaluate a new computational model for automatically detecting change in task engagement. This work will be applied to robotic tutors to enhance and support the learning experience, enabling timely pedagogical and empathic intervention. This work is intended to forward the current state of the art by 1) exploring how to automatically detect engagement with a learning task, 2) designing and developing new approaches to machine learning for adaptive platform-independent modelling and 3) evaluation of its effectiveness for building and maintaining learner engagement across different tutor embodiments, for example a physical and virtual embodiment.
机译:该项目的重点是设计,开发和评估新的计算模型,以便自动检测任务参与的变化。这项工作将适用于机器人导师,以增强和支持学习经验,实现及时的教学和异常干预。这项工作旨在将现有技术转发1)探索如何自动检测与学习任务的接触,2)设计和开发用于自适应平台独立建模的机器学习的新方法,以及3)对其有效性的评估在不同教师实施例中构建和维护学习者参与,例如物理和虚拟实施例。

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