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Using Emotions to Improve Role Taking in Storytelling Complex Learning Objects

机译:使用情绪改善讲故事的复杂学习对象中的角色

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摘要

The field of educational technology considers the research of new models as well as the experimentation of new methods as one of the greatest challenges for educational designers. How can educators reach the Millennial students and provide a productive and engaging learning environment? Guided learning activities, like digital storytelling, help learners bridge the gap between the real context and the learning theories. The aforementioned activities prepare students to learn in situations they may encounter at work and in their personal life. The construction of interactive narratives represents an educational challenge gaining in a considerable importance when they take into account the emotions felt by the users and exploit them to improve themselves. In this work, we propose to include the Emotion Management into a pedagogy-driven template, based on storytelling, and to extend the Storytelling Design Model through an Emotion Tracking Engine used to keep track of users' emotional states. Furthermore, a Story Logic Engine will be used to rebalance altered emotions and maximize the acquisition of knowledge, by assigning a different role to the student. Roles are selected by means of a mapping function that associates narrative archetypes with detected emotions.
机译:教育技术领域将对新模型的研究以及对新方法的试验视为对教育设计师的最大挑战之一。教育工作者如何才能接触千禧一代的学生,并提供一个富有成效的,引人入胜的学习环境?指导性学习活动(如数字故事讲演)可帮助学习者弥合真实情境与学习理论之间的鸿沟。通过上述活动,学生可以在工作和个人生活中遇到的情况中学习。当交互式叙事考虑到用户所感受到的情感并利用它们来提高自我时,就构成了一种十分重要的教育挑战。在这项工作中,我们建议将情绪管理包含在基于讲故事的教学法驱动的模板中,并通过用于跟踪用户情绪状态的情感跟踪引擎来扩展讲故事设计模型。此外,故事逻辑引擎将通过为学生分配不同的角色来重新平衡改变的情绪并最大程度地获取知识。通过将叙事原型与检测到的情绪相关联的映射功能来选择角色。

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