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Student-Sensitive Multimodal Explanation Generation for 3D Learning Environments

机译:适用于3D学习环境的学生敏感多模式解释生成

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摘要

Intelligent multimedia systems hold great promise for knowledge-based learning environments. Because of recent advances in our understanding of how to dynamically generate multimodal explanations and the rapid growth in the performance of 3D graphics technologies, it is becoming feasible to create multimodal explanation generators that operate in realtime. Perhaps most compelling about these developments is the prospect of enabling generators to create explanations that are customized to the ongoing "dialogue" in which they occur. To address these issues, we have developed a student-sensitive multimodal explanation generation framework that exploits a discourse history to automatically create explanations whose content, cinematography, and accompanying natural language utterances are customized to the dialogue context. By these means, they create integrative explanations that actively promote knowledge integration. This framework has been implemented in CINESPEAK, a student-sensitive multimodal explanation generator.
机译:智能多媒体系统对于基于知识的学习环境具有广阔的前景。由于我们对如何动态生成多模式解释的理解的最新进展以及3D图形技术性能的快速增长,创建实时运行的多模式解释生成器变得可行。关于这些发展的最令人信服的也许是使生成器能够创建针对正在进行的“对话”进行定制的解释的前景。为了解决这些问题,我们开发了一个对学生敏感的多模式解释生成框架,该框架利用话语历史自动创建解释,其内容,电影摄影和附带的自然语言是针对对话环境定制的。通过这些方式,他们创建了可以促进知识整合的整合性解释。该框架已在学生敏感的多模式解释生成器CINESPEAK中实现。

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