2015年多模式学习与分析大挑战

M. Worsley, K. Chiluiza, Joseph F. Grafsgaard, X. Ochoa
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引用次数: 9

摘要

多模态是教与学的有机组成部分。在过去的几十年里,研究人员一直在设计、创造和分析新颖的环境,使学生能够通过各种方式体验和展示学习。最近,低成本的多模态传感器的出现、人工智能的进步以及大规模数据分析技术的改进,使研究人员和从业者能够在多模态学习和多模态学习分析方面突破界限。为了继续这些发展,2015年多模式学习与分析大挑战将重点放在捕获多模式学习数据的新技术上,以及开发丰富的多模式学习应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
2015 Multimodal Learning and Analytics Grand Challenge
Multimodality is an integral part of teaching and learning. Over the past few decades researchers have been designing, creating and analyzing novel environments that enable students to experience and demonstrate learning through a variety of modalities. The recent availability of low cost multimodal sensors, advances in artificial intelligence and improved techniques for large scale data analysis have enabled researchers and practitioners to push the boundaries on multimodal learning and multimodal learning analytics. In an effort to continue these developments, the 2015 Multimodal Learning and Analytics Grand Challenge includes a combined focus on new techniques to capture multimodal learning data, as well as the development of rich, multimodal learning applications.
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