2015年多模式学习与分析大挑战

M. Worsley, K. Chiluiza, Joseph F. Grafsgaard, X. Ochoa
{"title":"2015年多模式学习与分析大挑战","authors":"M. Worsley, K. Chiluiza, Joseph F. Grafsgaard, X. Ochoa","doi":"10.1145/2818346.2829995","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20486,"journal":{"name":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"2015 Multimodal Learning and Analytics Grand Challenge\",\"authors\":\"M. Worsley, K. Chiluiza, Joseph F. Grafsgaard, X. Ochoa\",\"doi\":\"10.1145/2818346.2829995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":20486,\"journal\":{\"name\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2818346.2829995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2818346.2829995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multimodal Assessment of Teaching Behavior in Immersive Rehearsal Environment-TeachLivE Multimodal Capture of Teacher-Student Interactions for Automated Dialogic Analysis in Live Classrooms Retrieving Target Gestures Toward Speech Driven Animation with Meaningful Behaviors Micro-opinion Sentiment Intensity Analysis and Summarization in Online Videos Session details: Demonstrations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1