{"title":"推进以学生为中心的多模态学习分析的十大机遇与挑战","authors":"S. Oviatt","doi":"10.1145/3242969.3243010","DOIUrl":null,"url":null,"abstract":"This paper presents a summary and critical reflection on ten major opportunities and challenges for advancing the field of multimodal learning analytics (MLA). It identifies emerging technology trends likely to disrupt learning analytics, challenges involved in forging viable participatory design partnerships, and impending issues associated with the control of data and privacy. Trends in health care analytics provide one attractive model for how new infrastructure can enable the collection of largerscale and more diverse datasets, and how end-user analytics can be designed to empower individuals and expand market adoption.","PeriodicalId":308751,"journal":{"name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Ten Opportunities and Challenges for Advancing Student-Centered Multimodal Learning Analytics\",\"authors\":\"S. Oviatt\",\"doi\":\"10.1145/3242969.3243010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a summary and critical reflection on ten major opportunities and challenges for advancing the field of multimodal learning analytics (MLA). It identifies emerging technology trends likely to disrupt learning analytics, challenges involved in forging viable participatory design partnerships, and impending issues associated with the control of data and privacy. Trends in health care analytics provide one attractive model for how new infrastructure can enable the collection of largerscale and more diverse datasets, and how end-user analytics can be designed to empower individuals and expand market adoption.\",\"PeriodicalId\":308751,\"journal\":{\"name\":\"Proceedings of the 20th ACM International Conference on Multimodal Interaction\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th ACM International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3242969.3243010\",\"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 20th ACM International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3242969.3243010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ten Opportunities and Challenges for Advancing Student-Centered Multimodal Learning Analytics
This paper presents a summary and critical reflection on ten major opportunities and challenges for advancing the field of multimodal learning analytics (MLA). It identifies emerging technology trends likely to disrupt learning analytics, challenges involved in forging viable participatory design partnerships, and impending issues associated with the control of data and privacy. Trends in health care analytics provide one attractive model for how new infrastructure can enable the collection of largerscale and more diverse datasets, and how end-user analytics can be designed to empower individuals and expand market adoption.