摘要
米米·雷克(Mimi Recker)是犹他州立大学教育与人力服务学院教授,兼任美国国家科学基金资助咨询委员会委员,还先后担任《学习科学杂志》(Journal of the Learning Sciences)、《教学媒体国际期刊》(International Journal of Instructional Media)、《教育技术研究与发展》(Educational Technology Research and Development)、《美国教育研究杂志》(American Education Research Journal)等编委,研究方向包括交互式学习环境的设计和评估,新媒体、信息和通信技术的教育应用以及创客教育等,目前致力于探索学校及公共图书馆创客发展和在线学习分析技术研究,曾主持八项美国国家科学基金项目,在《学习科学杂志》《教学科学》(Instructional Science)、《教育技术研究与发展》等期刊发表学术论文30多篇,2010年获美国教育传播与技术协会(AECT)杰出发展奖提名,2013年获犹他州立大学年度优秀导师称号。
Mimi Recker is a professor of Emma Eccles Jones College of Education ＆ Human Services at Utah State University and a former head of the Department of Educational Technology and Learning Science. She is cur- rently a member of National Science Foundation Grant Advisory Board. Also, she is an editor of Educational Technol- ogy Research and Development and American Education Research Journal and has been an editor for Journal of the Learning Sciences and International Journal of Instructional Media. Her research interests cover the design and evalu- ation of the interactive learning environment, educational uses of new media, information, and communication tech- nologies, and maker education. At present, she conducts research about maker education in schools and public librar- ies and educational big data mining. She has been Pl for eight National Science Foundation Grants of USA and pub- lished more than 30 papers in the prestigious journals of educational technology, such as Journal of the learning sci- ences, Instructional Science, and Educational Technology Research and Development. She was nominated for the Out- standing Development Award of the American Association for Educational Communication and Technology （ AECT） in 2010 and awarded the title of outstanding mentor at Utah State University in 2013.
出处
《开放教育研究》
CSSCI
北大核心
2018年第1期4-9,共6页
Open Education Research
基金
2016年重庆市研究生教育教学改革研究项目"面向多形态课程的数字资源特征及共享机制--以免师硕士在线课程为例"(YJG20163068)
中央高校基本科研业务费专项资金创新团队项目"智慧学习环境研究"(XDJK2014A002)
关键词
教育大数据
数据挖掘
模型
学习分析
educational big data
data mining
model
learning analytics
