教师名录

申 瑞民 教授

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办公室电话:+86-21-3420-4417

办公地点:SEIEE-3-418

电子邮件:shen-rm@cs.sjtu.edu.cn

实验室: E-Learning实验室

  • 研究兴趣
  • 教育背景
  • 工作经验
  • 教授课程
  • 论文发表
  • 项目资助
  • 获奖信息
  • 学术服务
E-Learning Technologies; Knowledge Discovery and Data Mining; Data Encoding and Information;Mobile Learning; Affective Learning

1984-1988 Bachelor Degree, Department of Computer Science, Tsinghua University
1988-1991 Master Degree, Department of Computer Science, Tsinghua University

2010-2013 Doctor Degree, University of Hagen,  Germany


1991-1995  Lecture in the department of computer science and engineering, Shanghai Jiao Tong University
1996-1998  Associate professor in the department of computer science and engineering, Shanghai Jiao Tong University
1997-1998   Visiting Professor in Waseda University
1998-      Professor in the department of computer science and engineering, Shanghai Jiao Tong University

2012--2015  Guest Scienst    DFKI   Germany

2012--2015   Visiting Professor  Essex University  U.K  


Pervasive Learning


1. Shen, R. M., Wang, M. J., Gao, W. P., Novak, D., Tang, L. (In press). Mobile Learning in a large blended computer science classroom: System function, pedagogies, and their impact on learning. IEEE Transactions on Education. 2009
2. Shen, R. M., Wang, M. J., Pan, and X.Y. (In Press), “Increasing interactivity in blended classrooms through a cutting-edge mobile learning system,” British Journal of Educational Technology, Vol. 39, No. 6. (November 2008), pp. 1073-1086.
3. Heng Luo, Changyong Niu, Ruimin Shen & Carsten Ullrich. A collaborative filtering framework based on both local user similarity and global user similarity. Machine Learning, Volume 72, Number 3, Pages 231-245, 2008.
4. Carsten Ullrich; Kerstin Borau; Heng Luo; Xiaohong Tan; Liping Shen & Ruimin Shen. Why Web 2.0 is Good for Learning and for Research: Principles and Prototypes. Proceedings of the 17th International World Wide Web Conference, ACM, 2008.

5. Minjuan Wang & Ruimin Shen, (2012) Message Design for Mobile Learning: Learning Theories, Human Cognition, and Design Principles. British Journal of Education Technology (BJET). 43(4), 561-575.

6.Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich. “Simultaneous Learning of Class-relevant Features and Class-irrelevant Features”, 14th International Conference on Artificial Intelligence and Statistics (AISTATS) 2011, Fort Lauderdale, FL, USA. Volume 15 of JMLR: W&CP 15

7.Carsten Ullrich, Ruimin Shen, Ren Tong & Xiaohong Tan: A mobile live video learning system for large-scale learning system design and evaluation. IEEE Transactions on Learning Technologies, 3(1), 2010



 

* National Key Technology R&D Program of China under grant No. 2012BAH55F02.  Research of Digital Educational Resource Creation. 2012-2015

* ROLE: Responsive Open Learning Environments, Integrated Project, EU Project FP7. 2008 - 2012

Boltzmann Machines

National Science Foundation of China (NSFC) under grant No. 61071154. Sparse Group Restricted Boltzmann Machines and its’ application. 2011-2013

* National High-Tech Research Program (863) of China under grant No. 2007AA01Z157. Research on Context-aware Multi-modal Interaction Model and Key Technologies. 2008-2009. (Principal Investigator)
* ROLE: Responsive Open Learning Environments, Integrated Project, EUProject FP7. 2008 
* National Science Foundation of China (NSFC) under grant No. 60672066. Network Measurement based Overlay Construction Algorithms and its Application. 2007-2009. (Principal Investigator)
* key projects in the national science & technology pillar program during the eleventh five-year plan under grant No. 2007BAH09B05. Interactive Education Application Based on High-performance Broadband Network. 2007-2010. (Principal Investigator).
* US Natural Science Foundation (NSF) under grant No. 0623166. Distributed Learning and Collaboration (DLAC) for Next Generation Educational Settings. 2007. (Participant)
* US Natural Science Foundation (NSF) under Grant No. 0456434. International Collaboration on Web-based Learning: Theory, Research and Practice. 2006. (Participant) 
* National Science Foundation of China (NSFC) under grant No. 60372078. Research On E-Learning Collaborative Learning and Personalized Predictive Model. 2004-2006. (Principal Investigator).

* Shanghai Teaching Achievement Award, 2nd Class, 2013

* Shanghai Teaching Achievement Award, 1st class, 2009

* China National Science and Technology Progress Award, 2nd class, 2009

* China National Teaching Achievement Award, 2nd Class, 2009

* HO LEUNG HO LEE FOUNDATION Award for youth Innovation, 2008

* China National Science and Technology Progress Award, 2nd class, 2006

* China National Teaching Achievement Award,1st Class, 2005

* Shanghai Science and Technology Advanced Award, 1st Class, 2004

2012--2015  Guest Scienst    DFKI   Germany

2012--2015   Visiting Professor  Essex University  U.K  


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