2nd International Workshop on Technology-Enhanced Social Learning (TESL2013)

To be held in conjunction with IEEE iThings/CPSCom 2013

Sponsored by IEEE CS Beijing, China, August 20–23, 2013

Introduction

The 2nd International workshop on Technology-Enhanced Social Learning will be jointly held with the 2013 World Cybermatics Congress (http://www.china-iot.net) in Beijing, China during August 20–23, 2013. This workshop aims to provide a premier international forum for researchers and practitioners to discuss the most recent research on the latest developments in TESL. In particular, original ideas and research articles are solicited ranging from theoretical studies, practical applications, new communication technologies, and experimental prototypes, in order to map out the directions for future developments and the research collaborations.

With the high development of SNS (Social Network Service), learning through interaction and collaboration in a community or across a social network has become increasing popular, as more and more people are increasingly accustomed to sharing feelings, experience, and knowledge in this social networking revolution. Social learning, considered as a leading method of spreading knowledge in various environments, focuses on the learning that occurs through interactions and collaborations in a community or across a social network within a social context, which can better support both faculties and students in the education and learning process. We welcome contributions to advance high quality research in methods, theories, techniques and tools concerning the idea of social learning, in order to prompt the learning and education development in the next era.

All accepted papers in TESL2013 will be published in the Proceedings of CPSCom 2013, with IEEE Publisher, which will be indexed by EI Compedex.

After the workshop, authors of selected outstanding papers will be invited to submit extended editions of their papers to a Special Issue on Social Computing and Social Knowledge for e-Learning of IEEE Transactions on Learning Technologies.

Topics of Interest

The scopes of TESL2013will cover but not be limited to:

- Big Data and Data Mining for Social Learning

- Contents Recommendation for Social Learning

- Context-aware Learning Environments

- Evaluation and Evaluation Methodologies

- Information Fusion for Learning Support

- Pervasive HCI for Social Learning

- Social Learning for Talent Development

- Social Learning Technologies & Tools

- Social Media for Learning Professionals

- Social Learning & Training Techniques

- Social Learning in Ubiquitous/Pervasive Computing Environments

- Social Media in Learning for Education

- Social Learning: Leadership & Collaboration

- Software Agents for Social Learning

- Implementing Social Learning in Organizations

- Location-Based Service for Social Learning

- Mobile Social Networks for Learning

- Mobile Computer Supported Collaborative Learning

- User Modeling for Individualized Social Learning

- Virtual Worlds for Social Learning

- Web 2.0 for Enhanced Social Learning

Submission

Authors are invited to submit full papers (maximum 6 pages) or short papers (maximum 4 pages). Papers should be written according to the IEEE Computer Society format: http://www.computer.org/portal/web/cscps/formatting.

The PDF or WORD file of your paper should be submitted to: 2ndtesl2013@gmail.com.

Important Dates

Paper submission due: June 10, 2013(Final)

Author notification: June, 20, 2013

Camera Ready due: July 10, 2013

Conference Dates: August 20-23, 2013

General Co-Chairs

Oscar Lin, Athabasca University, Canada

Timothy K. Shih, National Central University, Taiwan

PC Co-Chairs

Chengjiu Yin, Kyushu University, Japan

Xiaokang Zhou, Waseda University, Japan

Jian Chen, University of Aizu, Japan

Steering Committee Co-Chairs

Qun Jin, Waseda University, Japan

Oscar Lin, Athabasca University, Canada

Technical Program Committee

Bob Heller, Athabasca University, Canada

Chunsheng Yang, National Research Council，Canada

Oscar Lin, Athabasca University, Canada

Hong Lin, University of Houston-downtown, USA

Shenghua Zha, James Madison University, USA

Su Cai, Beijing Normal University, China

Xiaokun Zhang, Athabasca University, Canada

Yan Dong, Beijing Normal University, China

Yushun Li, Beijing Normal University, China

Maiga Chang, Athabasca University, Canada

Bob Apduhan, Kyushu Sangyo University, Japan

Yiwei Cao, IMC AG, Germany

Kiss Gabor, Obuda University, Hungary

Roman Y. Shtykh, Waseda University, Japan

Neil Y. Yen, University of Aizu, Japan

Ashraf Uddin Ahmed, Waseda University, Japan

JieChi Yang, National Central University, Taiwan

Chih-Kai Chang, National University of Tainan, Taiwan

Ching-Kun Hsu, National Taiwan Normal University, Taiwan

Hsiu-Ting Hung, National Kaohsiung First University of Science and Technology, Taiwan

Chih-Hung Lai, National DongHwa University, Taiwan

Fang-Chuan Ou Yang, Ching Yun University, Taiwan

Junbo Wang, University of Aizu, Japan

Peng Li, University of Aizu, Japan

Wen-Chi Vivian Wu, Providence University, Taiwan

Kuo-Yu Liu, Povidence University, Taiwan

Chang-Ju Yang, Hungkuang University, Taiwan

Yongbin Hu, Beijing Normal University, China

Wu He, Old Dominion University, USA

Guan-Yu Lin, National Chung Cheng University, Taiwan

Yunwu Wang, Beijing Normal University, China

Xianmin Yang, Beijing Normal University, China

Natalie Wu, Chien-kuo Technology University, Taiwan

Fei-Hsuan Liao, Chien-kuo Technology University, Taiwan

Carol H.C. Chu, Soochow University, Taiwan