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,
Timothy K. Shih,
PC Co-Chairs
Chengjiu Yin,
Xiaokang
Zhou,
Jian
Chen,
Steering Committee Co-Chairs
Qun Jin,
Oscar Lin,
Technical
Program Committee
Bob Heller,
Chunsheng Yang, National
Research Council,Canada
Oscar Lin,
Hong
Lin,
Shenghua Zha,
Su Cai,
Xiaokun
Zhang,
Yan Dong,
Yushun Li,
Maiga
Chang,
Bob
Apduhan,
Yiwei Cao, IMC AG,
Kiss
Gabor,
Roman
Y. Shtykh,
Neil Y. Yen,
Ashraf Uddin Ahmed,
JieChi
Yang,
Chih-Kai
Chang, National
Ching-Kun
Hsu,
Hsiu-Ting
Hung,
Chih-Hung
Lai,
Fang-Chuan Ou Yang,
Junbo
Wang,
Peng Li,
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