Workshop Topics

With the rapid development of Massive Online Open Course (MOOC), web 2.0 online communities, social media, and mobile technologies in the big data era, there has been fast proliferation of learning resources such as online learning communities, open course videos, and learning materials (e.g., web pages, animations and documents). Such a large volume of learning data requires users to build up effective skills of information organization and management. To achieve this goal, it is essential to develop powerful and versatile user model, containing various user information such as learning preferences, styles, backgrounds, pre-knowledge and contexts. This user model can be exploited and applied to a range of web-based learning applications such as personalized learning paths discovery, learning resource recommendations, course opinions and sentiment analysis.

The International Workshop on User Modeling for Web-based Learning in conjunction with SETE 2016 will bring together the academia, researchers, and industrial practitioners from computer science, information systems, education, psychology and behavior science disciplines, and provide a forum for recent advances in the field of user modeling, data mining, social computing and big data analytics, from the perspectives of web-based learning.

Topics of interest include, but are not limited to the exploitation of user modeling for web-based learning, the identification of semantics underlying large volume of user data for user modeling and efficient algorithms for e-learning data management, and the applications of user modeling for web-based learning in the following research fields:

User and learning resource modeling
User and learning resource pattern mining
User profiling and personalization
User log mining and analytics
Learning resource semantics extractions
Learning resources recommendation and search
Index and management of learning resources
Ontology mining and modeling for learning users
Context modeling for users
Social computing and analysis for users
Data management on learning resources
Sentiment analysis for user review
Opinion mining on learning resources
Cognitive-based user modeling
Learning style and methodology modeling
Learning assessments modeling
User modeling for domain-specific applications (e.g., language learning, mathematics education)

Paper Submission

We welcome the following types of submissions:

Long paper (max. 10 pages)
Short paper (max. 6 pages)

It is planned to publish revised selected papers of the SETE 2016 satellite workshops as a Springer Lecture Notes in Computer Science (LNCS) post-proceedings.

All submissions must be in PDF format. Authors should avoid the use of non-English fonts to avoid problems with printing and viewing the submissions. All accepted papers MUST follow strictly the instructions for LNCS Authors. Springer's LNCS site offers style files and information.
Paper Reviewing and Selection Process

Each paper will be reviewed by at least two reviewers from the workshop chairs and program committees. Reviewers are selected based on whether they are familiar with topics of the paper or not and whether there is a conflict of interests with authors or not. The reviewers write full reviews that will be later returned to the authors anonymously. In unusual cases, such as when an external reviewer fails to deliver a review on time, PC chairs will invite other reviewers who have sufficient expertise but are not among the program committee members. In those cases, at least two PC chairs will examine the review comments to ensure the quality of the review. Accepted papers will be selected based on the mean scores by reviewers.
Workshop Chairs

Yanghui Rao, Sun Yat-sen University, China
raoyangh@mail.sysu.edu.cn
Wei Chen, Chinese Academy of Agricultural Sciences, China
chenwei@caas.cn
Yunhui Zhuang, City University of Hong Kong, Hong Kong
yhzhuang2-c@my.cityu.edu.hk

Workshop Organizers (Program Committees)

Raymong Y. K. Lau, City University of Hong Kong, Hong Kong
Jiming Liu, Hong Kong Baptist University, Hong Kong
Neil Y. Yen, University of Aizu, Japan
Raymong Wong, Hong Kong University of Science and Technology, Hong Kong
Yunjun Gao, Zhejiang University, China
Ke Li, Michigan State University, USA
Chung Keung Poon, Caritas Institute of Higher Education, Hong Kong
Wong Tak Lam, Hong Kong Institute of Education, Hong Kong
Jianfeng Si, Institute for Infocomm Research, Singapore
Xi Tan, Purdue University, USA
Xudong Mao, Alibaba, China
Haoran Xie, The Hong Kong Institute of Education, Hong Kong
Di Zou, The Hong Kong Polytechnic University, Hong Kong
Wenyin Liu, City University of Hong Kong, Hong Kong
Xun Xiao, Huawei European Research Center, Germany
Shaojie Qiao, Southwest Jiaotong University, China
Jianke Zhu, Zhejiang University, China
Derong Shen, Northeastern University, China
Wenji Ma, Columbia University, USA
Jing Yang, Research Center on Fictitious Economy & Data Science CAS, China
Yuqing Sun, Shangdong University, China
Jian Chen, South China University of Technology, China
Yangqiu Song, University of Illinois at Urbana-Champaign, USA
Zhiwen Yu, South China University of Technology, China
Shaoxu Song, Tsinghua University, China

Important Dates

1st July, 2016: Submission of workshop papers
29th July, 2016: Notification of acceptance
20th August, 2016: Camera-ready and registration due
26th - 29th October, 2016: Workshop in Rome