The 1st International Symposium on User Modeling and Language Learning (UMLL)
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2017-04-14
广东外语外贸大学
信息学院 / 语言工程与计算机广东省重点实验室

The 1st International Symposium on
User Modeling and Language Learning
(UMLL)

http://sete-umll.org/


Symposium Topics

With the rapid development of Massive Open Online Courses (MOOCs), Web 2.0 online communities, social media, and mobile technologies in the big data era, there is a fast growth of learning resources such as online learning communities, open course videos, and other learning materials (e.g., Web pages, animations and documents). Confronting such a large volume of data, learners need an effective and efficient way to information organization. To achieve this goal, a powerful and versatile user model, which may contain various types of user information such as learning preferences, plans, pre-knowledge levels and contexts, is essential and critical. Such a user model can be exploited and applied in various Web-based learning applications like personalized learning paths discovery, learning resource recommendations, course opinions and sentiment analysis.

The first International Symposium on User Modeling and Language Learning is in conjunction with the 2nd International Symposium on Emerging Technologies for Education (http://2017.isete.net/) in Cape Town, South Africa during September 20–22, 2017. The aim of this symposium is to provide a forum for MOOC developers, e-learning developers, computational linguists, language educators, curriculum planners, material writers, and academia and industrial practitioners from disciplines of computer science, information systems and education to discuss recent advances in user modeling from perspectives of language learning. Authors of either theoretical or practical articles on user modeling and language learning, MOOCs or blended learning are encouraged to attend this symposium, explore potential education-oriented strategies, and create opportunities for future research collaborations.

We appreciate the interest and support of all attendees. Special thanks go to the ICWL organizers and Program Committee members. We are grateful to their hard work and the contributions of all the authors.

Topics of interest include, but are not limited to the exploitation of user modeling and language 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 and language learning in research fields related to (but not limited to):

  • User and learning resource modeling

  • User profiling and personalization

  • Learning resources recommendation and search

  • Ontology mining and modeling for learning users

  • Context modeling for users

  • Sentiment mining for user review

  • Cognitive-based user modeling

  • Learning style and methodology modeling

  • Learning assessments modeling

  • Computer-assisted language learning (CALL)

  • Mobile-assisted language learning (MALL)

  • Computer-based language assessment

  • Emerging technologies for language learning and teaching

  • Evaluation of existing technologies for language learning and teaching

  • Theoretical foundations of technology enhanced language learning (TELL)

  • Technical applications of TELL

  • Development of TELL

  • Assessment of TELL

  • Blended learning and TELL

  • Online teaching tools and platforms

  • Socio-educational perspectives and implications of TELL

  • TELL in multimodal environments

  • Data-driven learning (DDL) and TELL

  • Direct and indirect application of DDL in TELL

  • Corpora in language teaching


Paper Reviewing and Selection Process

Each paper will be reviewed by at least two reviewers from the symposium chairs and program committee members. Reviewers are selected based on their familiarity with the topics. Necessary procedures are to be carried out to avoid potential conflicts of interests during the review process, and review reports from the reviewers will be 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 given by reviewers.

As part of the International Symposium on Emerging Technologies for Education (SETE) 2017, all accepted papers of this symposium will be included in the SETE Proceedings, which will be published in Springer's Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Compendex, DBLP, etc. Springer will also sponsor a Best Paper Award.


Symposium Chairs

  • Di Zou, The Hong Kong Polytechnic University

  • Tianyong Hao, Guangdong University of Foreign Studies

  • Wei Chen, Chinese Academy of Agricultural Sciences, China

  • Tak-Lam Wong, The Education University of Hong Kong

Symposium Honorary Chairs

  • Fu Lee Wang, Caritas Institute of Higher Education

  • Reggie Kwan, Open University of Hong Kong

  • Gwo-Jen Hwang, National Taiwan University of Science and Technology

Publicity Chairs

  • Haoran Xie, The Education University of Hong Kong, Hong Kong

  • Yi Cai, South China University of Technology, China

  • Xiaohui Tao, Southern Queensland University, Australia

  • Qiping Wang, City University of Hong Kong, Hong Kong

  • Yanghui Rao, Sun Yet-San University, China

  • Yunhui Zhuang, City University of Hong Kong, China

Program Committee

  • Haoran Xie, The Education University of Hong Kong, Hong Kong

  • Simon Wang, City University of Hong Kong, Hong Kong

  • Yang Peng, Hong Kong Oversea Study & Service Centre, Hong Kong

  • Yanghui Rao, Sun Yat-sen University, China

  • Yi Cai, South China University of Technology, China

  • Raymong Y. K. Lau, City University of Hong Kong, Hong Kong

  • Yunhui Zhuang, City University of Hong Kong, Hong Kong

  • Xudong Mao, City University of Hong Kong, China

  • Wenyin Liu, Guangdong University of Technology, China

  • Sudeng Hu, Apple Inc., USA

  • Qingyuan Wu, Beijing Normal University, China

  • Wenji Ma, Columbia University, USA

  • Tao Wang, Southampton University, UK

  • Guangliang Chen, TU Delft, The Netherland

  • Shili Ge, Guangdong University of Foreign Studies, China

  • Haijun Zhang, Harbin Institute of Technology, China

  • Chunxia Zhang, Beijing Institute of Technology, China

  • Ke Niu, Beijing Information Science and Technology University, China

  • Peipei Gu, Zhengzhou University of Light Industry, China


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