The 4th International Symposium on User Modeling and Language Learning (UMLL 2020)
1. Symposium Chairs:
  • Tak-Lam Wong, The Education University of Hong Kong, tlwong@eduhk.hk
    Tak-Lam Wong received his BEng, MPhil, and PhD degrees from The Chinese University of Hong Kong in 2001, 2003, and 2006, respectively. He is currently an Assistant Professor at The Education University of Hong Kong. His research interests lie in the areas of Web mining, information extraction, machine learning, knowledge management, and e-Learning. He has published papers in a number of journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, and ACM Transactions on Information Systems.
  • Di ZouThe Hong Kong Polytechnic University, daisy.zou@polyu.edu.hk
    Di Zou is a language instructor in English Language Centre, The Hong Kong Polytechnic University. She received her BA, BBA and MA from Huazhong University of Science and Technology, PhD from City University of Hong Kong, and CertTESOL from Trinity College London. Her research interests include second language acquisition, vocabulary acquisition, technology-enhanced language learning and e-learning systems. Before joining HK PolyU, she was a visiting fellow at the City University of Hong Kong. She has been teaching English at tertiary level in China and Hong Kong for several years. She has over 30 publications in journals, conference proceedings and books, including IEEE Multimedia, Language Teaching Research, Lexikos, British Journal of Educational Technology, International Journal of Innovation and Learning, and International Journal of Distance Learning Technologies. She is the Co-Chair of the 1st International Workshop on Emerging Technologies for Language Learning (ETLL 2016) and the 2nd International Workshop on User Modeling for Web-based Learning (IWUM 2016). She is also the PC Member of the 16th International Conference on Web-based Learning (ICWL 2017).
  • Tianyong Hao, South China Normal University, haoty@m.scnu.edu.cn
    Tianyong Hao is a Professor at South China Normal University. He received his Ph.D. degree in Computer Science at City University of Hong Kong in 2010. He visited York University, Canada, in 2008 and Emory University, USA, from 2009 to 2010. After that, he worked as a Research Fellow at City University of Hong Kong from 2010 to 2012. He visited University of New South Wales, Australia, in 2012 and then worked as a Postdoctoral Research Scientist at Columbia University until 2014. Dr. Hao is an IEEE senior member and members of ISO TC37 committee, SAC TC52 committee, CIPS Youth working committee, CIPS Biomedical Informatics committee, and CCF Chinese Information Technology committee. He also serves as a reviewer for IEEE Transactions on Industry Informatics, ACM Transactions on Intelligent Systems and Technology, KAIS, Journal of Biomedical Informatics, as well as top-tier conferences such as AMIA. He has published more than 60 SCI/EI indexed papers on journals and conferences including TKDE, ACM Trans. on ALIP, Journal of Biomedical Informatics, JAIST, Knowledge-Based Systems, NAACL, WWW etc. He is the PI of 10 invention grants including 2 National Science Foundation of China. He owns 2 proposed international standards issued by ISO, 4 granted invention patents including 1 US patent, 14 national software copyrights, and 6 best paper awards from international conferences.
2. Symposium Honorary Chairs:
  • Fu Lee Wang, The Open University of Hong Kong, pwang@ouhk.edu.hk
    Fu Lee Wang is a professor and school dean in The Open University of Hong Kong. He received his BEng and MPhil from The University of Hong Kong, MSc from The Hong Kong University of Science and Technology, MBA from Imperial College London, and PhD from The Chinese University of Hong Kong. His research interests include electronic business, information retrieval, information systems and e-learning. Before joining Caritas, he was a faculty member at the City University of Hong Kong. He has published over 100 papers in international journals and conferences, including Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Information Processing Letters, IW3C, SIGIR, and more. He has edited 20 books. He is Past Chair of ACM Hong Kong Chapter and Chair of IEEE Hong Kong Section Computer Society Chapter. He also serves as programme/conference chair of a number of international conferences.
  • Gwo-Jen Hwang, National Taiwan University of Science and Technology
    Gwo-Jen Hwang is currently a Chair Professor and Dean of College of Liberal Arts and Social Sciences at National Taiwan University of Science and Technology. Dr. Hwang received his Ph.D. degree in Computer Science and Information Engineering from the National Chiao Tung University in Taiwan in 1991. He serves as an editorial board member and a reviewer for more than 30 academic journals of educational technology and e-learning. He has also been the principal investigator of more than 100 research projects funded by National Science Council and Ministry of Education in Taiwan. His research interests include mobile and ubiquitous learning, digital game-based learning, adaptive learning, and artificial intelligence in education. Currently, he is the associate editor of IEEE Transactions on Learning Technology (SSCI) and the executive editor of International Journal of Mobile Learning and Organisation. He has also served as the guest editor of Educational Technology & Society (SSCI), Educational Technology Research & Development (SSCI) and Interactive Learning Environments (SSCI).Dr. Hwang has published more than 500 academic papers, including more than 200 journal papers and 300 conference papers. Among those publications, nearly 120 papers are published in SSCI journals. Owing to the good reputation in academic research and innovative inventions in e-learning, he received the annual most Outstanding Researcher Award from the National Science Council of Taiwan in the years of 2007, 2010 and 2013. Moreover, he has been invited as keynote speakers in several international conferences.
3. Steering Committee Chairs
  • Haoran Xie, The Education University of Hong Kong, Hong Kong
  • Wei Chen, Chinese Academy of Agricultural Sciences, China
  • Yi Cai, South China University of Technology, China
4. Publicity Chairs:
  • - Xiaohui Tao, Southern Queensland University, Australia
  • - Qiping Wang, City University of Hong Kong, Hong Kong
  • - Yanghui Rao, Sun Yet-San University, China
5. Topics:
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 for education 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
6. Relevance of the symposium to the conference
This symposium focuses on user modeling and language learning, discussing how related areas can be further developed. The topics of interest of this symposium are in line with the conference theme: emerging technologies for education, and are specifically oriented towards user-modeling and language learning.
7. Target audience
This symposium will interest 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. Authors of either theoretical or practical articles on user modeling and language learning, MOOCs or blended learning are also encouraged to attend this symposium, explore potential education-oriented strategies, and create opportunities for future research collaborations.
8. Expected number of participants
We expect 10 participants in this symposium.
9. Goals and format
This symposium will mainly be in the format of oral presentations.
Also, we welcome the following types of submissions: Long paper (8-10 pages); Short paper (4-6 pages).
A draft of the symposium's call for papers
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 fourth International Symposium on User Modeling and Language Learning is in conjunction with The 5th International Symposium on Emerging Technologies for Education (http://icwl.org.cn/Sete.html) in Ningbo, China during October 22-24, 2020. 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
1. Important Dates
  • July 10, 2020: Submission of papers
  • August 10, 2020: Notification of acceptance
  • August 31, 2020: Camera-ready due
  • October 22-24, 2020: Symposium in Ningbo, China
2. URL of Symposium website
The proposed site is: http://sete-umll.org/2020/ (Tentative)
3. Program Committee
  • Simon Wang, City University of Hong Kong, Hong Kong
  • Haoran Xie, The Education University of Hong Kong, Hong Kong
  • Tianyong Hao, South China Normal University, China
  • 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
  • Yuanyuan Mu, Hefei University of Technology, China
  • Yu Song, South China Normal University, China
4. Paper Reviewing and Selection Process
Each paper will be reviewed by at least two reviewers from the symposium chairs and program committees. 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) 2020, 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.
5. Expected Duration of the Symposium
Expected Duration of the Symposium