Track 9. Technology Enhanced Language Learning (TELL@ICALT2016)

Track Chairs

Jia Jiyou Jia, Peking University, China
Tam Vincent Tam, University of Hong Kong, Hong Kong [Coordinator -]
Yang Jie-Chi Yang, National Central University, Taiwan
Wang Yuping Wang, Griffith University, Australia

Track Program Committee

  • Alvin Kwan, University of Hong Kong, Hong Kong
  • Andrew Scrimgeour, University of South Australia, Australia
  • Chih-Hung Lai, National Dong Hwa University, Taiwan
  • Claire Kennedy, Griffith University, Australia
  • Daniel Churchill, University of Hong Kong, Hong Kong
  • Edmund Y. Lam, University of Hong Kong, Hong Kong
  • Gloria Shu Mei Chwo, Hungkuang University, Taiwan
  • Hsiu-Ting Hung, National Kaohsiung First University of Science and Technology, Taiwan
  • K.S. Lui, University of Hong Kong, Hong Kong
  • Masanori Yamada, Kyushu University, Japan
  • Morris Jong, Chinese University of Hong Kong, Hong Kong
  • Weichao Chen, School of Medicine, University of Virginia
  • Weizhan Zhang, Xi’an Jiaotong University, China
  • Wen-Chi Vivian Wu, Providence University, Taiwan
  • Yanhui Han, Open University of China, China
  • Yi Shang, University of Missouri, Columbia, U.S.A.
  • Yoshiko Goda, Kumamoto University, Japan
  • Zhenzhen Chen, Beijing University of Post and Telecommunication

Track Description and Topics of Interest

The diverse structure and usage of languages in various aspects including interactions, social contexts, pronunciations, explicit/implicit semantic meanings and syntactic structures readily present many challenges for local or foreign learners of any age or level of education to learn one/several language(s) and effectively use it/them for communication. However, due to the impacts of globalization, language learning is becoming a very crucial and life-long activity for many who wish to communicate and participate in business or large-scale projects involving experts from around the globe. With enabling technologies such as affective and pervasive computing, cloud and mobile computing, e-books, intelligent e-learning systems, semantic web and ontology analysis, smart sensors, social computing, Web 2.0 and knowledge management techniques and new pedagogical impacts developed and studies in the past decade, the challenge of language learning is expected to be reduced with new and innovative methods/technologies. This specific track of “Technology Enhanced Language Learning” (TELL@ICALT2016) is targeted at providing an exciting forum for educators, practitioners and researchers to exchange and share their inspiring and innovative ideas and experiences to enhance language learning in various aspects and dimensions of the learning processes.

Topics of interest include but are not limited to:

  • Learning Systems Platforms and Architectures for Language Learning
  • Rethinking Pedagogy in Technology-enhanced Learning of Languages
  • Intelligent Educational Systems for Language Learning
  • Computer Supported Collaborative Language Learning
  • Mobile Learning Platforms/Systems for Language Learning
  • Wireless and Ubiquitous Computing Technologies for Language Learning
  • Ambient Intelligence and Smart Environments for Language Learning
  • Web 2.0 and Social Computing for Learning and Knowledge Sharing of Languages
  • Semantic Web and Ontologies for Language Learning Systems
  • Affective and Pervasive Computing for Language Learning
  • Human-Centered Web Science and its Applications to Technology-enhanced Language Learning
  • e-Assessment and new Assessment Theories and Methodologies for Language Learning
  • Data Mining and Web Mining for Language Learning
  • Knowledge and Competencies Management for Language Learning
  • School of the Future and Future Classrooms to Learn Languages
  • E-learning in the Workplace for Language Learning
  • Cloud-based Learning and Assessment for Language Learning
  • E-textbooks/Library Media Supports for Language Learning
  • Learning Analytics and Context modeling for Language Learning
  • Teacher Education/Training for Language Learning


Important dates about ICALT 2017 submissions can be found here.

The ICALT 2017 Author Guidelines can be found here.

The Track 9 CfP can be downloaded from here:

  • .txt version
  • .doc version