Track 9. Technology Enhanced Language Learning (TELL@ICALT2014)

Track Chairs

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

Track Program Committee

  • Jiyou Jia, Peking University, China
  • Vincent Tam, University of Hong Kong, Hong Kong
  • Jie-Chi Yang, National Central University, Taiwan 
  • Yuping Wang, Griffith University, Australia
  • Ying Cheng, Peking University, China
  • Gloria Shu Mei Chwo, Hungkuang University, Taiwan
  • Yoshiko Goda, Kumamoto University, Japan
  • Yanhui Han, Open University of China, China
  • Hsiu-Ting Hung, National Kaohsiung First University of Science and Technology, Taiwan
  • Wendy Jiang, University of Queensland, Australia
  • Qun Jin, Waseda University, Japan
  • Claire Kennedy, Griffith University, Australia
  • Chih-Hung Lai, National Dong Hwa University, Taiwan
  • Leon Lei, University of Hong Kong, Hong Kong
  • Haining Liang, Xi’an Jiaotong-Liverpool University, China
  • Chih-Cheng Lin, National Taiwan Normal University, Taiwan
  • Andrew Scrimgeour, University of South Australia, Australia
  • Jiewei Wu, Peking University, China
  • Wen-Chi Vivian Wu, Providence University, Taiwan
  • Masanori Yamada, Kyushu University, Japan

Track Description and Topics of Interest

The diverse structures and usage of different languages in various aspects including the interactions, social contexts, pronunciations, explicit/implicit semantic meanings and syntactic structures, etc. readily present much 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 daily communication. However, due to the impacts of globalization, language learning is becoming a very crucial and life-long activity for most people to communicate and participate in global business or large-scale projects involving experts across the continents or even 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 difficulties/hurdles of language learning is expected to be reduced and possibly further reduced with new and innovative methods/technologies. This specific track of “Technology Enhanced Language Learning” (TELL@ICALT2014) is targeted to provide an exciting forum for educators, practitioners and researchers to exchange and share their inspiring and innovative ideas/ experiences in this interesting cross-over field where technologies may possibly be used as tools to enhance language learning in various aspects, dimensions or ways of our daily living or 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
  • 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 for Language Learning
  • Learning Analytics and Context modeling for Language Learning

Important dates about ICALT 2014 submissions can be found here.

The ICALT 2014 Author Guidelines can be found here.

The Track 9 CfP can be downloaded from here: