TELL

Track 9. Technology Enhanced Language Learning (TELL@ICALT2017)

Track Program Chairs

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, 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 such as data analytics, cloud computing, maker spaces, 3D printing, wearable technologies, augmented reality and intelligent systems. This specific track of “Technology Enhanced Language Learning” (TELL@ICALT2017) is targeted at providing an exciting forum for educators, practitioners and researchers to exchange and share their inspiring and innovative ideas and experiences to explore the potential to transform teaching, learning and assessment both in formal education (at all levels) and informal learning.

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
  • VR & AR for language learning
  • Wearable technology for language learning
  • Emerging technology for language learning

Track Program Committee

Linda Bradley, Chalmers University, Sweden

Luis Cerezo, American University, USA

Mei-Mei Chang, National PingTung University of Science and Technology, Taiwan

Zhi-Hong Chen, National Taiwan Normal University, Taiwan

Gloria Shu Mei Chwo, Hungkuang University, Taiwan

Giulia Messina Dahlberg, University och Skövde, Sweden

Irina Engeness, University of Oslo, Norway

Yoshiko Goda, Kumamoto University, Japan

Gisela Granena, Universitat Oberta de Catalunya, Spain

Shu-Chun Ho, National Kaohsiung Normal University, Taiwan

Dennis Koyama, New York University, USA

Chun Lai, University of Hong Kong, Hong Kong

Lina Lee, University of New Hampshire, USA

Yi-Chun Liu, Chia Nan University of Pharmacy & Science, Taiwan

Aubrey Neil Leveridge, University of British Columbia, Canada

Atsushi Mizumoto, Kansai University, Japan

Anders I. Mørch, University of Oslo, Norway

Kristi Newgarden, University of Connecticut, USA

Sabrina Priego, Laval University, Canada

Laxmisha Rai, Shandong University of Science and Technology, China

Barry Lee Reynolds, University of Macau, Macau

Katrin Saks, University of Tartu, Estonia

Yu-Chih Sun, National Chiao Tung University, Taiwan

Wanwisa Vanessa Wannapipat, Khon Kaen University, Thailand

Ting-Ting Wu, National Yunlin University of Science and Technology, Taiwan

Masanori Yamada, Kyushu University, Japan

Tosh Yamamoto, Kansai University, Japan

Hui-Chin Yeh, National Yunlin University of Science and Technology, Taiwan

Choongil Yoon, Ewha Womans University, South Korea

Wen Yun, Nanyang Technological University, Singapore

Lanqin Zheng, Beijing Normal University, China

Yanqun Zheng, Beijing Language and Culture University, China

Baichang Zhong, Nanjing Normal University, China

Katerina Zourou, University Grenoble III, France

Pei-Lin Liu, National Chiayi University, Taiwan

H. Müge Satar, Newcastle University, UK


Important Dates about ICALT 2017 can be found here.

The ICALT 2017 Author Guidelines can be found here.

The ICALT 2017 CfP can be found here.