Track Program Chairs

Track 8-TELL-TPC Chair Coordinator-Sridhar Chimalakonda

Sridhar Chimalakonda [coodinator]

Indian Institute of Technology Tirupati, India
profile

Rafael Araújo

Federal University of Uberlandia, Brazil
Track 8-TELL-TPC Co-Chair-Cheng-Ting Chen

Cheng-Ting Chen

Chung Yuan Christian University, Taiwan
Track 8-TELL-TPC Co-Chair-Katrin Saks

Katrin Saks

University of Tartu, Estonia
Track 8-TELL-TPC Co-Chair-Jorge Jose Villalon

Jorge Villalón

Universidad Adolfo Ibáñez, Chile
Track 8-TELL-TPC Co-Chair-Yun Wen

Yun Wen

National Institute of Education, Nanyang Technological University, Singapore
Track 8-TELL-TPC Co-Chair-Di Zou

Di Zou

The Education University of Hong Kong, Hong Kong

Track Description and Topics of Interest

Throughout the years, we have seen obstacles being laid on teachers’ and students’ way teaching and learning in a traditional classroom. How we could create more immersive and interactive learning opportunities for language learners has drawn many researchers’ attention. One of the solutions is technology. Technology can be used to improve language learning ability in many ways. It can enhance and sustain the interest levels for digital natives by allowing immediate feedback on performance and providing added practice when necessary. Recent research shows that students are able to improve their language fluency and comprehension through technology-based learning.

To respond the increasing demands of exploiting technology in practical language learning settings, the Track on Technology-Enhanced Language Learning (TELL@ICALT2018) invites the researchers and practitioners of educational and training applications in TELL. Candidate papers can describe assessments of technological developments on language learning and teaching, literature reviews addressing current issues and innovative research in the area of technology enhanced language learning, and practice experiences addressing the use of technology in language learning and teaching, etc. to submit original research work in the following topics, but not limited to:

  1. TELL theoretical foundations and perspectives
  2. Hardware and software technologies applicable to TELL
  3. Artificial Intelligence (AI) in language learning
  4. Virtual Reality (VR) platforms, content management systems integrating external tools that improve student motivation and enable greater exposure to target languages
  5. Language lesson design and assessment in Moocs
  6. Application of big data in language research
  7. Practical examples of language learning courses that experimented with any or several of the following tools: e-portfolios, quizzes, infographics, mind-maps, and mobile apps among others
  8. Online interaction as driver to boost language interaction skills
  9. Content development and management for TELL
  10. Assessment and evaluation of TELL

Track Program Committee

John Atkinson, Universidad Adolfo Ibáñez, Chile
Gabriela Báez, Universidad de Chile, Chile
Alejandra Beghelli, Universidad Adolfo Ibáñez, Chile
Taffarel Brant Ribeiro, Federal Institute of Southern Minas Gerais, Brazil
Renan Cattelan, Federal University of Uberlandia, Brazil
Chiu-Jung Chen, National Chia-Yi University, Taiwan
I-Hua Chen, QuFu Normal University, China
Kristina Cordero, Pontificia Universidad Católica de Chile, Chile
Liliana Cuesta Medina, Universidad de La Sabana, Colombia
Marcelo Epuyao, Amazon, USA
Hans Jeria, Universidad Tecnológica de Chile, Chile
Mi Song Kim, University of Western Ontario, Canada
Heng-Yu Ku, University of Nortjern Colorado, USA
Yow-jyy Joyce Lee, National Taichung University of Science and Technology, Taiwan
Andrew Lian, Suranaree University of Technology, Thailand
May Liu, Singapore Centre for Chinese Language Limited, Nanyang Technological University, Singapore
Yi Chun Liu, Chia Nan University of Pharmacy & Science, Taiwan
Stefania Manca, Institute of Educational Technology - National Research Council of Italy, Italia
Hiran Nonato Macedo Ferreira, Federal Institute of Education, Science and Technology of South of Minas Gerais, Brazil
Rustam Shadiev, Nanjing Normal University, China
Fu-Hsing Su, National Chiayi University, Taiwan
Olga Viberg, KTH Royal Institute of Technology, Sweden
Wen-Chi Vivian Wu, Asia University, Taiwan