CALL FOR PAPERS
Deadline: January 13th, 2023
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@ICALT) 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:
- TELL theoretical foundations and perspectives
- Virtual Reality (VR) and Augmented Reality (AR) platforms/apps, content management systems integrating external tools that improve student motivation and enable greater exposure to target languages
- Hardware and software technologies applicable to TELL
- Artificial Intelligence (AI) in language learning
- Innovative instructional design and approaches to enhance language learning
- Application of big data in language research
- 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
- Online interaction as driver to boost language interaction skills
- Content development and management for TELL
- Brendan FLANAGAN, Kyoto University, Japan
- Siao-Cing GUO, National Taipei University of Business, Taiwan
- Feifei HAN, Australian Catholic University, Australia
- Hsu-Wen HUANG, City University of Hong Kong, Hong Kong
- Michael JIANG, Shenzhen Technology University, China
- Regina KAPLAN-RAKOWSKI, University of North Texas, United States
- Neil LEVERIDGE, The University of British Columbia, Canada
- Reza MOGAVI, The Hong Kong University of Science and Technology, Hong Kong
- Stylianos MYSTAKIDIS, University of Patras, Greece
- Wanwisa WANNAPIPAT, Khon Kaen University, Thailand
- Dong YANG, Beijing Normal University, China
- Xian ZHANG, UNT, United States