Technology and Language Teacher Education
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Teacher Education".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1031
Special Issue Editors
Interests: English language teacher education; reflective practice; continuous professional development; applied corpus linguistics; technology-enhanced language learning
Interests: English language teaching and teacher education; corpus linguistics; discourse analysis; technologies and language teaching/learning; computer-mediated communication
Special Issue Information
Dear Colleagues,
The centrality of technology in language teaching, and therefore teacher education, has been compounded by the unprecedented technological developments the world has witnessed in recent decades. In addition, the impact the COVID-19 pandemic and related lockdowns had during 2020–2021 caused a forced move to online and hybrid modes of teaching and learning, which have continued to have a disruptive influence on educational systems. The rapid pace of both of these developments behoove us to critically evaluate the place of technology in language teacher education contexts, both as a learning tool for student teachers as well as a pedagogic tool for their future practices. The aim of this Special Issue is to provide a focused platform for the sharing of professional practices as well as to help to provide a critical evaluation of the integration of technology across various components of the curriculum in language teacher education programmes and contexts. It does not extend to an examination of technology in the language learning classroom. Papers should be research-based or provide a robust theoretical/systematic discussion of the field.
The following are broad suggested themes:
- Online and blended learning;
- Artificial intelligence;
- Interactive and collaborative technologies (including social media);
- Corpora and data-driven learning;
- Purpose-designed technological resources;
- Other relevant papers at the discretion of the editors.
The Guest Editors are happy to review proposals in advance of full submission in order to ensure appropriate alignment with the theme of the SI.
Prof. Dr. Fiona Farr
Dr. Elaine Riordan
Guest Editors
Manuscript Submission Information
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Keywords
- technology
- languages
- teacher education
- online learning
- corpus linguistics
- collaborative technologies
- artificial intelligence
- CALL
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