Nov. 11-12, 2021, Zhuhai, China
The 4th International Workshop on Educational Technology for Language Learning (ETLL 2021)
With the rapid development of information technology, educational technology has almost become indispensible for language and translation learning ranging from traditional multimedia tools to modern VR and MR equipment. Educational technology is the use of both physical hardware and educational theoretics. It encompasses several domains including learning theory, computer-based training, online learning, and where mobile technologies are used, m-learning. Both theory and application researches are important for language and translation proficiency improvement of various learners. Therefore, this workshop aims at serving as a meeting point for researchers, educationist and practitioners to discuss state-of-the-art and in-progress researches, exchange ideas and share experiences about educational technology for language and translation learning from the perspectives of both theory and application. We hope that the implications of findings of each work presented in this workshop can be used to improve the development of language and translation educational environments.
1.Artificial Intelligence(AI) and Language Teaching and Learning
2.Deep Learning Application in Language Teaching and Learning
3.Machine Learning and Language Teaching and Learning
4.Big Data and Data privacy in Language Teaching and Learning
5.Online Video Based Language Teaching and Learning
6.Application of VR and MR in Language Teaching and Learning
7.Game-based Language Learning and Translation Training
8.Massive Open Online Courses (MOOC) for Language Learning
9.Small Private Online Course (SPOC) for Language Learning
10.Collaborative Technology Supported Language Teaching and Learning
11.E-Learning Platforms and Tools for Language Teaching and Learning
12.Mobile, Situated and Blended Learning of Languages
13.Digital Libraries and Corpora for Language Learning and Translation Training
14.Technology Supported Assessment for Language Teaching and Learning
Submissions must not exceed 12 pages in LNCS (Lecture Notes in Computer Science) format. We encourage authors to cite related work comprehensively, and when citing conference papers please also consider to cite their extended journal versions if applicable.
All submissions must be in PDF format. Authors should avoid the use of non-English fonts to avoid problems with printing and viewing the submissions. All accepted papers MUST follow strictly the instructions for LNCS Authors. Springer's LNCS site offers style files and information.
There are two tracks for the workshop:
Long Papers: 10-12 pages
Short Papers: 6-8 pages
All questions about submissions should be emailed to email@example.com