The rapid advancement in video technologies in recent years has made the creating and editing of subtitles for a video increasingly feasible. For a long time, however, the pedagogical potentials of subtitling in language teaching and learning have been neglected. To fill this gap, this technology review introduces "VisualSubSync," a free…

Adopting Oxfam's key elements of education for global citizenship, this case study investigates how digital storytelling, a participatory media practice, is used for citizenship education among Chinese college students. A thematic analysis of in-depth interviews suggests digital storytelling can be used as an effective pedagogical tool as students…

Editing and revising is a necessary, yet complex, stage of the writing process that is challenging for students with and without disabilities. One solution to improve overall writing outcomes is with strategy instruction, such as the Strategic Instruction Model for writing. More specifically, strategies such as the Error Monitoring Strategy, that…

The rapid advancement of Artificial intelligence (AI) technologies has made new opportunities available in language education. This qualitative study investigates using generative AI tools by university English as a Foreign Language (EFL) students to create podcasts for language learning. The research was based on 80 undergraduate students who…

In many contexts of contemporary ELT, the L2 can be widely encountered beyond the classroom. In these settings, teachers need to maximize opportunities for meaningful participation. Digital video production (DVP) provides one such opportunity. Little, however, is known about the types of DVP common in particular contexts of ELT, the extent to…

The concept 'literacy crisis' has framed ChatGPT's popularity, its rapid evolution, and its seemingly sophisticated language and knowledge performance. The concept helps scholars and teachers easily enter conversations about artificial intelligence (AI) text generation technologies and how they transform the notions of authorship, research, labor,…

In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

This study investigates the application of machine translation (MT) in an EFL writing class and its impact on lower proficiency level writers. Theoretically grounded in the social nature of learning, the MT-based writing class is applied to students in four steps: planning, drafting with MT, revising MT output, and individual writing with MT. The…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…

Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…

Giving effective writing feedback can be a challenge for any English instructor. Teaching students how to provide peer feedback can be problematic as well. Both these challenges may seem even more apparent when teaching online during a pandemic. Using Google Docs for collaborative writing feedback is one effective method for addressing both these…

Numerous studies of written language development have shown minimal improvement over the course of an instructional period, yet these solely text-based studies offer little explanation for the lack of changes in writers' language because little is reported about the classroom and the participants. The purpose of this study is to use goal theory to…

This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts into target languages in a fully automatic mode which can be classified according to the…

The College of Languages and Translation (COLT) prepares translators and interpreters. Some of the courses that the students take are language courses such as listening, speaking, reading, writing, vocabulary, grammar, and 4 types of interpreting courses (simultaneous, consecutive, liaison and sight). COLT has installed 4 multimedia language labs…