This paper sets out to bridge the gap between theory and practice by suggesting activities and resources that could be used in the audiovisual translation (AVT) classroom when training students to achieve credible and natural-sounding dialogue in dubbing. Following a competence- and task-based approach, these activities have been implemented by…

The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…

Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…

Since the establishment and development of translation and interpreting discipline in universities around the world, interpreting contests are held to (1) raise wild interests in interpreting activities; (2) promote interpreting training programs and interpreting pedagogy research; and (3) enhance individual's language proficiency and interpreting…

This paper first surveys three kinds of learner interview corpora (LINDSEI, NICT-JLE Corpus, and Trinity Lancaster Corpus), paying particular attention to their interview structures. Then, it explains the principles and features of the ICNALE Spoken Dialogue (ICNALE SD), which includes 425 videos and approximately 1.6-million-word transcripts of…

This article introduces three important challenges and possible solutions when using spoken dialogue to measure the use of specific multiword expressions. The first challenge is deciding whether to count precise and accurate use of target expressions only or whether to extend the count to include variation. The second challenge requires addressing…

This study compares the effect of using corpus-based materials and activities for the instruction of pragmatic routines under two conditions: implementing direct corpus searches by learners during classroom instruction and working with teacher-developed corpus-based materials. The outcome is compared to a repeated-test control group. Pragmatic…

The writers of any scientific community are inherently expected to fulfil some agreed-upon discourse conventions of the academic discourse community (Molino, 2010) in the sense of creating a successful dialogic interaction through their texts. In line with this, Akbas (2014b) raised the question of "how and to what to extent writers…

For Vygotsky, language is a cultural-psychological concept emerged from social interactions and is applied for higher cognitive functions such as thinking, meaning making, and knowledge construction. In this study, a sociocultural perspective was applied to analyze the language produced by 40 sophomore Iranian EFL learners during dialogic…

Corpus linguistics, or the gathering together of language into a body for analysis and development of materials, is claimed to be an assured, established method (or field) that valuably informs pedagogical materials and knowledge of language (e.g. Ädel 2010; Gardner & Nesi, 2013). The fundamental validity of corpus linguistics is rarely, if…

Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…

In this paper we investigate how student disengagement relates to two performance metrics in a spoken dialog computer tutoring corpus, both when disengagement is measured through manual annotation by a trained human judge, and also when disengagement is measured through automatic annotation by the system based on a machine learning model. First,…