Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

Strategic competence, the ability to use communication strategies (CS) to overcome challenges and enhance communication effectiveness, is crucial in language learning. However, the coverage of these strategies as well as target models to teach them remain scarce in current instructional materials. This paper represents the first attempt to examine…

Classroom dialogue is widely used in mathematics teaching and learning, and if managed strategically, it will have productive benefits for mathematics achievement. However, dialogic participants often lack awareness of how dialogue could be constructed, and few studies show the characteristics of dialogic patterns in different stages of education.…

This research explores the collaboration between Indonesian English as a Foreign Language (EFL) educators and Artificial Intelligence (AI) in content development. Employing a qualitative approach, semi-structured interviews were conducted to delve into the perspectives, experiences, and interactions of educators in the realm of AI-enhanced content…

For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…

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…

Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…

In order to develop pragmatic competence in a language other than our own (L2), it is important to have enough knowledge of the cultural norms of the target language and enough opportunities to interact with a wide range of speakers to deploy different speech acts, registers, levels of politeness, conversational moves, and the like. The…

Evidence is widely recognized as an essential component of argumentation. Existing research has primarily focused on students' use of evidence to construct explanations or claims. In the present study, 54 11- to 12-year-old Chinese students participated in an extended discourse-based argumentation curriculum, along with an equivalent…

Because speaking appropriately and fluently is the ultimate goal in a foreign language learning process, the authenticity of dialogues in the ELT coursebooks becomes even more significant. However, it is rather doubtful whether the dialogues have the function of preparing students for the English language they are likely to encounter in daily life…

Prior research has shown that, under certain conditions, Human-Agent (H-A) alignment exists to a stronger degree than that found in Human-Human (H-H) communication. In an H-H Second Language (L2) setting, evidence of alignment has been linked to learning and teaching strategy. We present a novel analysis of H-A and H-H L2 learner dialogues using…

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 presents a chatbot for a Dialogue-Based Computer Assisted Language Learning (DB-CALL) system. The chatbot helps users learn language via free conversations. To improve the chatbot performance, this paper adopts a Neural Machine Translation (NMT) engine to combine with an existing search-based engine, and also extracts a small domain…