Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

This article investigates the roles of the terms agreement and disagreement in teachers' talk in Norwegian Grades 1-4 classrooms. Through an exploration of what teachers said and did when they used these terms, five different themes were identified in the teachers' talk. The teachers tended to use the terms in relation to the process of…

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…

This article highlights the need for a new type of corpus that will combine both a learner and a pedagogic corpus. The need for such a type of corpus is underlined by the interaction between input and output and the expected impact of the former on the latter within all instructional settings. Such a corpus will allow us to collect data, including…

Goal: The problem of the authenticity of teacher questions has not received sufficient attention from educational researchers interested in the intersection between dialogue and argumentation. In this paper, we adopt a definition of authentic questions as dialogical units that prompt teacher-student interactions that are both productive (i.e.,…

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 article examines theoretical and methodological issues raised when Legitimation Code Theory (LCT) is used to investigate knowledge-building practices in online and face-to-face teaching environments where English is the medium of instruction (EMI) in non-Anglophone higher education (HE) contexts. The article introduces two dimensions of LCT,…

New Artificial Intelligence methods hold the potential to transform qualitative research in mathematics education. This study introduces and uses the machine learning technology of simple neural networks to automatically analyse transcript data. This serves as the basis to reflect on the use of machine learning technology in order to uncover some…

The increasing impact of internationalisation in higher education worldwide has led to the growing use of English as a medium of instruction (EMI). Much research on this phenomenon has focused on stakeholders' viewpoints, but there is increasing interest in investigating interaction in EMI classrooms. One interactional practice which is relatively…

Discourse markers (DMs) are linguistic forms characterized by their use as conversation organizers or pause fillers (Fox Tree, 2010). Although used frequently in both speech and writing, DMs are not often taught in L2 classrooms, despite incorrect usage causing potential misunderstandings (Polat, 2011). Additionally, L2 learners have been observed…

The purpose of the present study was to investigate if following data-driven learning (DDL) to raise the learners' awareness of discourse organizers through concordancing improves their comprehension of English academic lectures. To address this issue, the current study adopted a quasi-experimental (comparison group, pretest-posttest) design. 96…

This paper investigates the use of laughter and smiling to manage (dis)affiliation during two types of disturbances in the interactional unfolding of classrooms: delayed and disaligning responses. The analysis reveals that the sequential position and embodied turn design are integral to understanding the (dis)affiliative work laughter and smiling…

Interactional modification is important in SLA research because it involves correcting problematic L2 use. However, not all modifications will lead to pedagogical changes. Participants in conversational interactions are not always oriented to linguistic forms or functions. One way to address this dilemma is to examine the process by which…

Dialogic approaches based on active student participation, open, respectful discussion, exploring and critiquing different perspectives are increasingly found to support student learning. However, the specific productive forms of teacher-student interaction have rarely been studied systematically. A recent large-scale project explored the…

This study applies multimodal conversation analysis to examine how pupils of L2 English in Sweden make use of online translation tools (OTTs), i.e. bilingual dictionaries and Google Translate, in a range of digital collaborative writing tasks. The collection of sequences where pupils use OTTs comes from 31 hours of video-recorded data from four…