The research on mathematical argumentation has mainly adopted a dialectic lens which focuses on understanding the abstract and logical development of reasoning in argumentation. However, this approach may have overlooked other key aspects of mathematical argumentation, including the unfolding of the meaning-making experience and process during…

Meaningful learning for conceptual change in science education should aim to help students change their existing misconceptions to develop an accurate understanding of scientific concepts. Although collaborative argumentation is assumed to support such processes, its value for conceptual change is unclear. Moreover, the roles of argumentative…

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…

In this article, we present a conceptual framework for teaching computer science (CS) to address the unique challenges faced by marginalized groups. The framework is grounded in feminist standpoint theory and describes three key practitioner-focused areas aimed at broadening participation and increasing participation in CS education (CSEd). These…

This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…

The present work examines the role of reflection in supporting the development of argument skill. Participants who engaged in argumentation practice with additional reflective activities outperformed a control group who only engaged in the argumentation practice. The experimental group showed greater gains in developing argument skill --…

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…

While extensive research exists on peer feedback and its effects on writing, there are few experimental studies that rigorously investigate the effects of guided dialogic peer feedback on students' argumentative writing performance. This study, adopting a mixed-methods approach, examined the influence of guided dialogic peer feedback within a…

As technology continues to change human interactions, it has become increasingly important to create computer supported collaborative learning (CSCL) environments that enhance perspective taking to support constructive groupwork. To meet these aims, this study examined perspective taking before and after a social annotation activity that…

This study aimed at testing the effectiveness of an e-module based on ProblemBased Learning combined with Socratic Dialogue on the topic of environmental change in improving school students' critical thinking skills. This research was a quasi-experimental study and used a non-randomised control group, pre-test/posttest design. The sampling…

Reading comprehension difficulties have been associated with poor vocabulary knowledge of children with autism spectrum disorder (ASD). Research has shown that Dialogic Reading (DR) interventions may remediate these deficits. The purpose of this study was to compare the effectiveness of two DR intervention protocols on the vocabulary knowledge of…

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.…

Providing the first volume-length exploration of the role that dialogue can play in history education classrooms, this book explores the socio-cultural, psychological, and digital dimensions of dialogic practice to promote research into historical thinking, historical consciousness, and critical thinking in educational settings. This book's novel…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…