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…

Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…

In recent years, the shift in the teaching approaches employed in Thai English as a Foreign Language (EFL) classroom provides new opportunities and challenges to the teachers and students form Generation Z (1995-2009) and Generation Alpha (2010-2024). This study examines verb errors among Thai EFL learners from Generation Z and Generation Alpha to…

Second Language Pragmatics (L2 pragmatics) research focused on the study abroad (SA) context points out the benefits of this context for second language (L2) pragmatic development while also illustrating the non-linearity of this development, as it is shaped by different contextual factors and individual differences. Nevertheless, this research…

This study demonstrates how native and learner corpora can enhance modal verb treatment in English-as-a-foreign-language (EFL) textbooks used in mainland China. Data analysis compares modal verbs in the textbook and native corpus by referring to distributional features, semantic functions and co-occurring constructions; and the analysis of 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…

The aim of this study is to explore the metaphorical perceptions of pre-service teachers about Syrian asylum seekers' children. A metaphor analysis method was conducted with 160 pre-service teachers during the spring semester of the 2017-2018 academic year. Data was collected by a metaphor analysis form. Qualitative and quantitative data analysis…

The current study examines the perceived naturalness of lexical bundles learned from early-stage teaching materials in Japanese learners of English. Naturalness ratings of 24 native English speakers and 23 non-native speakers with Japanese as their first language were compared in relation to corpus derived frequencies from the British National…

Just as language reflects one's thoughts, the text of science textbooks reflects the structure of scientific knowledge and thought. Therefore, students' learning of scientific language leads to their acquisition of the structure of scientific knowledge and thought. The purposes of this study were to extract scientific semantic network from science…