Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

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 aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…

Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…

Lexical bundles and moves are essential for vloggers to communicate clearly and purposefully within travel vlog discourse. It is crucial for L2 learners and practitioners aiming to enter the industry to master these bundles and understand the moves used in creating travel vlogs. This corpus-based study compiled a list of 239 four-word lexical…

This research aimed to scrutinize and delineate the figures of speech manifesting in English hit songs. A selection of songs from Spotify's Top 30 Hit Songs List was chosen as the study material. The study employed a qualitative content analysis approach to classify the type and calculate the frequency of the figures of speech within the corpus of…

Studies on graded readers used in extensive reading have tended to focus on vocabulary. This study set out to investigate the linguistic profile of graded readers, taking into account both grammar and lexis. A corpus of 90 readers were tagged according to the variables in Biber's Multidimensional (MD) analysis, using the Multidimensional Analysis…

AI-generated paraphrasing tools, especially QuillBot and Paraphrasing Tool, play a crucial role in preventing plagiarism in academic writing. However, their effectiveness and proficiency have been questioned, particularly regarding the adequacy of their strategies. This qualitative study analyzed the paraphrasing strategies and proficiency levels…

Metaphors are recognized as bridging scientists' challenges in communication with the public. In mathematics, however, which often involves abstract concepts and relations, less attention has been paid to the role of metaphors in public communication. In this article we examine the metaphors appearing in the discourse of 10 mathematicians in five…

Despite the unquestionable academic interest on corpus-based approaches to language education, the use of corpora by teachers in their everyday practice is still not very widespread. One way to promote usage of corpora in language teaching is by making pedagogically appropriate corpora, labelled with different types of problems (for instance,…

The purpose of this review is to examine the effects of automated writing evaluation (AWE) feedback on students' English writing performance. We systematically reviewed studies that have empirically focused on this purpose. This review uses several combinations of key words to search in the databases of JSTOR, SSCI, and ERIC for peer-reviewed…

Lexical meaning, as an important and essential aspect of the word, has long attracted the attention of scholars, who, in trying to know its nature, have sometimes mystified it by seeing it as an inexplicable thing and sometimes simplified it, equating it with the function of the word, with the concept, even with the "reali" itself that…

The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…

This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…

In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT…