Globalization and increases in the numbers of English language learners have led to a growing demand for English proficiency assessments of spoken language. In this paper, we describe the development of an automatic pronunciation scorer built on state-of-the-art deep neural network models. The model is trained on a bespoke human-rated dataset that…

A standard learning outcome for students in humanities courses, from middle school into higher education, is to craft clear, specific arguments based on evidence. A common assignment to develop and assess this learning outcome is the take-home essay. Generative AI models, such as ChatGPT, Copilot, and Grammarly, are quickly able to generate such…

Teachers are now encouraged to use generative artificial intelligence (GenAI) tools to complete various school-related administrative tasks, with the promise of saving considerable amounts of time and effort. Drawing on interviews from 57 teachers across eight schools in Sweden and Australia, this paper explores teachers' experiences when working…

Like Alice's journey through the looking glass, so-called "Artificial Intelligence" (AI) in education distorts familiar truths revealing uncomfortable reflections of systemic values and biases. Drawing on metaphor theories and ecological models of technology, the paper shows how dominant metaphors shape educational imaginaries and policy…

This study investigates how individual differences related to creative and verbal fluencies can be differentiated and modelled through the linguistic features that manifest in student writing. Using computational linguistics, we analyzed samples of intrapersonal writing to extract linguistic features that align to specific dimensions of language.…

"Generative AI Technologies, Multiliteracies, and Language Education" is a comprehensive edited volume that examines the integration of Generative AI (GenAI) technologies within the framework of multiliteracies pedagogies to enhance language teaching and learning. This collection of chapters offers an in-depth understanding of how GenAI…

The precise relation between implicit learning and reading abilities has not been determined yet, given the limited research on implicit learning between typically developing (TD) students and those with reading difficulties (RD). Additionally, the influence of modality-related implicit learning performance in children remains largely unknown. To…

The recent development of Large Language Models (LLMs) such as Claude, Gemini, and GPT has led to widespread attention on potential applications of these models. Marking exams is a domain which requires the ability to interpret and evaluate student responses (often consisting of written text), and the potential for artificial intelligence (AI)…

The ever-changing landscape of distance learning AI and learning analytics transforms engagement and efficiency in education. AI systems analyze behavior and performance data to provide real-time feedback for improved outcomes. Learning analytics further help educators to identify at-risk students while fostering better teaching strategies. By…

Developing the ability to understand and use multiple representations is vital for deepening students' comprehension of statistical, probabilistic, and mathematical concepts. This skill enhances problem-solving by enabling learners to translate ideas across various forms, leading to more flexible and meaningful understanding. Representational…

Today's language models can produce syntactically accurate and semantically coherent texts. This capability presents new opportunities for generating content for language assessments, which have traditionally required intensive expert resources. However, these models are also known to generate biased texts, leading to representational harms.…

The release of ChatGPT has sparked an immense academic debate regarding its potential advantages and drawbacks for students. Despite its significance, there is a lack of empirical research on students' attitudes and behavioural intentions towards the utilization of ChatGPT. To fill this gap, we employed the integrated AI acceptance-avoidance model…

The research landscape surrounding Generative Artificial Intelligence (GenAI) and education is rapidly expanding, characterised by a dynamic array of themes and sub-themes. This paper aims to construct a comprehensive taxonomy that categorises the current literature on the integration of GenAI in educational settings. To do so, a systematic…

This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…

This paper presents research findings on primary school students' awareness of the ethical aspects of using artificial intelligence (AI) tools for homework. The study used a self-constructed online questionnaire administered to 301 primary school students from grades five to eight attending two primary schools in Northwestern Croatia. The results…