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.…

This case study explores the use of large language models (LLMs) as analytical partners for data exploration and interpretation. Grounded in original research, it navigates the intricacies of using LLMs for uncovering themes from datasets. The study tackles various methodological and practical challenges encountered during the research process…

Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…

As ChatGPT continues to reshape student engagement and instructional design, it is crucial to examine its practical implications. This study aims to evaluate the effectiveness of ChatGPT3.5 and ChatGPT4 as potential automated essay scoring (AES) systems. Fifty authentic, student-written annotated bibliographies were evaluated by three human raters…

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…

This study aims to analyze the bibliometric trends of research articles on applying Artificial Intelligence (AI) technology in individuals with Autism Spectrum Disorder (ASD). Within the scope of this study, bibliometric data from 1345 articles published in the Web of Science database between 2014 and 2024 were examined. The analysis revealed a…

The study explores the role of AI-driven chatbots in fostering collaborative learning among English as a Foreign Language (EFL) teachers. By examining the experiences of 25 pre-service EFL teachers who used a chatbot as part of their teacher training, the study investigates how the tool supports peer interactions, enhances collaborative learning,…