Design and Technology (D&T) in the UK is approaching a crisis point, with declining enrolment, staffing shortages and increasing marginalisation in the curriculum. However, this paper argues that D&T is not a problem to be solved. Rather, it is a solution to be scaled. Positioned at the intersection of material practice, iteration and…

Background/purpose: This article presents partial results of a document review that constitutes a key input for the doctoral thesis in Didactics of Science entitled "Model of teacher professional development for the inclusive teaching of chemistry in the academic middle school, mediated by artificial intelligence", developed at the…

This study examines whether assessments focused on higher-order cognitive skills can help reduce AI-driven plagiarism in educational settings. A total of 123 participants completed three tasks of increasing complexity, aligned with Bloom's taxonomy, across four groups: control, e-textbook, Google, and ChatGPT. Results from repeated-measures ANOVA…

This article presents a conceptual analysis around the integration of Artificial Intelligence (AI) in learning English writing in higher education. AI contributes to helping students find fresh ideas and content for writing, as well as correcting grammar, typos, and punctuation, as well as paraphrasing, and enhancing writing quality. There has…

Artificial intelligence (AI) is rapidly transforming various sectors, including education. One of the most promising applications of AI in education is in the development and adaptation of Open Educational Resources (OER). COL's Teacher-in the-Loop (TiL-AI) initiative empowers teachers and TVET trainers across the Commonwealth to leverage…

This article explores how Los Angeles Pacific University (LAPU) uses its AI tool, Spark, to enhance student learning. Spark personalizes the learning experience, offers 24/7 tutoring, and fosters collaboration, leading to improved academic performance. The tool complements traditional teaching, providing equitable, accessible support to students…

This study, grounded in the stimulus-organism-response (SOR) theory, aims to explore how stimulus factors (school support) influence cognitive organisms (psychological resilience, self-efficacy, attitude toward AI, and acceptance of AI), which in turn enhance behavioral responses (AI literacy), while also examining the detrimental effects of AI…

This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…

The advancement of artificial intelligence is reshaping the marketing landscape, underscoring the need to integrate prompt engineering into marketing education. This study presents a conceptual framework for embedding prompt engineering within marketing curricula, rooted in established educational theories. An integrative literature review and…

Since the release of ChatGPT, there has been considerable debate regarding whether and how L2 writing instructors might integrate GenAI tools and teaching toward AI literacy development into their instructional practices. A recent body of research has identified possible affordances and limitations of GenAI for L2 writing teaching and learning,…

This study explores the potential of OpenAI's ChatGPT-4 (gpt-4-0613) as an automated essay scoring (AES) tool in a trial involving 300 essays from an American university's academic English program placement test. Three prompting strategies (minimal/detailed rubric, require/not require rationale, and with/without scoring examples) were tested for…

Context/Objective: Although the positive role of a growth mindset, defined as the belief that intelligence can be developed through effort, is widely recognized in math learning (Yeager et al., 2019), meta-analysis studies (e.g., Burnette et al., 2023) have revealed that the impact of mindset interventions varies significantly across classroom…

Machine learning-based automatic scoring faces challenges with imbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework that leverages GPT-4, a generative large language model specifically tailored for imbalanced datasets in automatic scoring. Our experimental dataset consisted…

The "Woodock-Johnson V" Symbol Inhibition test is a measure of the inhibiting and updating aspects of executive functioning, developed for administration on the new "Riverside Score"™ digital platform. This paper describes the development of the Symbol Inhibition test, including the test design, norming and validity study data…

The rapid advancement of Conversational AI tools like ChatGPT has sparked polarized debates in academia, particularly around issues of plagiarism, ownership, and bias. Unexamined misconceptions may hinder the effective integration of Conversational AI tools, limiting their potential to stimulate interactive and convergent learning experiences.…