Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…

Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…

Background: The rapid rise of Generative Artificial Intelligence (GenAI) is transforming education. At this stage, there is not yet a well-established and tested theoretical framework clarifying which competencies learners must possess to use GenAI effectively and safely. This study draws on three theoretical frameworks: Eshet-Alkalai's Digital…

This study provides a comparative assessment of the capabilities of leading artificial intelligence (AI) tools and human participants in a business management education context. Specifically, we (a) assess how well current language models perform in providing answers to standardised essay-type assessments in a business and management education…

Background/purpose: ChatGPT, an AI-based tool, has significantly impacted higher education by enhancing the learning and teaching experience. This study aimed to analyze students' perceptions of ChatGPT's role in higher education, focusing on five dimensions: perceived abilities, ethical concerns, satisfaction, academic impact, and skills…

Background/purpose: The integration of artificial intelligence (AI) into child education presents transformative opportunities, yet Indonesian parental readiness remains insufficiently explored. This study examines parental preparedness, barriers to adoption, and policy interventions to ensure effective AI implementation in child education.…

This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…

This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…

Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…

This study investigates physics instructors' acceptance and implementation of generative AI (GenAI) in physics education, guided by Rogers' diffusion of innovation (DOI) theory, focusing on its five-stage innovation-decision process: knowledge, persuasion, decision, implementation, and confirmation. Two survey versions were developed--one for…

Recently, the World Bank (2023-2024) conducted a comprehensive feasibility study to assess the potential of implementing open school models for adolescents aged 12 to 16 from nomadic, refugee and internally displaced populations from countries on the Fragility, Conflict and Violence (FCV) list, with particular focus on the following five countries…

Effective feedback plays a critical role in enhancing the writing skills of English as a Foreign Language (EFL) learners. This study examines the comparative effectiveness of three feedback approaches--Teacher e-feedback, AI-based feedback, and a hybrid model--in enhancing the writing performance of Iranian intermediate-level EFL learners. A…

The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…

Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…

The study explored the adoption of ChatGPT in argumentative writing among students using the Unified Theory of Acceptance and Use of Technology model as a framework. A mixed methods study was employed, and data were collected from surveys, interviews and document analysis (essays). The study revealed that participants' acceptance of ChatGPT is…