This study investigates how journalism students perceive and use large language models (LLMs), such as ChatGPT, their understanding of the technology, and their ethical considerations. Findings indicate that while students see LLMs as inevitable tools in their future careers, they often misunderstand how these tools generate content, in part…

At the forefront of industries profoundly influenced by artificial intelligence (AI), public relations (PRs) are undergoing a transformative revolution. The increasing applications of AI in PRs are driving a demand for proficient practitioners. Recognizing this, PR educational institutions must adapt by delivering tailored AI education. Despite…

In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…

The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…

Fetal Alcohol Spectrum Disorder (FASD) is a significant public health concern arising from prenatal alcohol exposure. This study examines the clinical utility of Wechsler intelligence tests in assessing cognition in 108 children with confirmed prenatal alcohol exposure. Data were analysed using multidimensional scaling and Guttman's Structural…

The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance. However, while AI tools offer numerous benefits, they are prone to occasional conceptual and arithmetic errors that can mislead users and obscure understanding. This research examines such…

With the rapid development of Artificial Intelligence in Education (AIED), ensuring that ethical principles are fully respected and implemented as AI technology drives educational innovation has become a pressing issue. Educators are actively exploring and establishing ethical guidelines for AIED, but the fragmented nature of existing research…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

Purpose: This study aims to address the complexities of fixed and growth mindsets within educational settings and critique traditional assessment methods and interventions used in mindset research. It aims to develop a comprehensive approach -- encompassing methodology, conception and practice -- that incorporates mindsets within a broader growth…

This study presents a scientometric analysis of personalized learning research from 2020 to 2024. Using the Lens database, 4,463 scholarly articles were analyzed to identify key trends and patterns in this rapidly evolving field. The analysis revealed consistent publication growth over the 5 years, with journal articles dominating as the primary…

Evidence shows that the first component of media literacy to develop in children is media sign literacy (MSL), an ability that focuses on the understanding and correct use of the signs and symbol systems that organize different media. Previous research has shown that MSL is a significant predictor of learning from media. In this study, we…

This paper provides an overview of the policies and tools employed by EU Member States to ensure the comparability and recognition of VET qualifications. It explores the role of existing EU transparency tools, the methods used by national authorities and stakeholders to compare and recognise VET qualifications, and identifies relevant themes and…

This study systematically examines the evolution of personalized learning in education, focusing on the transformative potential of artificial intelligence (AI) in higher education. It aims to identify how AI addresses the barriers of traditional teacher-led and student-driven personalization methods, offering scalable and adaptive solutions to…

The evolving landscape of higher education requires a better understanding of students' cognitive strengths, especially in complex disciplines such as Economics where multiple approaches to problem solving are essential. This study explored students' multiple intelligences (MI) approach to learning Economics and examined gender differences in the…

This article explores the potential of Generative Artificial Intelligence (GenAI) to enhance music education by facilitating creative collaborations. Drawing on the pragmatism of the later works of John Dewey and the posthumanism of Karen Barad, and employing Actor-Network Theory (ANT), we propose viewing creative collaborations as dynamic systems…