The relevance of the study is conditioned by the need for competitive, non-standard-thinking specialists who can shift from conventional thinking patterns, and quickly solve problems and situations, i.e., show creativity in certain conditions, as a quality inherent in every person who strives for comprehensive development. The purpose of the study…

A key feature of embodied education is the participation of the learners' body and mind with the environment. Yet, little work has been done to review the state of embodied education with Artificial Intelligence (AI). The goal of this systematic review is to examine the state of human and AI's triad engagement in education, that is the mind, body,…

This study explored the effects of design thinking on the conceptual cognition of artificial intelligence (AI) learning, attitudes toward AI, idea creativity, and the product creativity of AI applications. The concept map indicated that design thinking had a significant effect on the conceptual cognition of AI learning, particularly the relational…

Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the…

This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…

Artificial intelligence (AI) is bringing new developments in education. Teachers' professional development grows with the promotion of technology, and more challenges and difficulties will be faced by teachers in the AI age. Thus, this study aimed to explore what a teacher portrait should be like in the new AI age. In order to systematically and…

The digital transformation challenges teachers to constantly keep up to date with new technologies, often leading to a lack of time for further training and uncertainty in using these technologies. To address these challenges, this conceptual paper introduces the Teacher Copilot, a training and assistant system based on Large Language Models (LLM)…

It has been widely recognized that a visual impairment can limit an individual's ability to learn through visual observations. This decreased limited visual access which could impact how the skills to access and recognize the world around them develop. However, when the visual impairment was brain-based, such as in Cortical/Cerebral Visual…

Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in…

Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…

The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…

The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT-4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher-order thinking and creativity. Yet, this also raises questions about…

Mathematical cognition requires coordinated activity across multiple brain regions, leading to the emergence of resting-state functional connectivity as a method for studying the neural basis of differences in mathematical achievement. Hyper-connectivity of the intraparietal sulcus (IPS), a key locus of mathematical and numerical processing, has…

This study aimed to examine whether the tendency to cheat and interpersonal cognitive distortions have a predictive effect on the marital satisfaction level of married teachers. The sample of the study consisted of 107 (28.1%) male and 271 (71.9%) female married teachers working in Gaziantep. In the study, a Personal Information Form was used to…

The aim of this study is to investigate the mediating role of attachment styles in the relationship between childhood trauma and cognitive distortion. The sample comprised 358 (44.7% males) university students. Participants completed the Childhood Trauma Questionnaire, the Three-Dimensional Attachment Style Scale, and the Interpersonal Cognitive…