Artificial intelligence (AI) is transforming education by enabling personalised learning, innovative teaching, and administrative efficiency, yet it also raises ethical, legal, and equity concerns. This study examines the integration of AI in education across European countries and Ukraine, analysing national strategies, policy documents, and…

Complex interactions between personality traits, technology literacy, and anxiety levels influence pre-service special education teachers' attitudes towards artificial intelligence (AI). However, the mechanisms underlying these interactions have not been sufficiently investigated in the literature. This study examines the mediating roles of AI…

The concept of "phronesis" enters educational discourse at various levels of engagement, and it continues to fascinate and frustrate educational theorists in equal measure. This article begins by charting the vagaries of three educational discourses on phronesis, and by eliciting insights from the recently burgeoning wisdom research…

The focus of this paper is a novel pedagogical planner that we have developed called the CFLS planner (Collaborative Filtering based on Learning Sequences). The CFLS planner has been designed for an open-ended and unstructured learning environment based on the ecological approach (EA) architecture (McCalla "Journal of Interactive Media in…

We analyzed data from the WASI-II manual to determine discrepancy score reliabilities of the Verbal Comprehension (VCI) and Perceptual Reasoning (PRI) indexes and the four subtests in the child and adult standardization samples. Reliabilities of the VCI-PRI discrepancy scores range from 0.78 to 0.86 for children and 0.82 to 0.89 for adults and…

Knowledge Tracing (KT) is a task to model students' knowledge based on their coursework interactions within an Intelligent Tutoring System (ITS). Recently, Deep Neural Networks (DNN) showed superb performance over classical methods on multiple dataset benchmarks. While most Deep Learning based Knowledge Tracing (DLKT) models are optimized for…

This study aims to analyse the emotional intelligence scores of the special education teacher candidates for the predictor of multiple intelligences areas. This study was conducted through relational scanning model. 211 teacher candidates, 106 females and 105 males, participated in the study. Data were collected through Personal Information Form,…

Intellectual impairments in preschoolers have been widely studied. A regularity that emerges is that children's intellectual impairments have an important impact on later adjustments in life. However, few studies have looked at the intellectual profiles of young psychiatric outpatients. This study aimed to describe the intelligence profile of…

Twenty-five years after the introduction of Carroll's (1993) Three Stratum (3S) theory of intelligence and McGrew's (1997) subsequent synthesis of 3S with the extended Gf-Gc / Horn-Cattell theory, the Cattell-Horn-Carroll (CHC) theory represents the prevailing framework by which the structure of human cognitive and intellectual abilities is…

While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…

Purpose: This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools. Design/methodology/approach: The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT…

Mask wearing has been required in various settings since the outbreak of COVID-19, and research has shown that identity judgements are difficult for faces wearing masks. To date, however, the majority of experiments on face identification with masked faces tested humans and computer algorithms using images with superimposed masks rather than…

Multidimensional theory of mind assessments should include items assessing both explicit theory of mind (theory of mind knowledge) and applied theory of mind (application of theory of mind knowledge in real-life contexts). However, the two theory of mind scores cannot be interpreted collectively to identify children having mismatched explicit and…

Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it becomes challenging for students to self-regulate their learning. In this paper, we propose an…

Generative Artificial Intelligence (AI)'s emergence is viewed as a disruptive technological advancement that has been beneficial for most educational purposes but also coupled with emerging challenges and potentially destabilizing effects. Given the unprecedented onset and surge in interests, education stakeholders are often pressured to adopt…