This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key…

This work dwells on the problem of developing an algorithm aimed at ensuring the digital inclusion of a university that functions in the conditions of globalisation. To solve this problem, the key theoretical provisions are described and the sequence of evolution of a traditional university to the level of a digital inclusive establishment of…

The study aims to identify the profiles of university students regarding Artificial Intelligence Literacy, Lifelong Learning, and Fear of Innovation using cluster analysis and to examine the relationships among these variables. Cluster analysis and structural equation modeling were conducted with valid responses from 402 university students. The…

The rise of artificial intelligence (AI) has made life and work easier; however, AI has also made it almost impossible to determine whether the information we consume is legitimate, AI-generated, or AI-manipulated. This paper examines how the use of artificial intelligence, specifically GPT-4, Gemini Advanced, and Claude Opus, can aid a user in…

Recent progress made in conversational AI lays emphasis on the need for development of language models that possess solid logical reasoning skills and further extrapolated capabilities. An examination into this phenomenon investigates how well the Capybara dataset can improve one's ability to reason using language-based systems. Multiple…

This study explores the use of artificial intelligence to improve active retrieval and retention in Massive Open Online Courses (MOOCs). We developed an AI-driven system that generates learning cards to facilitate active recall and utilize spaced repetition. The system was tested with a group of students and instructors, and the results showed…

As artificial intelligence (AI) transforms education, leaders may be tempted to replace coaches with AI to save money while still promoting better teaching and better learning. This article argues that abandoning coaching for AI means abandoning the most effective methodology for improving teaching and learning for a machine that is incapable of…

This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai's (2004) work to explore the…

Although AI transformer models have demonstrated notable capability in automated scoring, it is difficult to examine how and why these models fall short in scoring some responses. This study investigated how transformer models' language processing and quantification processes can be leveraged to enhance the accuracy of automated scoring. Automated…

In this article we investigate the role of generative AI in education with a focus on creativity, metaphorically utilising relevant features from Augusto Boal's Forum Theatre as part of a participatory qualitative inquiry. Presenting three distinct perspectives--Gatekeeper, Evangelist, and Diplomat--our article explores emotional and intellectual…

Background/purpose: Educational unit managers, as leaders, need to cultivate essential skills such as emotional intelligence and psychological resilience to enhance their effectiveness in educational leadership and management that promotes the proper functioning of public educational units. This study aimed to examine the relationship between…

In an educational setting, an estimate of the difficulty of Multiple-Choice Questions (MCQs), a commonly used strategy to assess learning progress, constitutes very useful information for both teachers and students. Since human assessment is costly from multiple points of view, automatic approaches to MCQ item difficulty estimation are…

This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in education has focused on teaching and learning, with less exploration of capabilities in education feedback analysis. Survey analysis in education involves goals such…

Precise item categorisation is essential in aligning exam questions with content domains outlined in assessment blueprints. Traditional methods, such as manual classification or supervised machine learning, are often time-consuming, error-prone, or limited by the need for large training datasets. This study presents a novel approach using…

As a crucial link between theoretical preparation and practical teaching in higher education, pre-service teachers' emotional management has garnered increasing attention, particularly regarding emotional intelligence (EI) and emotion regulation (ER). However, most existing research has been cross-sectional, lacking a longitudinal perspective on…