Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

The purpose of this opinion piece is to explore the potential of ChatGPT as a virtual assistant for transnational educators in the context of Finnish education export. It examines the possibilities and limitations of utilising ChatGPT to support short-term teaching assignments abroad. Utilising Su and Yang's (2023) framework for using ChatGPT in…

With the UK government's target of Net Zero by 2050, alongside the rising cost of energy in the UK, it is imperative that public opinion aligns with and promotes affordable, greener energy systems. Within this dialogue, young people's voices and lived experience are needed to deepen the impact of energy policy intervention strategies. This article…

Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…

This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…

Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. However, students often face challenges when proposing diversified arguments, gathering evidence, and rebutting others reasonably. Incorporating generative conversational agents (GCAs) into collaborative…

This study presents an exhaustive analysis of the phonological, morphological, and pragmatic dimensions of an artificial intelligence (AI) application developed to facilitate the pedagogical dissemination of Arabic to non-native speakers. The research examines Arabits, a leading AI application created by the Alef Educational Institution, designed…

Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…

In recent years, the number of studies on artificial intelligence or AI has increased tremendously, and their place in daily life is beginning to be felt more and more each day. Current rise of generative AI tools has brought forth dangers regarding its potential misuse, leading to impacts on the environment. College students were surveyed using…

Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…

This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…

As technology and education intersect, the potential of Artificial Intelligence (AI) to enhance learning and engagement via chatbots is notable and has been widely acclaimed, though with mixed reports. This study thus investigates AI chatbots' effectiveness in enhancing learning outcome and engagement, using a quasi-experimental design with three…

In the context of globalization, adapting to modern educational needs and adopting innovative teaching methods have become increasingly crucial, particularly in the field of children's aesthetic education. This study explores the integration of scaffolding instruction and AI-driven diffusion models in children's aesthetic education, with a special…

Emerging technologies are transforming education, necessitating research on their optimal integration. This article introduces an Intelligent Virtual Reality (IVR) approach that incorporates Generative Artificial Intelligence (GAI) through two GAI-powered pedagogical characters, aiming to address educational needs. This qualitative descriptive…

Nowadays, artificial intelligence, which is used in different fields with the increase in the number of works and transactions carried out in digital environment, is also used in the field of education. The main purpose of this study is to examine the views about artificial intelligence of preschool children, their mothers and teachers. The…