Knowledge tracing (KT) plays a key role in adaptive learning, yet traditional recurrent neural network-based methods often struggle with sparse data and overlook relationships between knowledge points. To address these limitations, this paper proposes a novel knowledge tracing model (KGS-KT) that integrates knowledge graphs, graph convolutional…

This article elaborates on the theoretical and practical aspects of the formation of a flexible strategy for a university's digital inclusion in a globalising world and the growth of the level of competition in the market of higher education services. The methodological framework of the article is based on the combination of theoretical aspects…

This paper elaborates on the concept of digital inclusion, which is implemented by Russian universities in the conditions of internationalization of higher education. Digital inclusion is considered a factor in an increase in social inclusion, which is combined with digital communications and expands the circle of persons involved in higher…

This paper examines how UNESCO's "Guidance for Generative AI in Education and Research" uses personification metaphors to describe artificial intelligence and how these linguistic choices shape public understanding of AI's educational role. Through critical discourse analysis, we identify personification metaphors that attribute human…

The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…

Digital technologies allow student self-assessment to be adaptive, scalable and multimodal. Despite such technological advances, digital self-assessment practices have largely reinforced the existing norms around student roles, leaving the fundamentals of self-assessment design untouched. Digital self-assessment has centred on learning outcomes…

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…

Recently, there has been a plethora of studies about students' attitudes toward the use of artificial intelligence (AI) technologies in education, particularly in higher education and language education; however, research on AI use in high school settings has gained relatively little attention, leaving a huge research gap in the literature. This…

Background/purpose: There are two types of knowledge in an organization, namely tacit and explicit knowledge. This research aims to test the effects of the enhancement techniques of both types of knowledge on the principal's digital leadership and school organization improvement, to find the relationship among the variables, and to find effective…

Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…

The smartphones we use in every aspect of our lives can be accessed anywhere without the limitation of physical space. This situation has led to excessive use of smartphones. Individuals, when unable to access their smartphones, experience anxiety and distress, revealing their nomophobic tendencies. Additionally, the availability of internet…

Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…

Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…