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…

Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…

The growing popularity of generative artificial intelligence (AI) tools presents new challenges for data quality in online surveys and experiments. This study examines participants' use of large language models to answer open-ended survey questions and describes empirical tendencies in human versus large language model (LLM)-generated text…

This study investigates the cultural experiences of higher education educators/academics while working outdoors in natural environments, 'unplugged' from technological and institutional systems.a) That disconnection from institutional/technological systems would catalyse re/connection with natural systems--the natural environment, our colleagues…

Given that social media and the internet are primary sources of information for parents seeking guidance on child development, it is vital to investigate how screen time research is communicated and propagated online. This study examines 136 online articles about screen time published between 2016 and 2021, analyzing how sensationalism and…

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…