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…

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…

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…

Introduction: The Convention on the Rights of Persons with Disabilities establishes that the support to independent living should be community-based and under the choice and control of each person. This study compares the assessment of support practices by people with intellectual disabilities receiving support versus support staff and by people…

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…

This contribution focuses on reasoning about quadrilaterals provided by lower secondary school students when working with pre-prepared dynamic constructions. On this topic, we present an exploratory empirical qualitative study carried out within a GeoGebra Classroom environment, and our diagnostic instrument consists of a set of dynamic…

Context: This study uses a social space approach to investigate Virtual Reality (VR)-based workplace learning in the context of apprenticeship training in the electronics industry in Switzerland. It was one part of a project which developed a prototype VR environment that enables apprentices to practice testing an electrical installation in a…

Young children engage with digital technologies from a very young age. Often this is considered detrimental to their social development as it is seen as a socially isolating experience. This paper presents the findings of an Australian Research Council funded research project that focused on what characterises infants and toddlers peer-to-peer…

In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…

To date, neuroanatomy education courses are still based on two-dimensional (2D) illustrations combined with cadaver dissections. To gain a more comprehensive understanding of neuroanatomy, we offered mixed reality experience using a head-mounted device (HMD) for medical students during their neuroanatomy course. This pilot study´s purpose was to…

Statistical learning refers to the ability to detect regularities from sensory input, including speech. Statistical learning plays a key role in language acquisition, particularly for complex structures, such as nonadjacent dependencies, that are ubiquitous in natural language syntax. This study investigates nonadjacent dependency learning in…

Background and Aims: The internet and social media are increasingly accessible to people with intellectual disabilities, offering significant benefits but also posing unique challenges and risks. This study aimed to explore the online experiences of adults with intellectual disabilities in England. Methods: An accessible survey was conducted from…

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…

Generative artificial intelligence (AI) models are increasingly able to produce and combine sophisticated text, image, and audio. These advancements are challenging composers and teachers, as they work to reimagine and resist ways that composition and creative work are changing. This paper reports on one analysis in a larger study on multimodal…