With the emergence of generative artificial intelligence (GenAI) and ChatGPT, individualization of learning pathways was discussed in the educational context. One way to achieve customization is the use of specialized versions of ChatGPT--so-called GPTs. Those GPTs are publicly available and used daily by thousands of people worldwide. In this…

Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…

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…

In this essay, we introduce "media quiteracy," which we use to conceptualize and describe the valuable learning that can happen through the refusal to take up new media or the act of pausing or ceasing its use. We see media quiteracy as an active and generative approach to learning and argue for its inclusion in the media literacy…

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 scope-review presents the milestones of how Hierarchical Rater Models (HRMs) become operable to used in automated essay scoring (AES) to improve instructional evaluation. Although essay evaluations--a useful instrument for evaluating higher-order cognitive abilities--have always depended on human raters, concerns regarding rater bias,…

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…

Methodological advancements for the study of learning processes are both shaped by and drivers of technology developments. Interaction Analysis (IA), as a core methodological approach over the past three decades is reflective of this relationship and can be understood by examining moves from analogue video tapes, to digital media, computational…

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…

Scholars and practitioners seldom consider pedagogy as a starting point in their appreciations of the role of leadership in education. However, the rise of invisible pedagogies may warrant a revaluation of this practice. Invisible pedagogies are enabled by cloud-based learning management platforms and their data-driven algorithms and protocols,…

Research into the use of virtual reality (VR) for educational purposes is increasing, but most of the existing literature focuses on the positive effects of VR on users, with its possible negative effects remaining underexplored. An inadequate understanding of the negative effects can put users at risk. To address this research gap, the main…

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…