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…

Cognitive maps are mental representations of space essential for guiding spatial behavior. To assess the properties of these cognitive maps, sketch mapping has been widely used as a research tool in spatial cognition research. This scoping review aims to provide a comprehensive overview of the methodologies and the cognitive processes concerning…

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…

Purpose: Digital platforms and apps utilize a range of engaging features, structural guidance and algorithms to create and sustain immersive experiences. While immersion is crucial for captivation, initial adoption and early app use, limited research has explored its role in post-adoption behavior and habit formation. This study investigates these…

This document records testimony from a hearing before the Subcommittee on Early Childhood, Elementary, and Secondary Education of the Committee on Education and Workforce about the impact of artificial intelligence (AI) on K-12 education. Opening statements were presented by: (1) Honorable Kevin Kiley, Chairman, Subcommittee on Early Childhood,…

This study examines how university literature students evaluate alternative endings for George Orwell's "Animal Farm" that were either created by their peers or generated by ChatGPT. Using a rubric-based approach, students assessed these endings on elements such as conceptual relevance, literary devices, and overall narrative impact. By…

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…

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…

FAIR (findable, accessible, interoperable, reusable) research data including software have become a major point of discussion for the educational technology (EdTech) community in recent years. For software, the community has been investigating these issues since its inception in the 90s and 2000s, first starting with learning objects. In this…

The literature on generative "Artificial Intelligence" (AI) in education primarily focuses on its immediate benefits and applications, such as personalized learning, student engagement, and content generation. However, there is a notable absence of empirical research concerning the holistic use of generative AI within educational…