The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…

Students' physical and digital lives are increasingly entangled. It is difficult to separate students' "digital" well-being from their offline well-being given that artificial intelligence increasingly shapes both. Within the context of education's fiduciary and moral duty to ensure safe, appropriate and effective digital learning spaces…

Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…

This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…

The fast development and spread of artificial intelligence (AI) in the education field is prompting educational stakeholders to study how new AI technology will influence teaching and learning. The problem this basic qualitative study will address is the lack of teacher knowledge of artificial intelligence (AI) due to limited pedagogy, which is…

Teacher candidates and teacher educators of color often carry a heavy emotional burden as a consequence of the epistemic violence they experience in many TEPs (Teacher of Color Collective & Sauto-Manning, 2022). To interrupt this pattern, we must critically engage with emotion by examining what emotions "do," how emotions function…

There is an essential concept in Taoist wisdom called Wu Wei. The term is Lao Zi's advice aimed at understanding the limits of human behavior as a leader to face various possibilities. This leadership concept has similarities and differences with Platonic teachings called Philosophers King, which has often become an ideal standard for leadership…

Creating effective educational materials generally requires expensive and time-consuming studies of student learning outcomes. To overcome this barrier, one idea is to build computational models of student learning and use them to optimize instructional materials. However, it is difficult to model the cognitive processes of learning dynamics. We…

Think-aloud protocols are a common method to study self-regulated learning (SRL) during learning by problem-solving. Previous studies have manually transcribed and coded students' verbalizations, labeling the presence or absence of SRL strategies and then examined these SRL codes in relation to learning. However, the coding process is difficult to…

Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…

In September 2024, Bellwether released a three-part report, entitled "Learning Systems," on artificial intelligence (AI) in K-12 education. The report's stated purpose is to provide a holistic picture of the opportunities and risks that AI presents for education stakeholders, and it offers recommendations for policymakers and…

Autistic young people experience high levels of co-occurring mental health difficulties, including anxiety, depression and behavioural difficulties, across their lifespan. Understanding the neuropsychological mechanisms which underlie these difficulties is vital in developing personalised supports and interventions. Cognitive inflexibility is one…

Autism spectrum disorder (ASD) is an abnormal condition of brain development characterized by impaired cognitive ability, speech and human interactions, in addition to a set of repetitive and stereotyped patterns of behaviours. Although no cure for autism exists, early medical intervention can improve the associated symptoms and quality of life.…

Innovations in genetics, nanotechnology and artificial intelligence involve the possibility of enhancement of human attributes and capacities--offering humans innumerable opportunities for diverse, unprecedented experiences and developments both physically and cognitively. These new innovations, frequently associated with theoretical frameworks…

EEG microstates represent transient electrocortical events that reflect synchronized activities of large-scale networks, which allows investigations of brain dynamics with sub-second resolution. We recorded resting EEG from 38 children and adolescents with Autism Spectrum Development (ASD) and 48 age, IQ, sex, and handedness-matched typically…