AIMC Topic: Schools

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Prediction of school PM by an attention-based deep learning approach informed with data from nearby air quality monitoring stations.

Chemosphere
Predicting indoor air pollutants concentrations in schools is essential for ensuring a healthy learning environment. Traditional measurements methods pose challenges in cost, maintenance, and time. This study proposes a new approach using a deep lear...

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

Disability and rehabilitation. Assistive technology
There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - m...

Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning.

JMIR public health and surveillance
BACKGROUND: Understanding the factors contributing to mental well-being in youth is a public health priority. Self-reported enthusiasm for the future may be a useful indicator of well-being and has been shown to forecast social and educational succes...

Smart Classrooms: How Sensors and AI Are Shaping Educational Paradigms.

Sensors (Basel, Switzerland)
The integration of advanced technologies is revolutionizing classrooms, significantly enhancing their intelligence, interactivity, and personalization. Central to this transformation are sensor technologies, which play pivotal roles. While numerous s...

Investigation of bias in the automated assessment of school violence.

Journal of biomedical informatics
OBJECTIVES: Natural language processing and machine learning have the potential to lead to biased predictions. We designed a novel Automated RIsk Assessment (ARIA) machine learning algorithm that assesses risk of violence and aggression in adolescent...

Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach.

Journal of affective disorders
BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The incidence of SI among high (junior and senior) school students is significantly higher than that of other age groups. The aim of this study is to explore ...

An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach.

Behavior research methods
To increase early identification and intervention of dyslexia, a prescreening instrument is critical to identifying children at risk. The present work sought to shorten and validate the 30-item Mandarin Dyslexia Screening Behavior Checklist for Prima...

Complex artificial intelligence models for energy sustainability in educational buildings.

Scientific reports
Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. Th...

Machine learning predicts upper secondary education dropout as early as the end of primary school.

Scientific reports
Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a significant chall...

Unravelling the skills of data scientists: A text mining analysis of Dutch university master programs in data science and artificial intelligence.

PloS one
The growing demand for data scientists in both the global and Dutch labour markets has led to an increase in data science and artificial intelligence (AI) master programs offered by universities. However, there is still a lack of clarity regarding th...