AIMC Topic: Schools

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The use of new technologies for nutritional education in primary schools: a pilot study.

Public health
INTRODUCTION: The aim of this study was evaluating if the presence of a humanoid robot could improve the efficacy of a game-based, nutritional education intervention.

Ecological Network Analysis: Utilizing Machine Learning to Unravel the Effects of Multilevel Pathways of Moderate⁃to⁃Vigorous Physical Activity Facilitators Among School Children.

Research quarterly for exercise and sport
The objective of the present study was to ascertain whether the association between moderate-to-vigorous intensity physical activity (MVPA) levels and individual, interpersonal, organizational, and environmental factors among school children is influ...

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.

Neural networks : the official journal of the International Neural Network Society
Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and their transformative momentum has surged into the domain of education, giving rise to a nascent wave of education-tailored LLMs. Despite their potentia...

Generative AI without guardrails can harm learning: Evidence from high school mathematics.

Proceedings of the National Academy of Sciences of the United States of America
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. A key question is how generative AI affects learning-namely, how humans acquire new skills as they perform t...

Constructing a predictive model of negative academic emotions in high school students based on machine learning methods.

Scientific reports
Negative academic emotions reflect the negative experiences that learners encounter during the learning process. This study aims to explore the effectiveness of machine learning algorithms in predicting high school students' negative academic emotion...

The application of suitable sports games for junior high school students based on deep learning and artificial intelligence.

Scientific reports
In the contemporary educational environment, junior high school students' physical education is facing the challenge of improving teaching quality, strengthening students' physique, and cultivating lifelong physical habits. Traditional physical educa...

The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment.

JASA express letters
This paper describes an original dataset of children's speech, collected through the use of JIBO, a social robot. The dataset encompasses recordings from 110 children, aged 4-7 years old, who participated in a letter and digit identification task and...

Student Behavior Analysis using YOLOv5 and OpenPose in Smart Classroom Environment.

AMIA ... Annual Symposium proceedings. AMIA Symposium
In the classroom, artificial intelligence techniques help automate student behavior analysis, and teachers are able to understand students' class status more effectively. We developed an intelligent method for classroom behavior analysis by building ...

Fundus Tessellated Density Assessed by Deep Learning in Primary School Children.

Translational vision science & technology
PURPOSE: To explore associations of fundus tessellated density (FTD) and compare characteristics of different fundus tessellation (FT) distribution patterns, based on artificial intelligence technology using deep learning.

Fake academic writing: ethics during chatbot era.

European journal of paediatric dentistry
"Professor, have you ever seen anything like this?". Few weeks ago I was asked this question by two young and esteemed specialist in orthodontics of my research group, actually PhD students, who showed me a laptop screen. "No, I have never seen anyth...