Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Learning Disabilities01:25

Learning Disabilities

252
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
252
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Wound-Directed Perfusion in a Vascular Surgery Registry of Rheocarna® Apheresis for Treatment-Refractory Chronic Limb-Threatening Ischemia: Visualized Flow to the Wound Bed and Sustained Pedal Inflow as Determinants of Healing and Recurrence.

Annals of vascular surgery·2026
Same author

Associations between computed tomography features and obstructive lung diseases: The NOVELTY-CT substudy.

Allergology international : official journal of the Japanese Society of Allergology·2026
Same author

Staged Surgical and Endovascular Management of Parkes-Weber Syndrome to Preserve Limb Function: A Case Report.

Surgical case reports·2026
Same author

Examination of the Reliability and Responsiveness of a Japanese Version of the Movement Imagery Questionnaire for Children: Toward Application in Children With Developmental Coordination Disorder.

Occupational therapy international·2026
Same author

Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study.

JMIR AI·2026
Same author

Effect of prophylactic subcutaneous unfractionated heparin on the maternal sFlt-1/PlGF ratio: a retrospective cohort study.

BMC pregnancy and childbirth·2026

Related Experiment Video

Updated: Aug 14, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Diagnostic model for preschool workers' unwillingness to continue working: Developed using machine-learning

Moemi Matsuo1, Koutarou Matsumoto2, Misako Higashijima1

  • 1Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan.

Medicine
|January 13, 2023
PubMed
Summary

High preschool worker turnover is a global concern. This study identified key factors like mental distress and workplace issues, developing a model to predict and reduce teacher attrition.

More Related Videos

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.2K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.6K

Related Experiment Videos

Last Updated: Aug 14, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.2K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.6K

Area of Science:

  • Early Childhood Education
  • Occupational Psychology
  • Human Resources Management

Background:

  • Preschool teacher turnover has significantly increased globally over the last decade.
  • High attrition rates negatively impact childcare quality and parental workforce participation.
  • Understanding the drivers of preschool worker attrition is crucial for retention strategies.

Purpose of the Study:

  • To develop a diagnostic model for predicting preschool workers' intention to leave their jobs.
  • To identify key predictors associated with unwillingness to continue working in the preschool sector.
  • To provide actionable insights for improving preschool workforce stability.

Main Methods:

  • A diagnostic model was developed using logistic regression, comparing it with LASSO and XGBoost algorithms.
  • Data was collected from 1002 full-time preschool workers via general and mental health questionnaires.
  • SHapley Additive exPlanations (SHAP) were employed to visualize predictor-outcome relationships, particularly work experience.

Main Results:

  • The logistic regression model identified "not living with children," "human relation problems with boss," "high risk of mental distress," and "work experience" as significant predictors.
  • A risk score was developed, with an optimal cutoff value of 14 points indicating a high likelihood of unwillingness to continue working.
  • The model effectively predicts preschool worker attrition risk based on identified factors.

Conclusions:

  • The developed diagnostic model offers a practical tool for identifying at-risk preschool workers.
  • Supervisors can utilize this model for targeted interventions to address employee difficulties and improve retention.
  • Addressing mental distress, workplace relationships, and work experience can mitigate preschool teacher turnover.