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

The Influence of Cognition on Affect01:29

The Influence of Cognition on Affect

2
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
2
Stereotype Content Model02:16

Stereotype Content Model

14.9K
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...
14.9K
Bullying02:04

Bullying

8.5K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.5K
Reliability and Validity01:29

Reliability and Validity

13.2K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.2K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.9K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Genome-Wide Identification, Expression and Tissue-Specific Epigenetic Modification Analysis of the <i>Su(var)3-9 SET</i> Gene Family in Soybean.

Biology·2026
Same author

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same author

Soil properties, rather than urbanization time, drive shifts in soil bacterial communities in a subtropical city of China.

Applied and environmental microbiology·2026
Same author

An innovative paper-based dual-mode sensor integrating fluorescence and colorimetry for sensitive detection of quercetin via CeO<sub>2</sub>@UiO-66-NH<sub>2</sub> nanozyme.

Talanta·2026
Same author

Rationally architected MOF-derived Co<sub>3</sub>O<sub>4</sub>@NiMn-LDH hollow heterostructure-based sensor array empowering sensitive detection and discrimination of neurological biomarkers.

Biosensors & bioelectronics·2026
Same author

A Self-Powered Sensing Platform Based on the Janus Heterostructure for Machine Learning-Assisted Dual-Mode Detection of 17β-Estradiol.

Analytical chemistry·2026

Related Experiment Video

Updated: Sep 19, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.2K

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

Shumeng Ma1, Ning Jia2, Xiuchao Wei1,3

  • 1College of Education, Hebei Normal University, Shijiazhuang, 050024, China.

Scientific Reports
|June 1, 2025
PubMed
Summary

Machine learning accurately predicts high school students' negative academic emotions. Key factors include emotional control and attribution styles, offering insights for psychological health interventions.

Keywords:
High school studentsMachine learning algorithmsNegative academic emotionsPrediction

More Related Videos

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.1K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.6K

Related Experiment Videos

Last Updated: Sep 19, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.2K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.1K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.6K

Area of Science:

  • Educational Psychology
  • Machine Learning Applications
  • Adolescent Mental Health

Background:

  • Negative academic emotions impact student well-being and learning.
  • Ecological systems theory provides a framework for understanding influencing factors.
  • Promoting psychological health in high school students is crucial.

Purpose of the Study:

  • To evaluate machine learning algorithms for predicting negative academic emotions in high school students.
  • To identify key individual and school factors contributing to these emotions.
  • To inform interventions for enhancing student psychological health.

Main Methods:

  • A cohort of 1,710 high school students from Hebei Province, China, was studied.
  • Data collected included resilience, attributional style, self-efficacy, teacher discipline, and academic emotions.
  • Machine learning models (e.g., random forest, logistic regression) were applied for prediction and factor analysis.

Main Results:

  • The random forest model achieved the highest predictive accuracy at 83.9%.
  • Forward feature selection identified affect control as the most significant predictor.
  • Other key factors included ability attribution, luck attribution, background attribution, and self-efficacy.

Conclusions:

  • Machine learning models are effective tools for predicting negative academic emotions.
  • Intervention strategies should focus on developing emotional control and attributional styles.
  • Findings offer valuable insights for educational practices to support student mental health.