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

Introduction to Stress and Lifestyle01:27

Introduction to Stress and Lifestyle

512
Stress is a multifaceted response to events perceived as challenging or threatening, highlighting physical, emotional, cognitive, and behavioral reactions. Physically, stress can lead to fatigue, sleep disruptions, and various health issues such as frequent colds, chest pains, and nausea. Emotionally, it can manifest as anxiety, depression, irritability, and anger triggered by both minor and major life events. Cognitively, it may result in difficulty in concentration, memory, and...
512
Psychological Responses to Stress01:20

Psychological Responses to Stress

479
Psychological responses to stress encompass the various cognitive and emotional reactions individuals experience when faced with challenging or threatening situations, such as a job loss. Prolonged exposure to stressors can disturb emotional balance, increasing negative emotions (e.g., anxiety and sadness) and diminishing positive emotions (e.g., joy and satisfaction). These persistent emotional shifts are associated with an increased risk of both physical illness and mental health issues, such...
479
Principal Stresses: Problem Solving01:15

Principal Stresses: Problem Solving

546
When analyzing two planes intersecting at right angles under the influence of shearing, tensile, and compressive stresses, it is essential to identify principal planes, maximum shearing stress, and principal stresses. To find the principal planes, apply a formula that equates them to twice the shearing stress divided by the difference between tensile and compressive stresses.
546
Types of Stressors01:23

Types of Stressors

641
A stressor is any event, condition, or stimulus that triggers stress and causes a physical or psychological response in the body. Stressors can be categorized into three main types: catastrophes; significant life changes; and daily hassles, including social stress. Each can be detrimental to physical and mental well-being.
Catastrophes
Catastrophes refer to large-scale, unpredictable events that create overwhelming stress and a sense of threat. Examples include natural disasters like...
641
Stress: General Loading Conditions01:15

Stress: General Loading Conditions

526
To grasp the intricacy of real-world conditions where multiple loads are applied simultaneously to a structure, one might visualize a section passing through a specific point within a body, aligned parallel to the xy plane. This section is subjected to various forces, including original loads, normal forces, and shearing forces.
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes....
526
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

493
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
493

You might also read

Related Articles

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

Sort by
Same author

Epitope-Imprinted Polymers: Fabrication Technologies and Emerging Applications.

Analytical chemistry·2026
Same author

Explainable machine learning for sustainable education: Predicting college students' reliance on generative artificial intelligence.

Acta psychologica·2026
Same author

Genomic insights into recurrent demographic collapses and recovery dynamics in Tibetan antelopes (Pantholops hodgsoni).

Science China. Life sciences·2026
Same author

Expanded Histologic Lineage and Origin of Mesonephric-Like Adenocarcinoma: A Clinicopathologic Study of 9 Cases.

International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists·2026
Same author

Quantitative evaluation of China's artificial intelligence policies: A PMC index-based modeling approach.

PloS one·2026
Same author

Focal hotspot and diffuse immune subtypes of tumor-infiltrating lymphocytes: AI-powered spatial clustering classification and its clinical relevance to HER2 expression in triple-negative breast cancer.

Journal of translational medicine·2025

Related Experiment Video

Updated: Jan 15, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

8.3K

Crying in the algorithm: modeling academic stress via multilayer topic construction and ERA effect.

Liwei Ding1, Hongfeng Zhang1, Jinqiao Zhou1

  • 1Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China.

Frontiers in Psychology
|October 6, 2025
PubMed
Summary

Students semantically construct academic stress in digital spaces. The Expectancy-Regulation-Amplification (ERA) model explains how external expectations, limited resources, and digital amplification shape student stress and vulnerability.

Keywords:
academic pressureexpectancy-regulation-amplification (ERA) modelmulti level topic modelingmultilevel stress theorysentiment analysis

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

7.4K
A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
06:15

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

Published on: July 10, 2017

13.4K

Related Experiment Videos

Last Updated: Jan 15, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

8.3K
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

7.4K
A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
06:15

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

Published on: July 10, 2017

13.4K

Area of Science:

  • Educational Psychology
  • Computational Social Science
  • Mental Health Research

Background:

  • Academic stress significantly impacts student mental health amidst rising educational competition.
  • Limited research exists on how students semantically express academic stress in digital environments.
  • Understanding digital discourse on academic pressure is crucial for mental health interventions.

Purpose of the Study:

  • To analyze the semantic construction of academic stress in social media comments.
  • To identify key stressors and their interplay using a novel topic modeling framework.
  • To develop the Expectancy-Regulation-Amplification (ERA) Model for understanding student vulnerability.

Main Methods:

  • Integrated BERTopic and Latent Dirichlet Allocation (LDA) for multilayered topic modeling.
  • Analyzed 33,827 user-generated comments on academic pressure from social media.
  • Grounded analysis in Multilevel Stress Theory.

Main Results:

  • Identified six interrelated topics reflecting individual, situational, and structural stressors.
  • Revealed how academic pressure is linguistically reproduced and sentimentally intensified online.
  • Developed the ERA Model conceptualizing academic stress as a dynamic process.

Conclusions:

  • The ERA Model offers a framework for understanding student vulnerability in digital contexts.
  • Findings highlight the interplay of expectations, self-regulation, and amplification in academic stress.
  • Provides insights for targeted interventions in education and mental health support.