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

You might also read

Related Articles

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

Sort by
Same journal

RETRACTION: Optimization and Modeling of Cr (VI) Removal from Tannery Wastewater onto Activated Carbon Prepared from Coffee Husk and Sulfuric Acid (H<sub>2</sub>SO<sub>4</sub>) as Activating Agent by Using Central Composite Design (CCD).

Journal of environmental and public health·2026
Same journal

RETRACTION: Iodine Status in Pregnant Women Having Urinary Fluoride in Contaminated Areas: A Case Study of Phayao Province.

Journal of environmental and public health·2026
Same journal

RETRACTION: Garden Landscape Design Method in Public Health Urban Planning Based on Big Data Analysis Technology.

Journal of environmental and public health·2025
Same journal

RETRACTION: Analysis and Research on the Impact of Physical Exercise on Residents' Health Based on the Improved BP Neural Network Model.

Journal of environmental and public health·2025
Same journal

RETRACTION: Analysis of the Impact of Ecological Innovation and Green Investment on China's CO<sub>2</sub> Emissions.

Journal of environmental and public health·2025
Same journal

Copyright Transaction Mode and Copyright Protection Risk Analysis of Green Industry from the Perspective of Information Environment.

Journal of environmental and public health·2024
See all related articles

Related Experiment Video

Updated: Aug 26, 2025

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

14.8K

A Deep Learning-Based TE Method for MSs' Mental Health Analysis.

Ranxin Tao1

  • 1School of Marxism, Zhengzhou College of Finance and Economics, Zhengzhou Henan 450000, China.

Journal of Environmental and Public Health
|October 10, 2022
PubMed
Summary
This summary is machine-generated.

Teaching evaluation (TE) for mental health courses effectively incorporates Marxism

More Related Videos

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.4K
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

4.0K

Related Experiment Videos

Last Updated: Aug 26, 2025

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

14.8K
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.4K
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

4.0K

Area of Science:

  • Educational Psychology
  • Curriculum Development
  • Higher Education Pedagogy

Background:

  • Teaching evaluation (TE) is crucial for assessing educational value and curriculum appropriateness.
  • Mental health courses uniquely impart psychological knowledge and cultivate students' coping abilities.
  • Marxism, as a scientific worldview, positively influences students' mental health.

Purpose of the Study:

  • To develop an effective teaching evaluation system for mental health courses that integrates the influence of Marxism.
  • To implement aspect-based sentiment analysis (ABSA) on student evaluation texts using a novel deep memory network.
  • To enhance the accuracy of teaching evaluation by combining sentiment analysis with student course scores.

Main Methods:

  • Established a specialized evaluation index system for mental health courses, incorporating Marxist principles.
  • Developed a deep memory network with prior information (PI-DMN) for aspect-based sentiment analysis (ABSA) of student feedback.
  • Utilized an LSTM model, integrating sentiment analysis results and student course scores for teaching evaluation.

Main Results:

  • Data analysis confirmed that Marxism positively influences students' mental health.
  • Empirical analysis demonstrated that incorporating sentiment analysis of comment texts improves TE accuracy.
  • Aspect labeling of the dataset further enhanced the precision of the teaching evaluation.

Conclusions:

  • Marxism is a significant factor in promoting student mental health within educational settings.
  • Integrating sentiment analysis and aspect labeling into teaching evaluation systems enhances accuracy and effectiveness.
  • A holistic approach to evaluating mental health courses, considering both quantitative scores and qualitative feedback, is recommended.