AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

APPLICATION OF PHYSICS PROBLEM SOLVING METHOD BASED ON ETA PHYSICAL COGNITIVE MODEL: TAKING A MECHANICS COMPETITION QUESTION AS AN EXAMPLE

Zhen WANG( )Xiaoming WUWenhuan TAOMengli LI
Hefei No.1 High School, Hefei, Anhui 230000
Show Author Information

Abstract

Mechanical problem-solving training in exam-oriented education cultivates students’ application abilities but lacks training in exploration skills. The ETA Physics Problem-Solving Method, based on the ETA Physics Cognitive Model, transforms problems into research topics. The process of solving problems is also a scientific research process, which can simultaneously train scientific cognition, scientific methods, and scientific spirit, truly achieving the unification of teaching, learning, examination, and research. This paper illustrates the advantages of the ETA Physics Cognitive Model in problem-solving by analyzing a mechanics competition problem using the ETA Physics Problem-Solving Method, laying the foundation for students to better apply ETA in scientific research, artificial intelligence, and other fields in the future.

References

【1】
【1】
 
 
Physics and Engineering
Pages 245-249

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
WANG Z, WU X, TAO W, et al. APPLICATION OF PHYSICS PROBLEM SOLVING METHOD BASED ON ETA PHYSICAL COGNITIVE MODEL: TAKING A MECHANICS COMPETITION QUESTION AS AN EXAMPLE. Physics and Engineering, 2026, 36(3): 245-249. https://doi.org/10.26599/PHYS.2026.9320332

13

Views

0

Downloads

0

Crossref

Received: 30 August 2025
Revised: 10 September 2025
Published: 07 August 2026
© 2026 Physics and Engineering.