ArticleScientific reports2024
Fuzzy evaluation model for physical education teaching methods in colleges and universities using artificial intelligence.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of digital-intelligent technologies in physical education: a systematic review.Frontiers in public health · 2025Pooled it
- Construction of intelligent evaluation model for physical education classroom in primary and secondary schools based on posture estimation and motion recognition.Scientific reports · 2026Article
- Artificial intelligence for university physical education: a data-knowledge synergy digital-intelligent sports platform.Frontiers in public health · 2026Article
- The impact of intention to adopt generative AI for exercise information on exercise adherence among Chinese college students: the mediating role of autonomous motivation and network analysis.Frontiers in public health · 2026Article
- Optimization of interdisciplinary competence development methods for university faculty based on artificial neural networks.Scientific reports · 2025Article
- Intelligent data driven assessment of physical education programs using circular intuitionistic fuzzy MAIRCA CRITIC model.Scientific reports · 2025Article
- Investigation of physical education classroom teaching using AHP with IV-CIFS-based aggregation operators.Scientific reports · 2025Article
- A hybrid deep learning and fuzzy logic framework for feature-based evaluation of english Language learners.Scientific reports · 2025Article
- A hybrid q-rung linear diophantine fuzzy WASPAS approach for artificial intelligence algorithm selection in physical education.Scientific reports · 2025Article
- Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models.Scientific reports · 2025Article
- Optimization of teaching quality of college physical education by using decision making technique under complex interval valued fermatean fuzzy model.Scientific reports · 2025Article
- Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence.Scientific reports · 2025Article
- Reform and innovation of physical education teaching methods in universities based on fuzzy decision support systems.Scientific reports · 2025Article
- The Paradox of AI Empowerment in Primary School Physical Education: Why Technology May Hinder, Not Help, Teaching Efficiency.Behavioral sciences (Basel, Switzerland) · 2025Article
- Regularized multi-path XSENet ensembler for enhanced student performance prediction in higher education.PeerJ. Computer science · 2025Article
- Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy.Scientific reports · 2024Article
- Artificial intelligence in physical education: comprehensive review and future teacher training strategies.Frontiers in public health · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evaluation of Physical Education Teaching Methods in Colleges and Universities faces two main challenges: an excess of evaluating elements and a lack of assessment framework. Hence, the research proposes the multi-feature fuzzy evaluation model based on artificial intelligence to streamline the evaluation process and provide an efficient framework for accessing teaching methods. The framework integrates natural/human language using fuzzy instructions considering three evaluation perspectives, including the management stage, instructors, and students and employs the enhanced cuckoo search optimization algorithm. After the teaching expert has determined each parameter's ratings, they are fed into the improved cuckoo search algorithm and solved using an unbiased function to assess the assessment's final result. It incorporates the students' mobility mechanism and movement vector deconstruction designed based on functional criteria. A system for evaluating the quality of instruction has been developed utilizing the proposed model with enhanced cuckoo search optimization. The results indicate that the proposed algorithm has achieved the highest scores across multiple assessment categories, average skill performances of 97.01%, learning progress of 87.36%, physical fitness of 93.49%, participation rate of 95.04%, student satisfaction of 95.49%, and physical education of 96.8% teaching efficiency. The usefulness of the proposed framework in enhancing physical education teaching methods has been demonstrated by comparing the results with traditional methods. It contributes to advancing pedagogical practices in the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.