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Then, based on its overall framework, the system is designed from six functional modules: registration and login, course description, theoretical basis, problem communication, intelligent test paper composition, and knowledge extension. In addition, an intelligent test paper composition module is designed, and genetic algorithm improved by simulated annealing algorithm is used as intelligent paper composition algorithm, so as to conduct intelligent test paper composition for practical application of aerobics teaching. Finally, system function is tested. Test results reveal that functional modules of this system are complete, by which students can learn and take online aerobics exams, exchange questions with classmates and teachers, and download aerobics related videos, improving the practicality and interactivity of aerobics teaching.<\/jats:p>","DOI":"10.1142\/s0218126625504468","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T03:57:03Z","timestamp":1755143823000},"source":"Crossref","is-referenced-by-count":0,"title":["Design and Implementation of an Intelligent Aerobics Teaching Test System Based on Genetic Algorithm Optimization"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7452-6977","authenticated-orcid":false,"given":"Song","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Physical Education, Hunan University of Arts and Science, Changde 415000, P. R. 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