Cultivation of Sportsmanship and Physical Training Model Based on the Online Career Planning Platform—A Multidisciplinary Collaborative Education Path for Colleges and Universities
Year: 2025
Type: article
Abstract: As society continues to increase its requirements for the comprehensive quality of college students, sportsmanship and physical training are becoming increasingly important in college education. This paper aims to solve the lack of systematicness and pertinence in the current sportsmanship cultivation and physical training model in colleges and universities. By introducing the research on sportsmanship cultivation and physical training model based on the career planning online platform, this paper explores the multidisciplinary collaborative education path of colleges and universities. To this end, this paper proposes to empower the dissemination of sportsmanship through all-media technology, optimize personalized physical training programs through data analysis and intelligent recommendation, and closely combine sports literacy with career development needs through a multidisciplinary collaborative education mechanism. Strategically, an online career planning platform is used to accurately match physical needs with career development, optimize training content, and promote the dual improvement of students' sportsmanship and physical fitness. At the same time, an interdisciplinary cooperation platform is established to promote cooperation among universities, governments, enterprises and other parties to form an all-round talent training system. The results show that the endurance running results of the experimental group finally reaches 385 seconds, which is 25 seconds shorter than the previous period (410 seconds) and further shortened by 13 seconds compared to the mid-term (398 seconds), showing a sustained and stable improvement.
Author: Zhouxiang Shan
Institution: Anhui University
Language: English
Field: Health Professions
Domain: Health Sciences
SDG: Quality education
Open Access status: hybrid
Funder: Strong
OpenAlex ID: W4411324235