基于数学建模的大学生参与科创竞赛影响因素研究

Research on Factors Affecting College Students’ Participation in Scientific and Technological Innovation Competitions Based on Mathematical Modeling

摘要: 本文针对大学生是否乐意参加科创竞赛的问题，深入探究影响大学生参加竞赛的影响因素。调查分析了个人意愿、老师支持、竞赛奖金等众多因素对大学生参加科研竞赛积极性的影响。基于调查问卷题目情况和调查结果构建残差神经网络，根据问卷信息预测大学生是否参加科研竞赛。该模型经过训练，预测大学生是否参加科研竞赛的准确率达到94.6%。此外，研究发现影响大学生参加科研竞赛的主要因素有是否加学分、与个人兴趣是否相同、有无带教老师、有无奖金、时间是否充足等。本模型探索了影响大学生参加科研竞赛积极性的客观条件、为培养大学生创新实践能力探索了有效路径，为高校深化教育教学改革提供有益参考。

Abstract: Aiming at the question of whether college students are willing to participate in science and innovation competition, this paper probes into the influencing factors of college students’ participation in competition. The influence of many factors such as personal willingness, teacher support and competition bonus on the enthusiasm of college students to participate in scientific research competition is investigated and analyzed. Based on the questionnaire questions and results, the residual neural network is constructed to predict whether college students participate in scientific research competitions. After training, the model has an accuracy of 94.6% in predicting whether college students participate in scientific research competitions. In addition, the research found that the main factors affecting college students to participate in scientific research competition are whether the credit is added, whether the interest is the same, whether there is a teacher, whether there is a bonus, whether there is enough time and so on. This model explores the objective conditions that affect the enthusiasm of college students to participate in scientific research competition, explores an effective way to cultivate college students’ innovative practical ability, and provides a useful reference for deepening education and teaching reform in colleges and universities.