Lu Jingzhao, Liu Yaju, Liu Shuo, Yan Zhuo, Zhao Xiaoyu, Zhang Yi, Yang Chongran, Zhang Haoxin, Su Wei, Zhao Peihong
Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
Front Psychol. 2024 Dec 23;15:1447825. doi: 10.3389/fpsyg.2024.1447825. eCollection 2024.
This study aims to explore various key factors influencing the academic performance of college students, including metacognitive awareness, learning motivation, participation in learning, environmental factors, time management, and mental health. By employing the chi-square test to identify features closely related to academic performance, this paper discussed the main influencing factors and utilized machine learning models (such as LOG, SVC, RFC, XGBoost) for prediction. Experimental results indicate that the XGBoost model performs the best in terms of recall and accuracy, providing a robust prediction for academic performance. Empirical analysis reveals that metacognitive awareness, learning motivation, and participation in learning are crucial factors influencing academic performance. Additionally, time management, environmental factors, and mental health are confirmed to have a significant impact on students' academic achievements. Furthermore, the positive influence of professional training on academic performance is validated, contributing to the integration of theoretical knowledge and practical application, enhancing students' overall comprehensive competence. The conclusions offer guidance for future educational management and guidance, emphasizing the importance of cultivating students' learning motivation, improving participation in learning, and addressing time management and mental health issues, as well as recognizing the positive role of professional training.
本研究旨在探讨影响大学生学业成绩的各种关键因素，包括元认知意识、学习动机、学习参与度、环境因素、时间管理和心理健康。通过运用卡方检验来识别与学业成绩密切相关的特征，本文讨论了主要影响因素，并利用机器学习模型（如逻辑回归、支持向量机、随机森林、极端梯度提升）进行预测。实验结果表明，极端梯度提升模型在召回率和准确率方面表现最佳，为学业成绩提供了可靠的预测。实证分析表明，元认知意识、学习动机和学习参与度是影响学业成绩的关键因素。此外，时间管理、环境因素和心理健康被证实对学生的学业成绩有显著影响。此外，专业训练对学业成绩的积极影响得到验证，有助于理论知识与实际应用的融合，提高学生的整体综合能力。研究结论为未来的教育管理和指导提供了指导，强调了培养学生学习动机、提高学习参与度、解决时间管理和心理健康问题的重要性，以及认识到专业训练的积极作用。
