从面向未来的每日时间管理行为预测学术成绩:一年级大学生LASSO研究
Mingzhang Zuo1, Kunyu Wang1, Pengxuan Tang1
1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
Behavioral sciences (Basel, Switzerland)
|September 27, 2025
概括
一年级大学生的时间管理行为显著预测学业成绩. 关键的行为,如一致的跟踪和规划影响成绩,特别是在体育教育和英语等科目.
科学领域:
- 教育心理学教育心理学
- 行为科学 行为科学
背景情况:
- 有效的时间管理对于学业成功至关重要.
- 了解预测成绩的特定行为对于学生支持至关重要.
研究的目的:
- 研究第一年大学生日常时间管理行为与学业表现之间的预测关系.
- 确定影响整体和学科特定学术成果的关键时间管理指标.
主要方法:
- 在一个月内从110名一年级学生收集了44个客观时间管理指标的数据,使用微信迷你程序.
- 使用最小绝对缩小和选择运算符 (LASSO) 回归与启动重复样本来识别稳定的预测因子.
- 利用弹性净回归来检查选定的预测因子的解释关系.
主要成果:
- 确定了六个关键的行为指标,可以显著预测整体学业成绩.
- 发现,与数学相比,时间管理行为对体育和英语等科目的表现有更大的影响.
- 在不同学科中观察到预测因素的数量和性质的变化.
结论:
- 具体的,可衡量的时间管理行为是大学一年级学业绩的强有力的预测因素.
- 时间管理策略对学术成功的影响因学科而异.
- 针对特定关键行为进行定制干预,可以提高学生的学业成绩.
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