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Predicting Academic Performance from Future-Oriented Daily Time Management Behavior: A LASSO-Based Study of
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
Summary
First-year college students' time management behaviors significantly predict academic performance. Key behaviors like consistent tracking and planning impact grades, especially in subjects like Physical Education and English.
Area of Science:
- Educational Psychology
- Behavioral Science
Background:
- Effective time management is crucial for academic success.
- Understanding specific behaviors that predict performance is vital for student support.
Purpose of the Study:
- To investigate the predictive relationship between daily time management behaviors and academic performance in first-year college students.
- To identify key time management indicators that influence overall and subject-specific academic outcomes.
Main Methods:
- Collected data on 44 objective time management indicators from 110 first-year students over one month using a WeChat Mini Program.
- Employed Least Absolute Shrinkage and Selection Operator (LASSO) regression with bootstrap resamples to identify stable predictors.
- Utilized Elastic Net regression to examine explanatory relationships of selected predictors.
Main Results:
- Identified six key behavioral indicators that significantly predict overall academic performance.
- Found that time management behaviors had a stronger influence on performance in subjects like Physical Education and English compared to Mathematics.
- Observed variations in the number and nature of predictors across different academic disciplines.
Conclusions:
- Specific, measurable time management behaviors are robust predictors of first-year college academic performance.
- The impact of time management strategies on academic success varies by subject matter.
- Tailored interventions focusing on identified key behaviors may enhance student academic outcomes.
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