机器学习分析了影响大学生学业成绩的因素
Jingzhao Lu1, Yaju Liu1, Shuo Liu1
1Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
Frontiers in psychology
|January 7, 2025
概括
超认知意识,动机和参与是大学生学术表现的关键. 机器学习,特别是XGBoost,准确地预测了成功,强调了整体学生支持的重要性.
科学领域:
- 教育心理学教育心理学
- 教育中的数据科学教育中的数据科学
背景情况:
- 学业成绩受到多方面的因素的影响.
- 了解这些因素对于有效的教育策略至关重要.
研究的目的:
- 确定影响大学生学业成绩的关键因素.
- 评估机器学习模型对学术成功的预测能力.
主要方法:
- 用于特征选择,使用了奇平方测试.
- 机器学习模型包括物流回归 (LOG),支持矢量分类 (SVC),随机森林分类器 (RFC) 和XGBoost用于预测.
主要成果:
- 该XGBoost模型在回忆和准确性方面表现出卓越的性能.
- 认知意识,学习动机和参与学习被确定为关键因素.
- 时间管理,环境因素和心理健康也会对学业成绩产生重大影响.
结论:
- 超认知意识,动机和参与对于学业成功至关重要.
- 专业培训通过整合理论和实践,积极影响学业成绩.
- 教育指导应专注于增强这些因素并支持学生的福祉.
更多相关视频
07:32Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
Published on: February 10, 2016
9.3K
10:43Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
Published on: June 10, 2021
5.2K
相关概念视频
Reliability and Validity
12.6K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.6K
Correlations
32.0K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.0K
Factorial Design
12.4K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
12.4K
Factors affecting Blood pressure
2.6K
Several physiological and lifestyle factors influence blood pressure (BP). Understanding these factors is crucial as they are significant in patient education and blood pressure management.
Physiological Factors:
Physiological Factors:
2.6K
Multiple Regression
2.8K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
2.8K
Mechanistic Models: Compartment Models in Individual and Population Analysis
12
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
12
