评估大学过渡在线课程对学生继续学习的影响,使用统计匹配方法
1Institute of Education, University of Reading, Reading, UK.
Evaluation review
|May 2, 2025
概括
报名参加大学过渡课程显著提高了第一年通过率6.2%. 这项研究强调了在线学习支持对学生成功的有效性,使用先进的统计方法.
科学领域:
- 教育研究教育研究
- 高等教育研究 高等教育研究
- 定量分析 定量分析
背景情况:
- 大学学生的过渡期带来了影响学术成功的挑战.
- 有效的支持系统对于第一年学生的留守和成绩至关重要.
- 评估集中式倡议需要强大的方法方法方法.
研究的目的:
- 评估一所全校在线预入学课程对一年级学生合格率的影响.
- 展示倾向得分匹配 (PSM) 和双重稳定估计 (DRE) 在教育计划评估中的应用.
- 用纵向机构数据评估课程对学生成功的影响.
主要方法:
- 使用倾向得分匹配 (PSM) 和双重可靠估计 (DRE) 进行因果推断.
- 分析了7个学年 (2016/172022/23) 超过28000名学生的数据.
- 对人口和社会经济因素进行控制,包括性别,住所,年龄,种族,残疾和社会经济地位.
主要成果:
- 报名参加在线课程的学生在第一年通过课程的可能性上增加了6.2个百分点.
- 分析比较实施前和后的时期以及跨队列的分析支持了积极的影响.
- 该研究证实了现有机构数据对评估教育干预措施的有用性.
结论:
- 可选的入学前在线课程是改善一年级学生学业成绩的有效干预措施.
- 倾向性得分匹配和双重可靠估计是利用机构数据评估大学举措的可行技术.
- 利用机构数据可以加强对集中式学生支持计划影响的证据.
更多相关视频
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
3.4K
10:17Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
877
相关概念视频
Longitudinal Research
11.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.8K
Comparing the Survival Analysis of Two or More Groups
83
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
83
Longitudinal Studies
81
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
81
Study Design in Statistics
7.7K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.7K
Introduction To Survival Analysis
114
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
114
Kaplan-Meier Approach
52
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
52
