在研究生公共卫生教育中增加学生对课程内容的参与:一项针对行为推动的试点随机试验
Samantha Garbers1, Allyson D Crinklaw1, Adam S Brown2
1Heilbrunn Department of Population & Family Health, Columbia University Mailman School of Public Health, 60 Haven Avenue, Room B3-311, New York, NY 10032 USA.
数字学习分析提供了关于学生参与度的数据. 然而,将课程完成与成绩联系起来的行为推动并没有显著改善这项试点研究中的参与度.
科学领域:
- 教育技术的教育技术
- 学习分析学习分析
- 公共卫生教育 公共卫生教育
背景情况:
- 数字技术的进步已经改变了学生参与度的测量.
- 学习管理系统生成学生行为的学习分析.
- 在公共卫生研究生课程中,了解学生的参与度至关重要.
研究的目的:
- 测试行为推动对学生参与度的影响.
- 分析学习分析驱动干预措施的有效性.
- 为提高学生参与度提供未来策略的信息.
主要方法:
- 在研究生公共卫生核心课程中的试点随机对照试验.
- 干预涉及数字"推"与学习分析数据.
- nudges将课程完成与绩效评估联系在一起.
主要成果:
- 学生的参与度显示出显著的每周变化.
- 行为推动并没有显著改变学生参与度.
- 关于nudge有效性的先验假设没有得到支持.
结论:
- 实施的行为推动并没有增强学生的参与度.
- 进一步的研究应该探索学生的动机和先进的分析方法.
- 未来的干预需要进行定性评估和随机分析,以获得更丰富的见解.
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
13:57Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
相关概念视频
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Behavior Modification
A real-world application of operant conditioning principles is applied...
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...
