补充在线资源改善数据素养教育:来自社会科学方法课程的证据
Marco Alcocer1, Leonardo Falabella1, Alexandra Lange1
1Department of Political Science, University of California, San Diego, La Jolla, California, United States of Ameirca.
PloS one
|December 19, 2024
概括
一个在线资源改善了本科生数据分析技能. 更多地参与数据素养模块的学生在考试中获得了更高的成绩.
科学领域:
- 教育技术的教育技术
- 数据科学教育数据科学教育
- 高等教育教学的教学.
背景情况:
- 本科生经常发现发展数据素养技能是压力和挑战.
- 数据分析课程对于学术和职业成功至关重要,但却带来学习困难.
研究的目的:
- 为数据分析入门课程引入和评估在线补充教学资源.
- 评估异步在线学习模块对学生表现和参与数据素养的影响.
主要方法:
- 一个预先注册的,双盲的,主体内实验与本科生进行.
- 学生被随机分配到在线补充教学模块的子集.
- 对课程材料和补充模块所涵盖的概念进行考试成绩评估.
主要成果:
- 访问在线补充教学模块对学生在考试问题上的表现产生了积极的影响.
- 积极参与模块的学生在考试成绩上表现得更好.
- 根据先前的GPA或代表性不足的学生地位,没有观察到显著的差异性影响.
结论:
- 异步在线补充教学资源提供了一种可行的和有效的方法,以提高学生的数据素养学习.
- 开发的在线模块受到学生的积极欢迎,这表明了更广泛的采用潜力.
- 这种方法解决了与获得基本数据分析技能相关的学习困难和压力.
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