解决城市贫困的教育挑战:一个基于解决方案的研究案例
Macey Cartwright1, Erin O'Callaghan2, Sara Stacy3
1Department of Psychology, College of Arts and Sciences, University of Cincinnati, Cincinnati, OH, United States.
Frontiers in research metrics and analytics
|May 30, 2023
概括
基于解决方案的研究 (SBR) 为不稳定的城市环境中的弱势学生提供了对数学学习的见解. 传统的假设测试虽然对理解特定情境有效,但对于广泛的概括性来说仍然优越.
科学领域:
- 教育研究教育研究
- 城市教育 城市教育
- 数学学业的成绩表现.
背景情况:
- 在经济上处于劣势的学生表现出持续低的数学成绩,尽管在教育研究和资金的进步.
- 研究与实践之间的差距是一个重要的障碍,特别是在城市贫困学校,缺乏传统假设测试方法的稳定性.
研究的目的:
- 通过提出适应不稳定的学校环境的新方法来解决城市教育中的研究与实践的差距.
- 引入和评估基于解决方案的研究 (SBR) 作为评估教育干预措施的替代有效性方法.
主要方法:
- 开发了基于解决方案的研究 (SBR),结合了对学生学习的承诺,强弱分析以减轻偏见,以及特殊因子分析以实现概括性.
- 应用SBR在城市贫困学校环境中评估课后数学课程.
主要成果:
- SBR对学生的学习机会和障碍产生了独特的见解,这些障碍不会通过传统方法被发现.
- 该研究表明,虽然SBR提供了有价值的特定上下文理解,但传统的假设测试方法更有效地建立了广泛的概括性.
结论:
- 基于解决方案的研究 (SBR) 证明了在不稳定的教育环境中产生细微理解的潜力.
- 需要进行进一步的研究,以完善在本质上不稳定的环境中建立概括性的方法,弥合特定背景见解和更广泛的适用性之间的差距.
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