评估大规模开放式在线课程(MOOC)对改善菲律宾学校供水、环境卫生和个人卫生的影响

Kh. Shafiur Rahaman, Marvin Marquez, Sarah Bick, Bella Monse, Dexter Galban, Habib Benzian, Robert Dreibelbis
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引用次数: 0

摘要

在资源匮乏的环境中改善学校的水、环境卫生和个人卫生(WASH)服务是一项挑战。菲律宾教育部(DepEd)在德国国际合作机构(GIZ)和联合国儿童基金会(UNICEF)的支持下,实施了全国学校讲卫生运动计划,该计划提倡采取循序渐进的方法,以达到国家 WinS 标准,并促进讲卫生运动在教育部门的制度化。这包括对学校讲卫生运动服务水平进行国家级年度监测,这些信息用于设定目标和分配资源。自 2019 年起,该计划还为学校教职员工开设了大规模开放式在线课程(MOOC)。该平台为全国各地的学校提供统一的 WinS 实施指导。在本分析中,我们使用了 2017/2018 年(基线)和 2021/2022 年(端线)的年度讲卫生运动监测数据,并将其与学校层面的 MOOC 注册和完成信息进行了比较。对于分析中的每所学校,我们都计算了基线和终点的总体和特定领域星级排名,这是教育部采用的学校讲卫生运动服务的标准化 3 点综合衡量标准。线性回归模型评估了学校教职员工参与 MOOC 与基线和终点之间星级排名平均变化之间的关系,逻辑回归模型用于计算基线和终点之间星级排名提高的几率。有 28,779 所学校提供了基线和终点数据。其中,5980 所学校至少有一名教师参加了 MOOC。总体而言,MOOC 的参与与总体和具体领域星级排名的提高有关,其中卫生服务的提高幅度更大。MOOC 是国家 "讲卫生运动 "国家战略的重要组成部分,是对年度监测过程的补充,前景广阔,值得在学校管理部门进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the effect of a massive open online course (MOOC) on school water, sanitation, and hygiene improvements in the Philippines
Improving school water, sanitation, and hygiene (WASH) services in low-resources setting is a challenge. The Department of Education (DepEd) of the Philippines, supported by GIZ and UNICEF, runs the national WASH in schools program which promotes a stepwise approach to reach national WinS Standards and foster the institutionalization of WASH in the education sector. This includes national-level annual monitoring on WASH service levels in schools, information which is used to set target and allocation resources. Since 2019, the programme has also included a Massive Open Online Course (MOOC) for school staff. This platform provides uniform implementation guidance of WinS in the schools across the country. In this analysis, we use annual WASH monitoring data from the 2017/2018 (baseline) and 2021/2022 (endline) and compare this against school-level information on MOOC enrolment and completion. For each school in our analysis, we calculated baseline and endline overall and domain specific star ranking, a standardized 3-point composite measure of school WASH services adopted by DepEd. Linear regression models assessed the relationship between school staff participation in the MOOC and average change in star ranking between baseline and endline and logistic regression models were used to calculate the odds of improvement in star ranking between baseline and endline. Baseline and endline data were available for 28,779 schools. Of those, 5,980 schools had at least 1 teacher enrolled in the MOOC. Overall, MOOC participation was associated with improvements in both overall and domain specific star ranking, with larger improvements seen for hygiene services. The MOOC is a promising key component of the national WASH stategy complementing the annual monitoring process and warrants further investigation in the school management sector.
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