from    
to    
search  

 


Phase transition of random plaquette models
Tiling with Electrons: fractionalization and emergent symmetry
Pyroptosis & Innate Immunity: Mechanisms & Therapeutics Potentials
【数学之美-杰出学者讲坛】2024年第6期 || Some recent results on conformally in...
报告题目:
Evidence-based Decision-making in Schools and Districts in the US
 报告人:
潘一林
博士 哥伦比亚大学教育学院
报告时间:
2019-10-18 15:30
报告地点:
文南楼407
主办单位:
教育研究院
  简介:

主讲人简介:

Yilin Pan is a quantitative researcher specialized in impact evaluation, cost-effectiveness and cost-utility analysis, decision-making in resource allocation and Bayesian statistics. Yilin's research aims to facilitate the utilization of research evidence to better guide policymakers and practitioners' decision-making about resource allocation. Yilin earned a B.A. in English Literature and Linguistics and a M.A. in Higher Education at Tsinghua University, P. R. China, and a Ph.D. in Economics and Education at Teachers College, Columbia University, U.S.A. In 2017-2019, she worked as a post-doctoral researcher jointly hired by the Department of Educational Policy and Social Analysis and the Department of Organization Leadership at Teachers College, Columbia University, U.S.A.  She is going to join World Bank's education sector as an economist. 


讲座内容:

Given the importance of education and the growing public demand for improving education quality under tight budget constraints, there has been an emerging movement to call for evidence-based decision-making in educational resource allocation at the school- and district- level in the U.S., which leads to an abundance of rigorous studies on the effectiveness, cost, and their trade-off of educational interventions.


This lecture provides a brief introduction on impact evaluation and three types of economic evaluation (i.e., cost-effectiveness analysis, cost-benefit analysis and cost-utility analysis), and discusses how to apply these methods to inform decision-making on resource allocation in schools and districts with real empirical examples.

今日相关信息
TensorAlloy: 高效易用的机器学习合金立...
 
同类别相关信息
健康中国大讲堂:构建优质高效的整合型卫...
卫健学术沙龙:疾病负担研究方法及应用
卫健学术沙龙:流感和新冠防控的相同与不...
卫健学术沙龙:饮用水与健康的现在与未来
卫健学术沙龙:中国环境健康问题与应对
学术活动