Research Projects

A Selection of Projects with Primary Data Collection

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Helping Students Learn at Home

Helping Students Learn at Home

I conduct a cluster-randomized trial to study the effectiveness of a large-scale effort to avert learning loss, and potential complementarities of home-based learning solutions with schools’ prior exposure to educational technology.

Learning by Doing?

Learning by Doing?

We conducted a cluster-randomized trial to study the effects of an innovative program in Karnataka, India, that promotes activity-based learning through teacher training, community engagement, and additional inputs.

Long-Term Impacts of Alternative Approaches to Increase Schooling

Long-Term Impacts of Alternative Approaches to Increase Schooling

This randomized trial investigates the long-term effects of a primary school scholarship program in rural Cambodia, nine years after program inception.

The Learning Lab

The Learning Lab

Using a computer-assisted learning software in India, we ran rapid-cycle randomized evaluations that shed light on the merits of intuitively appealing yet largely untested educational strategies.

Do Students Benefit from Blended Instruction?

Do Students Benefit from Blended Instruction?

This experimental study investigates the causal effect of a teacher capacity building program that promotes blended instruction, on student learning. It will be implemented in government schools in Haryana, India, in collaboration with a large, local NGO (“Avanti Fellows”). The program’s objective is to positively affect the instruction of mathematics and science, in grades nine and ten. The study hypothesizes that student learning improves if teachers are given resources and training, to enrich their instruction with video-based learning materials. Secondly, the study hypothesizes that the intervention’s cost-effectiveness outperforms that of an alternative model of teacher capacity building, which does not rely on infrastructure upgrades and uses printed workbooks only.

Changes – Mixed-methods evidence on determinants of shifts in teaching behaviors among Zambia’s public-school teachers

Changes – Mixed-methods evidence on determinants of shifts in teaching behaviors among Zambia’s public-school teachers

We conduct 78 in-depth interviews with education personnel in Zambia’s public schools and combine thematic coding with unsupervised machine learning to explore determinants of changes in teachers’ instructional practices.