Are the effects of targeted instruction programs—such as Teaching at the Right Level or Computer Adaptive Learning (CAL) software—indeed driven by personalization? In partnership with an education assessment firm, researchers conducted a randomized evaluation to isolate the impact of computer-based individualized instruction in India. After nine months, lower-performing students in grades six to eight learned 22 percent of a standard deviation more in math if offered materials that matched their learning levels. For the average student, individualized instruction did not affect math learning. The results suggest that individualized instruction is most beneficial for low performers.

Researchers conducted a randomized evaluation in Zambia to test the impact of a peer-based information campaign, consisting of SMS messages and small cash incentives, on people’s adherence to Covid-19 health protocols. Participants forwarded public health SMSs when they were encouraged to do so, yet financial incentives did not increase the number of messages sent. Participants and their peers did not change their precautionary health behaviors.