Personalised Adaptive Learning (PAL) in Andhra Pradesh Schools
Nobel laureate and economist Michael Kremer recommends policymakers to consider the use of Personalised Adaptive Learning (PAL) in schools based on evidence from Andhra Pradesh showing improved learning outcomes.
Key Findings from the Study
- PAL, implemented in 1,224 government schools in Andhra Pradesh, resulted in doubling the student learning rate.
- The most significant improvements were observed among students who were initially at the bottom of their class.
Functionality of PAL Software
- The software adapts learning materials and assessments to the student's current learning level.
- It helps students catch up to age-appropriate learning levels by meeting them where they are in their learning journey.
Implementation Insights
- Kremer emphasized the crucial role of teacher involvement in the success of PAL.
- Real-time engagement checks could be developed to alert teachers if students are disengaged.
- Smaller schools showed better access to devices, with more usage of the software leading to greater learning.
Considerations for Policymakers
- Additional hardware could enhance learning, depending on budget availability.
- Three separate evaluations in India show positive results, suggesting serious consideration of PAL.
- Policymakers should monitor and measure software usage to identify and address issues.
Broader Implications
- The program was targeted at students in Classes 6 to 9, but there is potential for implementation in younger grades.
- While Andhra Pradesh showed steep gains for bottom performers, a study in Rajasthan showed evenly distributed benefits.
Overall, the PAL model in Andhra Pradesh schools presents a promising method of personalized education that can be adapted to meet the individual needs of students, showing significant improvements in learning outcomes.
