RG-T3443 : Artificial Intelligence and Behavioral Insights in Education

The objective of the project is to incorporate artificial intelligence, machine learning, and behavioral insights to improve the efficiency of educational investments and parent and teacher decision-making in Chile, Ecuador, and Peru. First, we will develop a comprehensive diagnosis of the rules and actual practices determining student and teacher allocation across schools. Second, we will propose improvements to allocation rules and procedures based on our findings in the diagnostic phase, and we will assist governments to develop (or modify) allocation algorithms based on the proposed mechanisms. Third, we will develop Artificial Intelligence (AI) systems for student and teacher allocation. These allocation systems involve the development of platforms for student enrollment and teacher assignment; implementation of dashboard to monitor application process; design of interfaces for virtual assistants (ChatBots/APIs) based on artificial intelligence and machine learning algorithms; implementation of application systems for school (or school district) vacancies. Finally, will conduct an evaluation of the effectiveness of nudges and matching algorithms in improving equity and efficiency in the allocation of teachers and students across schools. We will also organize activities in the three countries to share the findings.