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RG-T3443 : Artificial Intelligence and Behavioral Insights in Education

Project Status: Implementation

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.

Project Detail

Project Number
RG-T3443
Approval date
June 17, 2019
Project Country
Regional
Project Sector
EDUCATION
Project Subsector
e-EDUCATION
Project Type
Technical Cooperation
Project Lending Type
SG
Project Modality
Project Facility Type
Environmental and social impact category
C
Project Status
Implementation
Operation Number
ATN/OC-17399-RG

Financial Information

Project Number
RG-T3443
Project Status
Implementation

IDB Financing

Financing type
TCN
Fund
Ordinary Capital
Reporting currency
USD - United States Dollar
Reporting date
Nov/25/2022

Roles & Responsibilities

Contract signature date
Jun/17/2019

Project Information

Total Cost
USD 310,180
Country counterpart financing
USD 0
Amount
USD 310,180

Preparation

Title
Type
Project Number
Date Published
TC Abstract
RG-T3443
May 16, 2019

Approved

Title
Type
Project Number
Date Published
TC Document
RG-T3443
June 17, 2019
TC Document
RG-T3443
June 17, 2019
TC Document
RG-T3443
June 17, 2019

Implementation

Title
Type
Project Number
Date Published
BEO Procurement
RG-T3443
January 17, 2020
BEO Procurement
RG-T3443
January 17, 2020