EURO 2025 Leeds
Abstract Submission

3076. AI-Enhanced Educational Optimization in Resource-Constrained Environments: The Manko'o Digital Dreams Case Study

Invited abstract in session TB-23: OR for Socio-Humanitarian Development , stream OR for Societal Development.

Tuesday, 10:30-12:00
Room: Esther Simpson 3.01

Authors (first author is the speaker)

1. Aristide Toundzi Dzouankeu
Nzueke Foundation
2. Bruno Kamdem
Department of Business Management, SUNY Farmingdale State College, School of Business

Abstract

This paper introduces the ongoing Manko'o Digital Dreams Program (January–December 2025) in Cameroon, designed to leverage artificial intelligence (AI) to enhance academic performance and foster sustainable development in rural African communities. The program utilizes a robust mathematical framework incorporating reinforcement learning and K-Nearest Neighbors (KNN) algorithms to establish a scalable Learner Digital Twin System. Our methodology features a modified Q-learning algorithm, integrating reward functions that evaluate both academic achievements and community developmental impacts. Concurrently, the KNN model facilitates detailed student profiling, addressing diverse socioeconomic and educational backgrounds.
Preliminary outcomes from the project's initial phase indicate significant improvements in STEM competencies and digital literacy among students. Furthermore, we anticipate notable increases in academic performance, with decreased reliance on expensive infrastructure thanks to intelligent resource scheduling. Our comprehensive mathematical framework strategically connects AI-driven educational interventions with measurable sustainable development goals. This initiative establishes a sustainability-oriented parametric approach, optimizing educational outcomes and developmental benefits. We actively invite collaboration from researchers interested in contributing to this impactful endeavor.

Keywords

Status: accepted

Back to the list of papers