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Engagement Strategies for Digital Literacy to Support the Brazilian e-SUS Primary Care System
Gabriel Lebeis1, Zilma Reis1, Isaías Oliveira1
1Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Abstract:
Massive Open Online Courses (MOOCs) offer scalable solutions for professional training but face challenges such as high dropout rates and low completion rates. This study explores engagement strategies in the Educa e-SUS APS platform, a MOOC designed for Brazilian Primary Health Care professionals. Key interventions included gamification, audiovisual resources, and personalized re-engagement messages supported by a Large Language Model (LLM). LLM-driven strategies addressed dropouts by crafting tailored messages, achieving a re-engagement rate exceeding 12%. Results showed improved completion rates compared to global MOOC averages, underscoring the effectiveness of integrating modern pedagogical approaches and personalized communication. These findings highlight the potential of MOOCs, supported by AI, to enhance learner retention and advance digital education in public health systems.
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