DEVELOPMENT OF AN EDUCATIONAL MOBILE APPLICATION WITH INTELLIGENT AUTOMATION FOR MATHEMATICS TEACHING: INTEGRATION OF FLUTTER, N8N AND OPEN SOURCE AI

Ayala C.J.L.; Palacios L.E.T.; Urcuhuaranga F.W.B.; Vidalon A.M.I. · Journal of Theoretical and Applied Information Technology (2026) · DOI: 10.5281/zenodo.19365615

Resumen

Design, develop and evaluate an educational mobile application that integrates Flutter, n8n and open source AI models (Router, Llama 2, Mistral) for automated mathematical assistance with teacher monitoring. Methods: A dual application was developed combining guided assistance and automatic resolution via AI, with automated notifications and reporting via n8n. Quasi-experimental evaluation with 180 students and 12 teachers over 12 weeks. Results: 87% adoption rate, average 23% improvement in mathematics grades, significant increase in self-efficacy (d=1.18), and 40% reduction in teacher time for diagnostic identification. AI models successfully processed 94% of mathematical queries (n=1,247 total queries). Conclusions: Intelligent automation with n8n and open source AI represents an effective innovation for personalizing mathematical learning and optimizing pedagogical monitoring. © Little Lion Scientific

Instituciones: Universidad Continental