Abstract:

Integrating educational analytics into digital environments aimed at the protection and education of minors represents an urgent challenge for both research and pedagogical practice. In platforms focused on teaching about rights, justice, and violence prevention, having rigorous mechanisms to understand how users interact, what they learn, and how their cognitive processes evolve is essential to ensuring safe and effective learning experiences. Within this context, the present proposal focused on the design and implementation of a specialized user tracking system to strengthen the educational impact of the Tribunales Amigables platform.

Tribunales Amigables is an educational tool developed in Yucatan, Mexico to help children understand concepts related to justice, rights, and violence prevention through interactive activities. However, it currently lacks mechanisms to analyze how the platform is used, what learners understand, how they navigate, or how their performance evolves. This absence of metrics limits the assessment of the tool’s pedagogical effectiveness and constrains the timely identification of learning difficulties or potential risk indicators.

This proposal introduces an architectural framework for Web User Tracking with an educational and privacy-centered approach, designed to obtain detailed metrics on minors' behavior within the platform. The system extends Open Web Analytics (OWA) with a custom framework that captures specific educational indicators (such as response times, errors, correct answers, and progress), while ensuring that all data are stored locally on the server to avoid exposure to third parties.

A functional prototype was developed and integrated into Tribunales Amigables, enabling the management of individual sessions, the collection of relevant activity data, and the generation of user evolution models. Initial tests with simulated data show that the system can successfully identify user histories, action sequences, response times, and their pedagogical significance. In addition, an educational dashboard was designed to support teachers, psychologists, and institutional staff in interpreting these metrics and making informed, data-driven decisions.

This work contributes to the field of educational analytics in sensitive environments by offering an ethical, self-hosted, and child-protection-compliant solution for user tracking. The proposed framework establishes the foundation for a robust web usage mining system capable of enhancing the platform’s pedagogical quality and strengthening violence prevention through the early detection of meaningful behavioral patterns.

Keywords:

Web User Tracking, Web Usage Mining, Learning Analytics, Child Protection, Violence Prevention, Digital Learning Platforms.