Torddis reproducibility package (source code, data, documentation and analysis notebooks)

Reproducibility package accompanying the manuscript 'Torddis: A real-time IoT and AI-based system to support at-home learning and mitigate parental absenteeism' submitted to Education and Information Technologies (Springer Nature). Contains the complete source code of the Android mobile application (Java), the ESP32-CAM firmware (C/C++), the Django back-end and AI modules (Python), the pseudonymised experimental data collected from 12 guardians and their primary-school children (14 recognition-latency sessions and 12 SUS/Likert/open-ended questionnaires), the Jupyter notebooks that regenerate every statistical result reported in the manuscript, the data-collection instruments (SUS, demographic survey, Likert effectiveness questionnaire and open-ended questions) in Spanish and English, the requirements specification following ISO/IEC/IEEE 29148:2018, the architecture description following ISO/IEC/IEEE 42010:2022, the testing artefacts following ISO/IEC/IEEE 29119-1:2022 and the ethics documentation.