Ultra-concurrent Remote Labs Builder
Description: A web-based platform that enables the transformation of real-time remote labs into ultra-concurrent remote labs. The platform allows educators to create scalable remote laboratory experiences using pre-recorded experiments, dynamic parameter selection, and interactive assessment activities, removing the need for exclusive time-slot access.
Authors: Andres Gamboa, Boris Pedraza, Alex Villazón, Omar Ormachea (Universidad Privada Boliviana – UPB, Bolivia)
Related publication: Andrés Gamboa, Boris Pedraza, Alex Villazón, and Omar Ormachea. Turning Real-Time Remote Labs into Ultra-Concurrent Remote Labs. STE 2025 Conference.
Open source github repo: https://github.com/EU-BEGP/ultra-concurrent-remote-lab
QIP AI Evaluator
Description: An automated evaluation system for digital learning modules hosted on the Learnify platform based on Artificial Intelligence.
The solution is designed to support quality improvement processes by assessing educational content against standardized academic rubrics using AI. It enables institutions and educators to evaluate learning modules in a systematic, consistent, and scalable manner, significantly reducing manual review effort while ensuring pedagogical rigor.
Authors: Santiago Almancy, Sebastiían Itamari, Frederick Balderrama, Alex Villazón (Universidad Privada Boliviana – UPB, Bolivia)
Open source github repo: https://github.com/EU-BEGP/qip-ai-evaluator
Street Lights Remote Lab
Description: hybrid remote lab combines real-time control and ultra-concurrent analysis to enhance lighting engineering education. Students can: Control a real street light (adjust intensity, capture sensor data, visualize light distribution). Monitor a campus street lighting network to validate compliance with standards. Analyze pre-recorded datasets for different lighting scenarios. Built with ESP32 microcontrollers, MQTT communication, and a web-based interface, the lab connects theory with hands-on practice. Integrated with Book4RLab, it allows easy slot booking for real-time experiments.
Authors: Boris Pedraza, Alfredo Meneses, Alex Villazón, Omar Ormachea (Universidad Privada Boliviana – UPB, Bolivia)
Open source github repo: https://github.com/EU-BEGP/street-light-remote-lab
