CRS4 TECHNOLOGY CATOLOGUE

RIALE EU

Remote Intelligent Access to Lab Experiments in Europe

Educational platform providing teachers and students with remote access to experiments conducted in technical and scientific laboratories at universities, research institutions, and schools

Background

The Education 4.0 model is a teaching approach designed to address the challenges of the Fourth Industrial Revolution, focusing on digitization, personalization, and skills development.

The model is based on: flexible and connected learning environments; integration of digital technologies (AI, AR/VR, IoT, robotics); active, student-centered teaching; data-driven personalization of learning paths; and the development of STEM and digital skills for the future.

In this scenario of an increasingly digital, connected, and personalized school system—integrated with technologies and the needs of the professional world and research—there is a growing need for innovative platforms to enable remote access to real scientific experiments; to support advanced data analysis (e.g., bioinformatics); to integrate educational and research environments; and to connect science labs, students, and digital content within a single ecosystem.

Thus, there is a growing need for solutions that make science learning more accessible, interactive, and personalized, bridging the gap between theory and practice.

What does the RIALE-EU platform offer?

RIALE-EU is a digital platform that provides remote access to laboratory experiments conducted at various European institutions.
The experiments cover a wide range of STEM disciplines, including biology, physics, chemistry, geology, bioengineering, genetics, and agricultural science.

The platform is primarily aimed at high school and university students, as well as teachers and researchers.

The goal is to facilitate understanding of the complexity of scientific experiments and their various stages, reducing geographical and logistical barriers to access and fostering motivation toward scientific disciplines.

The platform supports three modes of use:

Live sessions: synchronous connections with laboratories and researchers, fostering dialogue, active participation, and direct engagement with research
Timeline: structured and customizable instructional sequences of video content from the experiment for individual study, enriched with explanations, subtitles, and supporting materials
Hands-on Experiments: Activities focused on data interpretation, scientific reasoning, and independent inquiry-based learning.

Innovative features

Remote access to real-world science labs – provides remote access to scientific research labs where real-time experiments are conducted, geographically distributed across Europe
An interactive and dynamic approach that increases student engagement
IoT integration for real-time access to data or equipment (under development) – provides students with the ability to access lab data or operate equipment remotely
Multimodal educational experience – combines live sessions with researchers, asynchronous timelines, and independent hands-on experiences on a single platform
Specialized Educational AI Assistant—trained on the didactic and technical-scientific aspects of the disciplines involved and the experiments on the platform. Multilingual support is also provided for the creation of educational materials to support learning
Distributed Cloud Architecture for Remote Control—enables centralized remote control of PCs and equipment via web interfaces and the simultaneous management of hundreds of users and devices

Potential users

Students
Faculty and instructors
Researchers

Sectors impacted

Secondary schools (STEM subjects)
Universities and Research centers
Vocational training institutions and science outreach organizations

Economic and social value

Democratized access to science: real-world experiments available everywhere
Greater educational inclusion (reduction of geographic and economic barriers)
Advanced experiential learning: greater student engagement
Support for Education 4.0: integration of digital technologies and innovative teaching methods

Additional resources and information

Web platform: https://riale.ideab3.it/
Web site: https://www.crs4.it/riale/
Carole Salis, Davide Zedda, Federica Isidori, Roberto Cusano, Francesco Cabras, Marie Florence Wilson, Federico Cau & Lucio Davide Spano (2021). Multimodal Access to Scientific Experiments Through the RIALE Platform – Main Steps of Bioinformatics Analysis. In: Auer, M.E., Centea, D. (eds) Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing, vol 1314. Springer, Cham. https://doi.org/10.1007/978-3-030-67209-6_9
Saenz Cogollo, J. F., Monni, S. L., Lai, C., Lai, R., Carastro, M., & Salis, C. (2025). Empowering Remote Scientific Learning: AI-Driven Personalization and Assistance in the RIALE Platform. Zenodo. https://doi.org/10.5281/zenodo.15789457

Status

Type of innovation:
incremental, modular

Product type:
software – system in production

Emerging technologies adopted:
IoT; Cloud Computing; Artificial Intelligence – AI

Stage of technological development:
TRL 6-8

Limitations:
For the best experience, a broadband connection is required

Intellectual property characteristics:
proprietary code

Other partners:
No

Keywords

Highly Specialized Science Laboratories
STEM Subjects
Remote Access
Artificial Intelligence
IoT

Contacts

Carole Salis
– industrial collaborations
– pilot projects and demonstrators
– technology transfer (licensing)

For information: valorisation@crs4.it

Date

Last update: 25/03/2026