ENVISAGE · Project

Authoring Tool That Turns Virtual Labs Into Adaptive Learning Experiences Using Game Analytics

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envisage-h2020.eu

Imagine you run an online lab where students practice chemistry or engineering remotely. Right now, every student gets the same experience — whether they're struggling or breezing through. ENVISAGE borrowed tricks from the video game industry, where companies track exactly how players behave to make games more engaging. They built a tool that lets educators create 3D virtual labs, then automatically watches how students interact and adjusts the difficulty and content to each learner's needs. Think of it as a "Netflix recommendation engine" but for virtual lab exercises.

By the numbers

EUR 1,035,250

EU funding for development

consortium partners

countries involved (DE, DK, EL, MT)

total deliverables produced

demo deliverables with working software

full development and evaluation cycles completed

The business problem

What needed solving

Creating effective virtual lab experiences for online education is expensive and technically demanding. Most virtual labs today are static — every student gets the same experience regardless of their skill level or learning pace. Educators lack accessible tools to build adaptive 3D lab environments that respond to individual learner behavior the way modern video games respond to player actions.

The solution

What was built

The team built a virtual labs authoring tool for creating 3D learning environments across desktop, console, mobile, and web platforms — refined over two development cycles. They also delivered machine learning-based predictive analytics that profile learners, segment them by behavior, and automatically adapt course content. Visualization dashboards provide instructors with actionable insight into student performance and engagement patterns.

Audience

Who needs this

EdTech companies building virtual training or simulation platformsUniversities expanding distance learning for STEM programsCorporate training providers needing adaptive skill assessmentLMS vendors looking to add virtual lab and analytics capabilitiesVocational training centers digitizing hands-on technical courses

Business applications

Who can put this to work

EdTech & E-Learning Platforms

SME

Target: Companies building online learning platforms or virtual training environments

If you are an e-learning platform provider struggling to keep learners engaged in virtual lab environments — this project developed an authoring tool for creating 3D virtual labs that integrates behavioral analytics and adaptive content delivery. The tool went through two full development cycles with evaluation phases, covering desktop, console, mobile, and web platforms. With 21 deliverables produced across 5 partners, the system is ready for integration into existing learning management systems.

Corporate Training & Workforce Development

mid-size

Target: Companies providing technical skills training for industrial or healthcare workers

If you are a corporate training provider dealing with one-size-fits-all virtual simulations that fail to address individual skill gaps — this project built machine learning algorithms that profile learners, predict their behavior, and automatically adapt course materials to individual needs. The predictive analytics component groups trainees into segments and personalizes their learning path. Built with EUR 1,035,250 in EU funding across 4 countries, the system was tested and refined over two evaluation cycles.

Higher Education & Distance Learning

enterprise

Target: Universities and technical colleges offering remote STEM programs

If you are a university struggling to deliver practical laboratory courses to distance students — this project created a complete virtual labs authoring environment where educators can design 3D lab experiences without deep programming skills. The tool includes visualization dashboards that give instructors real-time insight into how students are performing. With 3 university partners and 1 research center in the consortium, it was designed specifically for academic use cases and evaluated in educational settings.

Frequently asked

Quick answers

What would it cost to license or implement this technology?

The project had EUR 1,035,250 in EU funding as an Innovation Action. Licensing terms are not specified in the available project data. You would need to contact the coordinator (ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece) to discuss commercial licensing or partnership arrangements.

Can this scale to thousands of concurrent learners?

The authoring tool was developed for desktop, console, mobile, and web platforms, suggesting broad deployment capability. However, specific scalability benchmarks or concurrent user limits are not documented in the available deliverables. Based on available project data, the system went through two development cycles with optimization, but large-scale stress testing results are not publicly detailed.

Who owns the intellectual property and how can I license it?

The project was coordinated by ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH), a Greek national research center. IP ownership typically follows the EU Horizon 2020 grant agreement, where each partner owns the results they generate. Commercial licensing would need to be negotiated with the relevant consortium partners.

Does this integrate with existing Learning Management Systems?

The project built an authoring environment that generates virtual labs for multiple platforms including web. Based on available project data, the tool includes visualization and reporting components for learning data analysis. Integration specifics with platforms like Moodle or Canvas are not detailed in the deliverable descriptions, but the web-based output suggests compatibility potential.

What kind of analytics and reporting does it provide?

The system delivers two layers of analytics: shallow analytics that capture core behavioral patterns and provide visualization dashboards for course reports, and predictive analytics using machine learning that group learners into segments and forecast their future behavior. The visualization component was updated after evaluation to improve insight quality.

How long would implementation take?

The full development cycle ran from October 2016 to September 2018 across 5 partners. Based on available project data, the system went through two complete development and evaluation cycles. For an organization adopting the existing tool, implementation timelines would depend on customization needs, but the authoring tool is designed to be high-level and easy to use.

Is there regulatory compliance for educational data tracking?

The project tracks detailed learner behavioral data for profiling and prediction purposes. Based on available project data, specific GDPR or educational data privacy compliance measures are not detailed in the deliverable descriptions. Any commercial deployment would need to address data protection requirements, particularly given the EU context and learner profiling capabilities.

Consortium

Who built it

The ENVISAGE consortium of 5 partners across 4 countries (Germany, Denmark, Greece, Malta) is academically strong with 3 universities and 1 national research center, but has limited commercial muscle — only 1 industry partner (20% industry ratio) and 1 SME. The project was coordinated by CERTH, a major Greek research and technology center. For a business looking to adopt this technology, the academic-heavy consortium means the research quality is likely solid, but commercial packaging, support infrastructure, and go-to-market readiness may need development. A licensing or co-development partnership would be more realistic than buying an off-the-shelf product.

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISCoordinator · EL
UNIVERSITA TA MALTAparticipant · MT
AALBORG UNIVERSITETparticipant · DK
ELLINOGERMANIKI AGOGI SCHOLI PANAGEA SAVVA AEparticipant · EL

How to reach the team

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH), Greece — national research center. Contact through SciTransfer for a qualified introduction.

Order a report on this consortium See ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS profile →

Next steps

Talk to the team behind this work.

Want to explore licensing the ENVISAGE virtual lab authoring tool or its adaptive learning analytics? SciTransfer can arrange a direct introduction to the development team and help structure a commercial partnership.

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