Outputs

Resources & Deliverables

Key outputs, milestones, and open educational resources across the 36-month project lifecycle. This page is updated as outputs become available.

⚙️

Project underway — results being generated

Ai-LEARN started in October 2025. Key results from the first reporting period will be published here as they become available. Expected first outputs include the items listed below.

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Ai-LEARN AI Toolbox Suite of TensorFlow/Keras models for flood forecasting, groundwater infilling, and drought assessment
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Educational LLM Integration Framework Prompting protocols, instructor guides, and student interaction templates for AI-assisted learning
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AURA-Learn Teaching Framework Three-agent pedagogical system: student guide, teacher assistant, and independent evaluator
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WaterTech Learning Portal Internationally accessible virtual learning environment with multilingual course materials
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3 Case Study Datasets & Analysis Greek islands groundwater, Iberian hydrology, and Latin American watershed flood forecasting
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6+ Co-authored Publications High-impact journal articles on AI for environmental education and water science
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Open Educational Resources All learning materials freely available under open licences for the global academic community

Are you involved in the project and have results to report? Get in touch to update this section.

Timeline

Deliverables & Milestones

Key outputs and reporting dates across the 36-month project lifecycle.

2025
October 2025
Project Start · Case Study Implementation Begins
WP1 kicks off. Activity 2.1 (AI Model Development) and 2.3 (Case Study Technical Implementation — Spain) launched.
WP1WP2
November 2025
Partnership Agreement Signed
Formal Consortium Agreement between IHE Delft, UPV/EHU, and TUC, detailing governance, IP management, and financial arrangements.
WP1
2026
February 2026
Case Study Technical Implementation Complete
Technical toolkits for three environmental case studies delivered: integrated data pipelines, interactive visualisations, and analytical tools.
WP2
January – August 2026
Learning Experience Design
Structured, project-based learning modules designed with progressive learning paths, assessment frameworks, and instructor/student guides.
WP2
January 2026 – February 2027
Educational LLM Integration Framework
A robust LLM integration framework providing optimised prompting techniques, instructor guides, and AI-assisted learning experiences for environmental case studies.
WP2
June 2026
User Testing Cycle 1
First structured user testing of AI tools and educational modules. Results inform iterative platform refinement.
WP2WP5
October 2026
🏁 Progress Report — Period 1
First formal reporting period ends (Oct 2025 – Sep 2026). Progress Report submitted to Erasmus+ National Agency.
WP1
2027
February 2027
User Testing Cycle 2
Second user testing round with diverse participant groups across partner institutions to validate the improved platform version.
WP2WP5
June 2027
Educational Impact Report
Comprehensive assessment of educational effectiveness: pre/post test results, learning analytics, satisfaction surveys, and benchmarking against targets.
WP5
October 2027
🏁 Periodic Report — Period 2 · Collaboration Assessment
Second reporting period (Oct 2026 – Sep 2027). Periodic Report submitted. Collaboration Assessment Report documents cross-disciplinary outputs and co-publications.
WP1WP5
2028
February 2028
Capacity Building Impact Assessment
Evaluation of skills transfer: professionals trained, workshops run by alumni, new courses integrating project methodologies (min. 3 new course integrations).
WP5
September 2028
Project End · All Outputs Published
WaterTech Learning Portal live. Full AI toolbox released as Open Educational Resources. Summer school and MOOC materials available globally.
WP3WP4
November 2028
🏁 Final Report Submitted
Final reporting period (Oct 2027 – Sep 2028). Final Report submitted 60 days after project end.
WP1