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| 1 | +# EKEEL — Empowering Knowledge Extraction to Empower Learners |
| 2 | + |
| 3 | +**EKEEL** is a research project funded under **PRIN 2022 PNRR** (National Research Program), aimed at developing advanced technologies for **autonomous knowledge extraction from video lectures** and leveraging this knowledge for **reusable educational support services**. ([ekeel.dibris.unige.it](https://ekeel.dibris.unige.it/)) |
| 4 | + |
| 5 | +--- |
| 6 | + |
| 7 | +## Funding and Program |
| 8 | + |
| 9 | +- **Funding Program:** PRIN 2022 PNRR – P20227PEPK |
| 10 | +- **Grant:** CUP B53D23026030001 |
| 11 | +- **Project Period:** December 2023 – February 2026 |
| 12 | +- **Funding Bodies:** Italian Ministry of University and Research (MUR) - NextGenerationUE |
| 13 | + |
| 14 | +--- |
| 15 | + |
| 16 | +## Project Overview |
| 17 | + |
| 18 | +The project focuses on: |
| 19 | + |
| 20 | +- Using **Artificial Intelligence (AI)** and **Natural Language Processing (NLP)** techniques to automatically understand the content of video lectures. |
| 21 | +- Extracting key concepts and **prerequisite relationships** between them to build an **educational Knowledge Graph**. |
| 22 | +- Providing structured information that can be reused in educational services and learning tools. |
| 23 | + |
| 24 | +The approach integrates **deep learning models, text, image, and video analysis** to represent the dynamics of concepts presented in lectures. |
| 25 | + |
| 26 | +--- |
| 27 | + |
| 28 | +## Main Objectives |
| 29 | + |
| 30 | +- **Extract meaningful knowledge from video-based educational content.** |
| 31 | +- **Build representations of concepts and prerequisite relations** for personalized learning. |
| 32 | +- **Support high-performing digital education ecosystems**, in line with the Digital Education Action Plan 2021–27. |
| 33 | + |
| 34 | +--- |
| 35 | + |
| 36 | + |
| 37 | +## Partners and Team |
| 38 | + |
| 39 | +The project is coordinated by the **University of Genoa – DIBRIS**, with the contribution of researchers and project staff. |
| 40 | + |
| 41 | +Key personnel include: |
| 42 | + |
| 43 | +- Project Coordinator: **Ilaria Torre** (University of Genoa) |
| 44 | +- Scientific Lead (CNR‑ILC): **Felice Dell’Orletta** |
| 45 | + |
| 46 | +--- |
| 47 | + |
| 48 | +## Repository Organization |
| 49 | + |
| 50 | +This GitHub account hosts repositories related to EKEEL’s software components, models, datasets, and documentation |
| 51 | + |
| 52 | + |
| 53 | + |
| 54 | +--- |
| 55 | + |
| 56 | +## Useful Resources |
| 57 | + |
| 58 | +- Project website: [https://ekeel.dibris.unige.it/](https://ekeel.dibris.unige.it/) |
| 59 | +- DIBRIS – University of Genoa: [https://dibris.unige.it/](https://dibris.unige.it/) |
| 60 | + |
| 61 | + |
| 62 | + |
| 63 | + |
| 64 | +## Acknowledgements |
| 65 | + |
| 66 | +This project is carried out with the support of the **Italian Ministry of University and Research (MUR)** and the **European Union**. |
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