K4A proposes a micro project to extend its existing prototype of the online learning platform X5LEARN (https://x5learn.org/) developed by K4A and UCL and JSI and its new IRCAI center under the auspices of UNESCO. It is a standalone, learner-facing web application designed to give access through an innovative interface to a portfolio of openly licensed educational resources (OER) in video and textual format. Designed for lifelong learners looking for specific content wanting to expand on their knowledge, our aim is to extend it to AI-related topics. The updated application will be released via IRCAI a newly designated AI center and integrated with AI4EU with heavy HumaneAI branding. The main reason to push the product with IRCAI is that UNESCO is positioning itself as the main UN agency to promote humanist Artificial Intelligence, a major international policy on the Ethics of AI, and champion OER, which is in line with HumaneAI.


System prototype version 1: The initial prototype of the X5LEARN system upgraded with a novel User Interface and initial TrueLearn models

System prototype version 2: The second prototype of the X5LEARN system that integrates into the AI4EU Platform

Final prototype version 2: The final X5LEARN prototype that integrates the final and updated TrueLearn models in both interfaces

X5LEARN System Expandability/Updateability database with additional OER materials

X5LEARN Public website branded with UNESCO and HumaneAI visuals

X5LEARN Integration Guidelines and API Reference Guide

Paper to be published in peer-reviewed journal


Project Partners:

  • Knowledge 4 All Foundation (K4A), Davor Orlic
  • University College London í(UCL), John Shawe-Taylor
  • Institut “Jožef Stefan” (JSI), Marko Grobelnik

Primary Contact: Davor Orlic, Knowledge 4 All Foundation (K4A)

Results Description

Under this microproject, a series of extensions to the X5Learn platform was added. A new user friendly user interface was developed and deployed. X5Learn, being an intelligent learning platform, a series of human-centric AI technologies that enable educational recommendation, intelligent previewing of information and scalable question generation that can help different stakeholders such as teachers and learners were developed backed by scientific research. The results have been published in peer reviewed conferences such as AAAI, AIED and CHIIR and also published in the Journal of Sustainability. The new earning platform is now available to the public including a python library that implements the recommendation algorithms developed.


Maria Pérez Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, and Emine Yilmaz. 2022. Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? In Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22). Association for Computing Machinery, New York, NY, USA, 90–101. https://doi.org/10.1145/3498366.3505814

Maria Perez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, and John Shawe-Taylor. 2021. X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. In 26th International Conference on Intelligent User Interfaces – Companion (IUI '21 Companion). Association for Computing Machinery, New York, NY, USA, 70–74. https://doi.org/10.1145/3397482.3450721

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, and John Shawe-Taylor. 2022. Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources. Sustainability 14, 18: 11682. https://doi.org/10.3390/su141811682

Bulathwela, S., Pérez-Ortiz, M., Holloway, C., & Shawe-Taylor, J. (2021). Could ai democratise education? socio-technical imaginaries of an edtech revolution. arXiv preprint arXiv:2112.02034.

Links to Tangible results


X5Learn Demo Video: https://youtu.be/aXGL05kbzyg
Workshop presentation (AAAI'21): https://www.youtube.com/watch?v=gYtmL2XdxHg
Video: https://youtu.be/E11YUWad7Lw
Workshop Presentation (AAAI'21): https://youtu.be/4v-fizLvHwA

X5Learn Platform: https://x5learn.org/

TrueLearn Codebase: https://github.com/sahanbull/TrueLearn
TrueLearn Python library: https://truelearn.readthedocs.io