[TMP-133] X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI

Contact person: John Shawe-Taylor (j.shawe-taylor@ucl.ac.uk)

Internal Partners:

1. Knowledge 4 All Foundation, Davor Orlic, davor.orlic@gmail.com
2. University College London, John Shawe-Taylor, j.shawe-taylor@ucl.ac.uk
3. Institut Jožef Stefan, Davor Orlic and Marko Grobelnik, davor.orlic@gmail.com

K4A proposed a microproject 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.

Results Summary

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.

Tangible Outcomes

1. 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 
2. 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 
3. 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 
4. [arxiv] 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.https://arxiv.org/abs/2112.02034 
5.  X5Learn Platform: https://x5learn.org/ 
6.  TrueLearn Codebase: https://github.com/sahanbull/TrueLearn 
7.  TrueLearn Python library: https://truelearn.readthedocs.io 
8.  X5Learn Demo Video: https://youtu.be/aXGL05kbzyg 
9.  Longer lecture about the topic: https://youtu.be/E11YUWad7Lw 
10.  Workshop presentation (AAAI’21): https://www.youtube.com/watch?v=gYtmL2XdxHg 
11.  Workshop Presentation (AAAI’21): https://youtu.be/4v-fizLvHwA