# An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All

arXiv: https://arxiv.org/abs/2112.01242 · HTML: https://mlsanity.com/paper/2112.01242/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 24 references that are in the map.
- First posted on arXiv 16 Nov 2021.

## Builds on (most cited first, 4 of 4)

- [TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources](https://mlsanity.com/paper/1911.09471/) (2019)
- [VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement](https://mlsanity.com/paper/2011.02273/) (2020)
- [Towards an Integrative Educational Recommender for Lifelong Learners](https://mlsanity.com/paper/1912.01592/) (2019)
- [Predicting Engagement in Video Lectures](https://mlsanity.com/paper/2006.00592/) (2020)

## Built on by (most cited first, 4 of 4)

- [Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution](https://mlsanity.com/paper/2112.02034/) (2021)
- [Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour](https://mlsanity.com/paper/2511.02599/) (2025)
- [Fostering Self-Directed Growth with Generative AI: Toward a New Learning Analytics Framework](https://mlsanity.com/paper/2504.20851/) (2025)
- [Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence](https://mlsanity.com/paper/2511.19580/) (2025)

## Abstract (arXiv)

Artifical Intelligence (AI) in Education has great potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of new ways of teaching and learning. We believe this is a crucial moment for setting the foundations of AI in education in the beginning of this Fourth Industrial Revolution. This report aims to synthesize how AI might change (and is already changing) how we learn, as well as what technological features are crucial for these AI systems in education, with the end goal of starting this pressing dialogue of how the future of AI in education should unfold, engaging policy makers, engineers, researchers and obviously, teachers and learners. This report also presents the advances within the X5GON project, a European H2020 project aimed at building and deploying a cross-modal, cross-lingual, cross-cultural, cross-domain and cross-site personalised learning platform for Open Educational Resources (OER).