mlsanityData to 14 Oct 2026

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

arXiv 2112.01242 ↗First posted 16 Nov 2021cs.CY cs.AIcited by 4

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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).

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

4 of 24 references.

References · 4

  1. 2019TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resourcescited by 18
  2. 2020VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagementcited by 8
  3. 2019Towards an Integrative Educational Recommender for Lifelong Learnerscited by 6
  4. 2020Predicting Engagement in Video Lecturescited by 5

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 3.

4 papers.