Bulathwela, Sahan;
Perez-Ortiz, Maria;
Yilmaz, Emine;
Shawe-Taylor, John;
(2022)
Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources.
Sustainability
, 14
(18)
, Article 11682. 10.3390/su141811682.
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Abstract
Educational recommenders have received much less attention in comparison with e-commerce- and entertainment-related recommenders, even though efficient intelligent tutors could have potential to improve learning gains and enable advances in education that are essential to achieving the world’s sustainability agenda. Through this work, we make foundational advances towards building a state-aware, integrative educational recommender. The proposed recommender accounts for the learners’ interests and knowledge at the same time as content novelty and popularity, with the end goal of improving predictions of learner engagement in a lifelong-learning educational video platform. Towards achieving this goal, we (i) formulate and evaluate multiple probabilistic graphical models to capture learner interest; (ii) identify and experiment with multiple probabilistic and ensemble approaches to combine interest, novelty, and knowledge representations together; and (iii) identify and experiment with different hybrid recommender approaches to fuse population-based engagement prediction to address the cold-start problem, i.e., the scarcity of data in the early stages of a user session, a common challenge in recommendation systems. Our experiments with an in-the-wild interaction dataset of more than 20,000 learners show clear performance advantages by integrating content popularity, learner interest, novelty, and knowledge aspects in an informational recommender system, while preserving scalability. Our recommendation system integrates a human-intuitive representation at its core, and we argue that this transparency will prove important in efforts to give agency to the learner in interacting, collaborating, and governing their own educational algorithms.
| Type: | Article |
|---|---|
| Title: | Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/su141811682 |
| Publisher version: | https://doi.org/10.3390/su141811682 |
| Language: | English |
| Additional information: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Green & Sustainable Science & Technology, Environmental Sciences, Environmental Studies, Science & Technology - Other Topics, Environmental Sciences & Ecology, open education, recommendation systems, lifelong e-learning, state-based learner modelling, Sustainable Development Goal 4, SOCIAL MEDIA, INTERESTS, STUDENTS, SYSTEMS |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10157169 |
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