Good and Similar Learners’ Recommendation in Adaptive Learning Systems

Dade Nurjanah


Classic challenges in adaptive learning systems are about performing adaptive navigation that recommends a topic or concept to be learned next and learning materials relevant to the topic. Both recommendations have to meet active learners’ needs. As adaptive navigation problems have been solved using artificial intelligence techniques, learning material recommendation problems can be solved using recommender techniques that have been successfully applied to other problems. Until recently there have been a number of techniques that come with certain advantages and disadvantages. This paper proposes a new technique for recommending learning materials that combine content-based filtering and collaborative filtering based on the similarity between learners and learners’ competence. It aims to diminish the drawback of classic collaborative filtering, which is based on the similarities between learners and does not consider learners’ competence. It also diminishes problems arising from collaborative filtering based on good learners’ competence, which potentially produces recommended objects that do not meet the learners’ condition. The results of a recent experiment show that the proposed technique performs well, as indicated by the MAE score of 0.96 for a rating scale of 1 to 10.


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Paper Citation

in Harvard Style

Nurjanah D. (2016). Good and Similar Learners’ Recommendation in Adaptive Learning Systems . In Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-179-3, pages 434-440. DOI: 10.5220/0005864304340440

in Bibtex Style

author={Dade Nurjanah},
title={Good and Similar Learners’ Recommendation in Adaptive Learning Systems},
booktitle={Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,},

in EndNote Style

JO - Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Good and Similar Learners’ Recommendation in Adaptive Learning Systems
SN - 978-989-758-179-3
AU - Nurjanah D.
PY - 2016
SP - 434
EP - 440
DO - 10.5220/0005864304340440