A numerous amount of models supporting automated provision of personalized recommendations to students have been developed lately.

Students usually receive recommendations based on outcomes of tests they have already taken. In this paper we explore methods from formal concept analysis for ...

Methods from formal concept analysis for predicting students' preferences with respect to learning objects going to be suggested to them before they have ...

This paper presents a recommender system for learning objects which uses a collaborative filtering mechanism based on competencies.

Oct 22, 2024 · The search for and recommendation of learning objects are usually viewed as a solitary and individual task. However, a collaborative search can ...

Jan 16, 2021 · The recommender module generates suitable recommendations to learners based on learning preferences ... prediction for each learning object ...

We propose a recommender system, which suggest multimedia learning material based on the learner's background preferences as well as the available hardware and ...

Aug 14, 2019 · In this paper a novel recommender algorithm for machine learning is proposed, which combines students actual rating with their learning styles to recommend ...

May 11, 2024 · Collaborative recommendations are based on suggesting items already liked by users who share similar preferences and interests. The ...

May 7, 2020 · The recommendation process is based on an argumentation-based approach that selects the learning objects that allow a greater number of ...