Using a Hybrid Recommending System for Learning Videos in Flipped Classrooms and MOOCs

Jaume Jordán; Soledad Valero; Carlos Turró; Vicent Botti

doi:10.3390/electronics10111226

journal article Open Access May 21, 2021

Using a Hybrid Recommending System for Learning Videos in Flipped Classrooms and MOOCs

Jaume Jordán

Soledad Valero

Carlos Turró

Vicent Botti

Electronics Vol. 10 No. 11 pp. 1226 · MDPI AG

View at Publisher Save 10.3390/electronics10111226

Abstract

New challenges in education require new ways of education. Higher education has adapted to these new challenges by means of offering new types of training like massive online open courses and by updating their teaching methodology using novel approaches as flipped classrooms. These types of training have enabled universities to better adapt to the challenges posed by the pandemic. In addition, high quality learning objects are necessary for these new forms of education to be successful, with learning videos being the most common learning objects to provide theoretical concepts. This paper describes a new approach of a previously presented hybrid learning recommender system based on content-based techniques, which was capable of recommend useful videos to learners and lecturers from a learning video repository. In this new approach, the content-based techniques are also combined with a collaborative filtering module, which increases the probability of recommending relevant videos. This hybrid technique has been successfully applied to a real scenario in the central video repository of the Universitat Politècnica de València.

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References

Details

Published: May 21, 2021
Vol/Issue: 10(11)
Pages: 1226
License: View

Authors

J

Jaume Jordán

Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

S

Soledad Valero

Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

C

Carlos Turró

Área de Sistemas de Información y Comunicaciones, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

V

Vicent Botti

Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

Funding

Ministerio de Economía y Competitividad Award: RTI2018-095390-B-C31

Generalitat Valenciana Award: PROMETEO/2018/002

Cite This Article

Jaume Jordán, Soledad Valero, Carlos Turró, et al. (2021). Using a Hybrid Recommending System for Learning Videos in Flipped Classrooms and MOOCs. Electronics, 10(11), 1226. https://doi.org/10.3390/electronics10111226

Using a Hybrid Recommending System for Learning Videos in Flipped Classrooms and MOOCs

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