Towards a Custom Designed Mechanism for Indexing and Retrieving Video Transcripts

Turcu, Gabriel; Heras, Stella; Palanca, Javier; Julián, Vicente; Mihăescu, Marian Cristian

doi:10.1007/978-3-030-29859-3_26

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…For example, in [17] a semi-supervised method is applied to cluster and classify the LOs of mediaUPV, obtaining specific keywords that represent each cluster. In [20], authors applied a custom approach for indexing and retrieving educational videos using their transcripts, which are available in mediaUPV. Videos are classified in different domains using the method described in [17].…”

Section: Related Workmentioning

confidence: 99%

Recommending Learning Videos for MOOCs and Flipped Classrooms

Jordán

Valero

Turró

et al. 2020

Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection

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New teaching approaches are emerging in higher education, such as flipped classrooms. In addition, academic institutions are offering new types of training like Massive Online Open Courses. Both of these new ways of education require high-quality learning objects for their success, with learning videos being the most common to provide theoretical concepts. This paper describes a hybrid learning recommender system based on content-based techniques, which is able to recommend useful videos to learners and teachers from a learning video repository. This hybrid technique has been successfully applied to a real scenario such as the central video repository of the Universitat Politècnica de València.

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Section: Related Workmentioning

confidence: 99%

Recommending Learning Videos for MOOCs and Flipped Classrooms

Jordán

Valero

Turró

et al. 2020

Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection

View full text Add to dashboard Cite

show abstract

“…For example, in [21] a semi-supervised method is applied to cluster and classify the LOs of mediaUPV, obtaining specific keywords that represent each cluster. In [22], authors applied a custom approach for indexing and retrieving educational videos using their transcripts, which are available in mediaUPV. Videos are classified in different domains using the method described in [21].…”

Section: Related Workmentioning

confidence: 99%

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

et al. 2021

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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.

show abstract

Towards a Custom Designed Mechanism for Indexing and Retrieving Video Transcripts

Cited by 2 publications

References 8 publications

Recommending Learning Videos for MOOCs and Flipped Classrooms

Recommending Learning Videos for MOOCs and Flipped Classrooms

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

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