Educational Resource Recommender Systems Using Python and Moodle

Vera, Alicia Andrade; González, Carlos Mendoza

doi:10.1007/978-3-031-10542-5_2

Cited by 1 publication

(2 citation statements)

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“…This solution uses the YouTube Google's API, which allows this YouTube-specific functionality to be integrated into another website or application. To interact with the API, an authentication ID has to be obtained through the Google Developers Console available at https://console.developers.google.com/ [19]. There are three types of credentials available.…”

Section: B Video Extractionmentioning

confidence: 99%

“…in order to use these resources, it is necessary to complete the prerequisite methods. In the present work, the list method was used, which returns a set of search results matching the query parameters specified in the API request [19,20]. By default, the search result set identifies videos, channels, and corresponding playlist assets.…”

Section: B Video Extractionmentioning

confidence: 99%

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Educational Video Recommender System

Timmi

2024

IJIET

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In recent years, informal education has witnessed a significant upsurge, fueled by technological advancements and the ubiquitous availability of online educational content. Internet users, including students, researchers, and teachers, are increasingly seeking supplementary educational resources across diverse online repositories to augment their knowledge. Within this landscape, recommendation systems emerge as indispensable tools, aiding users in the discovery of pertinent resources aligned with their academic interests. This article proposes a novel recommendation methodology leveraging a hybrid approach, incorporating both Content-Based Filtering (CBF) and Collaborative Filtering (CF) algorithms. By harnessing information from a myriad of data repositories, this system excels in identifying and presenting the most relevant and desirable educational resources, with a particular focus on meeting the needs of students. This holistic approach embraces user profiles, contextual information, and supplementary data, underscoring its potential to revolutionize informal education in the digital age.

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Section: B Video Extractionmentioning

confidence: 99%

Section: B Video Extractionmentioning

confidence: 99%