Use of semantic enrichment for the Automatic Recommendation of video lectures in Moodle
DOI:
https://doi.org/10.5753/rbie.2020.28.0.319Keywords:
Automatic Recommendation, Indexing System, Video LecturesAbstract
Considering that videos are highly attractive to students and that it is possible to aggregate several information that identifies a video in a satisfactory way, a solution has been developed to carry out the automatic recommendation of educational videos to the teacher, who in turn can make them available to the students of a certain class, initially in the platform Moodle.The solution uses as a source a video previously processed, in order to obtain the main terms (indexing system) present in the audio of the video and the relationship (recommendation) of that video with the other of the repository. An experiment was carried out that confirmed the correctness and feasibility of use for the recommendation of educational videos in the Moodle platform.
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Copyright (c) 2020 Eduardo Barrére, Marluce Aparecida Vitor, Miguel Alvim de Almeida, Jairo Francisco Souza
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