Resumen de A Semi-supervised Method to Classify Educational Videos

Alexandru Stefan Stoica, Stella María Heras Barberá , Javier Palanca Cámara, Vicente J. Julián Inglada , Marian Cristian Mihaescu

• Currently, topic modelling has regained interest in the world of e-learning, where it is necessary to search through an extensive database of online learning objects, mainly in the form of educational videos. The main problem is the retrieval of those learning objects that are best suited to students’ keyword searches. Today this problem is still an open topic. According to this, this paper aims to provide a more sophisticated method to improve the search of educational videos and thus show those that best fit the learning objectives of students. To do this, a semi-supervised method to cluster and classify a large data-set of educational videos from the Universitat Polit`ecnica de Val`encia has been developed. The proposed method employs open content resources from Wikipedia as labelled data to train the model.