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Text Mining extraction from videos in a learning environment through Educational Data Mining

Giovanni Filippo Caruso

Text Mining extraction from videos in a learning environment through Educational Data Mining.

Rel. Laura Farinetti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione, 2019

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Abstract:

The World Wide Web was born as a place for everyone and for sharing contents, according to the “Hacker Ethics”. During the past years access to Internet and related technologies improved, developing new challenges in society. According to these times new computer sciences raised such as Data Mining and Big Data. As the society changes, learning changes as well. Computer sciences created new ways of learning more focused on the single user and his own possibilities and problems. Following this path some general computer sciences as Data Mining become specilized in Education. Educational Data Mining (EDM) is a science which studies data generated from educational environments. It’s safe to say that YouTube is one of the oldest reasons why Internet spreaded between people. Entertainment and connection between people were and still are the main goals of the company. Right now, YouTube is a big videos container of knowledge of each kind and, most importantly, is a free tool for learning. Discovering useful contents through the Web is a valid support for teachers and students for improving their teaching and learning skills. The technlogies and methods provided by EDM and Text Mining can help through a deep research on meaningful information for support the people involved in the educational environment. The reseach questions behind the study is: how good can we evaluate amatuer materials on the web, such as a Youtube’s tutorial, compairing it to validate material given by experts and how can we avoid not useful data?

Relators: Laura Farinetti
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 67
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Ente in cotutela: University of Education Weingarten (GERMANIA)
Aziende collaboratrici: SIVE SpA
URI: http://webthesis.biblio.polito.it/id/eprint/10865
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