Title: Impact of multimedia in learning profiles

Authors: Ariel Zambrano; Daniela López De Luise

Addresses: CAETI Research Lab, UAI University, Buenos Aires, Argentina ' CI2S Labs, Francisco Acuña de Figueroa 146, 2nd FL, C1180AAB, Ciudad Autónoma de Buenos Aires, Argentina

Abstract: The present paper has as original contribution the definition of an automated model of the behaviour of a user against a certain type of images in a context of playful learning. Therefore, the entropy is used to classify profiles, starting from temporary information, which is mixed with certain characteristics previously extracted from the images. The aim of all this is to determine to what extent visual images trigger functions of comprehension and abstraction on topics of high degree complexity. Part of the obtained model is intended to generate learning profiles, which will enrich in the future with other non-invasive device, and to observe the behaviour of the user. For example: cameras, monitory keyboard, mouse and among others. The profiles are discovered and described with the minimum information needed. The collected information is processed with bio inspired techniques, which are essentially bases on 'deep learning' concept.

Keywords: audiovisual techniques; engineering teaching; video games; learning model; deep learning; multimedia; data mining.

DOI: 10.1504/IJAIP.2023.128072

International Journal of Advanced Intelligence Paradigms, 2023 Vol.24 No.1/2, pp.12 - 37

Received: 30 Sep 2017
Accepted: 17 Nov 2017
Published online: 05 Jan 2023 *