Paulo Alonso Gaona García

TL;DR: A usability study to analyse user interfaces for search and collection visualisation and navigation from a usability perspective to offer repository owners a scientific basis to support their decisions when they have to choose an interface that can really help users to effectively locate and visualise resources over large digital collections.

TL;DR: A learning analytics scheme based on the density-based spatial clustering of applications with noise algorithm as a clustering technique with time series analysis, using the brain- computer interface device, Emotiv EPOC, as a way to collect emotional metrics.

TL;DR: In this paper, a modelado especifico de dominio for the construccion of modulos in sistemas de gestion del aprendizaje (LMS) independientes de la plataforma is presented.

TL;DR: This research has the purpose of establishing a model of a CNN for the classification of geometric figures by optimizing hyperparameters using Random Search, and concluding that the selected CNN model increased its performance by applying color–space segmentation in a phase that was prior to the prediction, given the nature of multiple pigmentation of the AR-Sandbox.

TL;DR: This work seeks to make a comparison between Open Source LMS to get a first approximation of common modules them, and then start building the ontology compatible with all LMS studied, for that reason this paper is organized as follows.