In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous works is that input images are processed in three spatial scales along different processing pathways. This mechanism is inspired in the inherent operation of the Human Visual System. The proposed neural model can analyze MRI images containing three types of tumors: meningioma, glioma, and pituitary tumor, over sagittal, coronal, and axial views and does not need preprocessing of input images to remove skull or vertebral column parts in advance. The performance of our method on a publicly available MRI image dataset of 3064 slices from 233 patients is compared with previously classical machine learning and deep learning published methods. In the comparison, our method remarkably obtained a tumor classification accuracy of 0.973, higher than the other approaches using the same database.

Technology enables a more sustainable and universally accessible educational model. However, technology has brought a paradox into students’ lives: it helps them engage in learning activities, but it is also a source of distraction. During the academic year 2021–2022, the authors conducted a study focusing on classroom distractions. One of the objectives was to identify the main digital distractions from the point of view of students. The study was carried out at an engineering school, where technology is fully integrated in the classroom and in the academic routines of teachers and students. Discussions and surveys, complemented by a statistical study based on bivariate correlations, were used with participating students (n = 105). Students considered digital distractions to have a significant impact on their performance in lab sessions. This performance was mainly self-assessed as improvable. Contrary to other contemporary research, the results were not influenced by the year of study of the subject, as the issue is important regardless of the students’ backgrounds. Professors should implement strategies to raise students’ awareness of the significant negative effects of digital distractions on their performance, as well as to develop students’ self-control skills. This is of vital importance for the use of technology to be sustainable in the long-term.

This article presents a Virtual Reality Serious Game that allows the user to increase the knowledge about the city of Valladolid in Spain. With this goal, the Main Square and some of the historic buildings in the downtown have been virtually recreated. We have taken advantage of the characteristic tiled floor of the town hall square to represent a game board. Different tiled floors are squares which hide questions behind. The user plays using a Natural User Interface based on Microsoft® Kinect

This article introduces a new Serious Game with Augmented Reality for children and handicapped people. A platform based on a zoo has been virtually created. With this application, the users can increase their knowledge about a specific topic, in this case, animals. We have designed several 3D elements according to the theme, including a main scene that leads to the different scenes contained in the game. The user can interact with those elements and scenes through the mobile phone, thanks to the touch screen