Estimating quantiles of an outcome conditional on covariates is of fundamental interest in statistics with broad application in probabilistic prediction and forecasting. We propose an ensemble method for conditional quantile estimation, Quantile Super Learning, that combines predictions from multiple candidate algorithms based on their empirical pe...
This thesis is dedicated to the study of the dynamics of multiagent systems with learning agents. This is formalized as online learning in stochastic games.Online learning is a field in mathematics and computer science that examines how to optimize a utility or loss function while interacting in an environment. It is typically supposed that interac...
Published in Research square
The COVID-19 pandemic and its restrictions increased the adoption of online learning even in low-income countries. The adoption of online teaching methods may have affected teaching and learning, particularly in settings where it was used for the first time. This study was conducted to explore the perceptions of medical and nursing students regardi...
[ES] El objetivo de este estudio es estudiar la percepción que tienen los estudiantes de la UPV de los tres tipos de docencia (presencial, semipresencial, online) para la situación pre y postpandemia Covid-19. La metodología que se empleará será la realización de una encuesta entre alumnos del Campus de Vera en Valencia. La utilidad de este TFG es ...
Online Class Incremental Learning (OCIL) aims to learn new classes from a data stream where samples arrive in batches, one after the other. Avoiding catastrophic forgetting, the phenomenon of forgetting old classes when learning new ones is the main challenge in OCIL. Replay-based methods counteract catastrophic forgetting by storing around 10% of ...
Published in European Journal of Open, Distance and E-Learning
This study explored how online students perceived their instructors’ emotional intelligence (EI) and its impact on their learning engagement. Using eight EI behaviours of online instructors and a learning engagement instrument, 100 online university students were surveyed regarding their observation of those EI behaviours and their learning engagem...
Statistical literacy is necessary for evidence-based public health practice. However, introductory statistics courses can be challenging and stressful for continuing education students. The Master of Public Health program at the University of Bordeaux offers an international open and distance learning program to address the increasing demand for pu...
Published in British journal of nursing (Mark Allen Publishing)
The Nursing and Midwifery Council recognises that using simulated practice learning within the pre-registration nursing curriculum is a valuable way for students to develop nursing knowledge and skills. The University of Huddersfield developed simulated placements in the pre-registration nursing curriculum in 2021. Simulated placements are now embe...
[ES] La andragogía proporciona un marco teórico para comprender las características de los estudiantes adultos, sin embargo, existe un vacío empírico en cuanto a la validez de sus principios, así como, su actualización a la universidad en línea del siglo xxi. El presente estudio tiene dos objetivos específicos: 1) conocer en qué medida los estudi...
Continual learning is an increasingly studied field, aiming at regulating catastrophic forgetting for online machine learning tasks. In this article, we propose a prediction error measure for continual learning,to detect concept drift induced from learned data input before the learning step. In addition, we check this measure’s ability for characte...
