Federated Learning (FL) is an emerging machine learning paradigm that enables multiple parties to collaboratively train models without sharing raw data, ensuring data privacy. In Vertical FL (VFL), where each party holds ...

Introduction: Over the last two decades, research has suggested that academic and disciplinary literacies (ADLs) are key to integrating content and language, as language is used to express content knowledge, ...

This article critically review how academic literature on artificial intelligence (AI) in pri-mary education addresses the multiple dimensions of its impact on digital literacy moving beyond an instrumental understanding ...

Los centros de FP están inmersos en un rápido proceso de transformación digital; sin embargo, a pesar de la inversión realizada, no se han logrado los cambios esperados. Por lo tanto, este ...

Formative assessment, understood as part of the teaching-learning process, is a topic of growing interest in the field of Higher Education. This study analyzed the assessment process in a university Humanities program in ...

This thesis investigates how entrepreneurial students overcome resource constraints, examining the cognitive and behavioral mechanisms that enable them to extract value from limited resources, foster innovative behavior, ...

Este estudio investiga las percepciones del alumnado universitario de primer curso sobre la Inteligencia Artificial (IA) en la Facultad de Humanidades y Ciencias de la Educación de Mondragon Unibertsitatea para ...

Purpose This study aims to explore the main concerns and attitudes Basque adolescents have regarding online privacy. It analyzes their motivations for sharing private information and the kind of information they share. ...