3 results on '"Prola, Thomas André"'
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2. Re-adaptation of an instrument for the evaluation of virtual learning environments in the european inclusive education project called LOVEDISTANCE
- Author
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Soriano Flores, Emmanuel, Prola, Thomas André, Rodríguez Velasco, Carmen Lili, Garat de Marin, Mirtha Silvana, Soriano Flores, Emmanuel, Prola, Thomas André, Rodríguez Velasco, Carmen Lili, and Garat de Marin, Mirtha Silvana
- Abstract
The purpose of this research was to evaluate the use of a Virtual Learning Environments (VLEs) evaluation instrument, specifically the DELES (Distance Education Learning Environments Survey) for the European Inclusive Education Project called "LOVEDISTANCE" (Learning Optimization and Academic Inclusion Via Equitable Distance Teaching and Learning). The initial assumption is that the instrument may be useful, but it is outdated and not necessarily focused on the objectives of the LOVEDISTANCE project, in particular that of Inclusive Education. The academic exercise was carried out at Levinsky University, in Tel Aviv, Israel, and the analysis of the information was done with a quantitative- qualitative approach, where in a first part the measure of consensus among experts was used to measure the statistical reliability of the experts' answers, and then an analysis of variance (ANOVA) was performed to determine if there were significant differences between the groups' means; subsequently, a detailed qualitative analysis of the observations was carried out based on three axes of analysis: considerations of the research exercise, profile of the researchers, and analysis of each scale of the instrument. Some of the most relevant conclusions were that the instrument is, for the most part, useful for the purposes of the LOVEDISTANCE project, but it needs improvement with regard to the following scales: relevance of learning to the learner, instructor support, and measurement of learner autonomy., Esta investigación tuvo por objetivo valorar la utilización de un Instrumento para la evaluación de Entornos Virtuales de Aprendizaje (EVA), específicamente el DELES (Distance Education Learning Environments Survey) para el Proyecto Europeo de Educación Inclusiva denominado LOVEDISTANCE (Learning Optimization and Academic Inclusion Via Equitative Distance Teaching and Learning). El supuesto inicial es que el instrumento puede ser útil, pero está desactualizado y no necesariamente enfocado a los objetivos del proyecto LOVEDISTANCE, en particular al de Educación Inclusiva. El ejercicio académico se llevó a cabo en la Universidad de Levinsky, en Tel Aviv, Israel, y el análisis de la información se hizo con un enfoque cuanti-cualitativo, donde se utilizó, en una primera parte, la medida del consenso entre expertos para medir la fiabilidad estadística de las respuestas de los expertos, y después se realizó un análisis de la varianza (ANOVA) para determinar si existían diferencias significativas entre las medias de los grupos; posteriormente, se hizo un análisis cualitativo pormenorizado de las observaciones a partir de tres ejes de análisis: consideraciones del ejercicio investigativo, perfil de los investigadores y análisis de cada escala del instrumento. Algunas de las conclusiones más relevantes fueron que el instrumento es, en su mayoría, útil para los propósitos del proyecto LOVEDISTANCE, pero precisa mejoras en lo referido a las siguientes escalas: relevancia del aprendizaje para el alumno, apoyo por parte del instructor y la medición en la autonomía del estudiante.
- Published
- 2024
3. Federated Learning on Internet of Things: Extensive and Systematic Review.
- Author
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Aggarwal, Meenakshi, Khullar, Vikas, Rani, Sunita, Prola, Thomas André, Bhattacharjee, Shyama Barna, Shawon, Sarowar Morshed, and Goyal, Nitin
- Abstract
The proliferation of IoT devices requires innovative approaches to gaining insights while preserving privacy and resources amid unprecedented data generation. However, FL development for IoT is still in its infancy and needs to be explored in various areas to understand the key challenges for deployment in real-world scenarios. The paper systematically reviewed the available literature using the PRISMA guiding principle. The study aims to provide a detailed overview of the increasing use of FL in IoT networks, including the architecture and challenges. A systematic review approach is used to collect, categorize and analyze FL-IoT-based articles.Asearch was performed in the IEEE, Elsevier, Arxiv, ACM, and WOS databases and 92 articles were finally examined. Inclusion measures were published in English and with the keywords "FL" and "IoT". The methodology begins with an overview of recent advances in FL and the IoT, followed by a discussion of how these two technologies can be integrated. To be more specific, we examine and evaluate the capabilities of FL by talking about communication protocols, frameworks and architecture. We then present a comprehensive analysis of the use of FL in a number of key IoT applications, including smart healthcare, smart transportation, smart cities, smart industry, smart finance, and smart agriculture. The key findings from this analysis of FL IoT services and applications are also presented. Finally, we performed a comparative analysis with FL IID (independent and identical data) and non-ID, traditional centralized deep learning (DL) approaches. We concluded that FL has better performance, especially in terms of privacy protection and resource utilization. FL is excellent for preserving privacy becausemodel training takes place on individual devices or edge nodes, eliminating the need for centralized data aggregation, which poses significant privacy risks. To facilitate development in this rapidly evolving field, the insights presented are intended to help practitioners and researchers navigate the complex terrain of FL and IoT. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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