Articles producció científicaPedagogia

Professional Development Analytics: A Smart Model for Industry 5.0

  • Datos identificativos

    Identificador:  imarina:9448936
    Autores:  Tusquellas, N; Santiago, R; Palau, R
    Resumen:
    This paper presents a novel AI-driven conceptual smart model designed to help organizations enhance workforce professional development by upskilling and reskilling employees while fostering job satisfaction and staying competitive in their markets; this novel model is called Professional Development Analytics (PDA). The model's main focus is to provide a new design model that concentrates on how artificial intelligence (AI) can optimize personalized training and how it can improve employees' technical and soft skills, enabling companies to create their talent map at the same time. By compiling personnel data and their roles within the company, AI is able to create detailed and personalized profiles. In the next stage, this information is classified, analyzed, and used to enhance current skills while also predicting future training needs. These processes result in the creation of personalized learning paths, where AI recommends customized courses tailored to each employee's unique needs. The system will be automatically fed and adjusted by means of the gathered data and continuous feedback from the employees and their supervisors. The proposed AI tools are powered by machine learning, deep learning, natural language processing, generative AI and data analytics. Our model aims to support learning and development departments by delivering precise, personalized training solutions that address employees' unique needs, enabling skill development and professional growth through an automated and customized process.
  • Otros:

    Enlace a la fuente original: https://www.mdpi.com/2076-3417/15/4/2057
    Referencia de l'ítem segons les normes APA: Tusquellas, N; Santiago, R; Palau, R (2025). Professional Development Analytics: A Smart Model for Industry 5.0. Applied Sciences-Basel, 15(4), 2057-. DOI: 10.3390/app15042057
    Referencia al articulo segun fuente origial: Applied Sciences-Basel. 15 (4): 2057-
    DOI del artículo: 10.3390/app15042057
    Año de publicación de la revista: 2025-02-01
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-05-09
    Autor/es de la URV: GARCIA TUSQUELLAS, NATALIA / Palau Martin, Ramon Felix
    Departamento: Pedagogia
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Tusquellas, N; Santiago, R; Palau, R
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Process chemistry and technology, Physics, applied, Materials science, multidisciplinary, Materials science (miscellaneous), Materials science (all), Instrumentation, General materials science, General engineering, Fluid flow and transfer processes, Engineering, multidisciplinary, Engineering (miscellaneous), Engineering (all), Computer science applications, Ciências biológicas i, Ciências agrárias i, Chemistry, multidisciplinary
    Direcció de correo del autor: natalia.garcia@estudiants.urv.cat, ramon.palau@urv.cat
  • Palabras clave:

    Teachers
    Professional development
    Learning and development
    Industry 5.0
    Industry 5.
    Corporate education
    Contex
    Artificial-intelligence
    Artificial intelligence
    Chemistry
    Multidisciplinary
    Computer Science Applications
    Engineering (Miscellaneous)
    Engineering
    Fluid Flow and Transfer Processes
    Instrumentation
    Materials Science (Miscellaneous)
    Materials Science
    Physics
    Applied
    Process Chemistry and Technology
    Materials science (all)
    General materials science
    General engineering
    Engineering (all)
    Ciências biológicas i
    Ciências agrárias i
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