Articles producció científicaPedagogia

Professional Development Analytics: A Smart Model for Industry 5.0

  • Identification data

    Identifier:  imarina:9448936
    Authors:  Tusquellas, Natalia; Santiago, Raul; Palau, Ramon
    Abstract:
    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.
  • Others:

    Link to the original source: https://www.mdpi.com/2076-3417/15/4/2057
    APA: Tusquellas, Natalia; Santiago, Raul; Palau, Ramon (2025). Professional Development Analytics: A Smart Model for Industry 5.0. Applied Sciences-Basel, 15(4), 2057-. DOI: 10.3390/app15042057
    Paper original source: Applied Sciences-Basel. 15 (4): 2057-
    Article's DOI: 10.3390/app15042057
    Journal publication year: 2025
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2025-03-22
    URV's Author/s: Palau Martin, Ramon Felix
    Department: Pedagogia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Tusquellas, Natalia; Santiago, Raul; Palau, Ramon
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Astronomia / física, Biodiversidade, Chemistry, multidisciplinary, Ciência de alimentos, Ciências agrárias i, Ciências biológicas i, Ciências biológicas ii, Ciências biológicas iii, Computer science applications, Engenharias i, Engenharias ii, Engineering (all), Engineering (miscellaneous), Engineering, multidisciplinary, Fluid flow and transfer processes, General engineering, General materials science, Instrumentation, Materiais, Materials science (all), Materials science (miscellaneous), Materials science, multidisciplinary, Physics, applied, Process chemistry and technology, Química
    Author's mail: ramon.palau@urv.cat
  • Keywords:

    Artificial intelligence
    Artificial-intelligence
    Contex
    Corporate education
    Industry 5.
    Industry 5.0
    Learning and development
    Professional development
    Teachers
    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
    Astronomia / física
    Biodiversidade
    Ciência de alimentos
    Ciências agrárias i
    Ciências biológicas i
    Ciências biológicas ii
    Ciências biológicas iii
    Engenharias i
    Engenharias ii
    Engineering (all)
    General engineering
    General materials science
    Materiais
    Materials science (all)
    Química
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