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Development of an Expert System for the Evaluation of Students’ Curricula on the Basis of Competencies

Author

Listed:
  • Luis Enrique Sánchez

    (Research Group GSyA, University of Castilla-la Mancha (UCLM), Ciudad Real 13700, Spain
    Project Prometeo of Senescyt, University of the Armed Forces (ESPE), SanGolqui 170501, Ecuador)

  • Antonio Santos-Olmo

    (Research and Development Department, Sicaman Nuevas Tecnologías, Tomelloso 13700, Spain)

  • Esther Álvarez

    (Research and Development Department, In-Nova Foundation, Toledo 45007, Spain)

  • Monica Huerta

    (Project Prometeo of Senescyt, University Politécnica Salesiana, Cuenca 10150, Ecuador)

  • Sara Camacho

    (Language department, Universidad Técnica de Ambato, Ambato 180150, Ecuador)

  • Eduardo Fernández-Medina

    (Research Group GSyA, University of Castilla-la Mancha, Ciudad Real 13700, Spain)

Abstract

The concept of competence, which emerged during the reform of computer engineering degrees, has not brought benefits to companies when attempting to select the most suitable candidates for their jobs. This article aims to show some of the research that has been conducted to determine why companies have not found these skills useful and how both can be aligned. Finally, we show the development of an Expert System that will enable companies to select the most suitable candidates for their jobs, considering personal and social skills, along with technical knowledge. This prototype will serve as a basis to align the competencies defined in the curricula with professional requirements, thus allowing a true alignment between degree courses and the needs of professional companies.

Suggested Citation

  • Luis Enrique Sánchez & Antonio Santos-Olmo & Esther Álvarez & Monica Huerta & Sara Camacho & Eduardo Fernández-Medina, 2016. "Development of an Expert System for the Evaluation of Students’ Curricula on the Basis of Competencies," Future Internet, MDPI, vol. 8(2), pages 1-18, May.
    • Handle: RePEc:gam:jftint:v:8:y:2016:i:2:p:22-:d:70334
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    Citations

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    Cited by:

    1. Andreja Abina & Tanja Batkovič & Bojan Cestnik & Adem Kikaj & Rebeka Kovačič Lukman & Maja Kurbus & Aleksander Zidanšek, 2022. "Decision Support Concept for Improvement of Sustainability-Related Competences," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    2. Andreja Abina & Bojan Cestnik & Rebeka Kovačič Lukman & Sara Zavernik & Matevž Ogrinc & Aleksander Zidanšek, 2023. "Transformation of the RESPO Decision Support System to Higher Education for Monitoring Sustainability-Related Competencies," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    3. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.

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