Modelling Accelerating Acquisition of Teamwork Competences with Transversal Competences and Artificial Intelligence
DOI:
https://doi.org/10.15678/krem.13131Keywords:
teamwork, creativity, communicativeness, entrepreneurship, transversal competences, competenciesAbstract
Objective: The purpose of this paper was to develop a model for accelerating the acquisition of the selected transversal competence of teamwork. Based on data from four EU countries, four models were developed and the best of them was selected, describing the results and variables relevant to that model.
Research Design & Methods: Data on improving transversal competences were collected from students in four countries, i.e. Poland, Slovakia, Slovenia and Finland. 26 variables were taken into account in the modelling which was based on four methods. They included the Multiple Linear Regression Model, Multivariate Adaptive Regression Splines, Support Vector Machine and two Artificial Neural Network methods.
Findings: The analyses show that the method of educating students and young employees, e.g. during training courses, can be a catalyst for accelerating teamwork competence acquisition. Other transversal competences including creativity, communicativeness and entrepreneurship correlate positively with growth in teamwork competence.
Implications / Recommendations: The study was conducted on an international group, also taking into account cross-cultural variables. However, to deepen the results, it is suggested that the sample size be increased and the research updated. The ranking of the education method is indicated to have an impact on the growth of transversal competences, including teamwork.
Contribution: New approaches in the paper include the analytical approach to modelling the growth in teamwork competence in relation to many variables describing students and young workers in the labour market in the UE. The use of multiple analytical and statistical methods allows the most fitting model to be selected and the error to be minimised.
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References
Abraham, A. (2005). Artificial Neural Networks. In: P. Sydenham, R. Thorn (Eds), Handbook of Measuring System Design (pp. 901–908). John Wiley & Sons. https://doi.org/10.1002/0471497398.mm421
Aczel, A. D., & Sounderpandian, J. (2018). Statystyka w zarządzaniu (2nd ed.). Wydawnictwo Naukowe PWN.
Belchior-Rocha, H., Casquilho-Martins, I., & Simões, E. (2022). Transversal Competencies for Employability: From Higher Education to the Labour Market. Education Sciences, 12(4), 255. https://doi.org/10.3390/educsci12040255
Calero López, I., & Rodríguez-López, B. (2020). The Relevance of Transversal Competences in Vocational Education and Training: A Bibliometric Analysis. Empirical Research in Vocational Education and Training, 12(1), 1–19. https://doi.org/10.1186/s40461-020-00100-0
Diaconu, M., Dutu, A., & Georgescu, B. (2015). The Partnership between Academic and Business Environment. Procedia – Social and Behavioral Sciences, 180, 298–304. https://doi.org/10.1016/j.sbspro.2015.02.120
Dimdiņš, Ģ., Miltuze, A., & Oļesika, A. (2022). Development and Initial Validation of an Assessment Tool for Student Transversal Competences. In: L. Daniela (Ed.), Human, Technologies and Quality of Education, 2022. Proceedings of Scientific Papers (pp. 449–463). University of Latvia. https://doi.org/10.22364/htqe.2022.32
Dudzińska-Głaz, J. (2012). Zarządzanie kompetencjami pracowników jako jeden z elementów strategicznego zarządzania zasobami ludzkimi. In: W. Harasim (Ed.), Zarządzanie kapitałem intelektualnym w organizacji inteligentnej (pp. 82–100). Wyższa Szkoła Promocji.
Elkin, G. (1991). Competency-based HRD. Training and Development, 9(3), 14–18.
European Parliament and Council. (2006). Recommendation of the European Parliament and of the Council of 18 December 2006 on Key Competences for Lifelong Learning (2006/962/EC). Official Journal of the European Union, L 394/10.
Filipowicz, G. (2019). Zarządzanie kompetencjami. Perspektywa firmowa i osobista (3rd ed.). Wolters Kluwer.
Friedman, J. H. (1991). Multivariate Adaptive Regression Splines. The Annals of Statistics, 19(1), 1–67. https://doi.org/10.1214/aos/1176347963
García-Álvarez, J., Vázquez-Rodríguez, A., Quiroga-Carrillo, A., & Priegue Caamaño, D. (2022). Transversal Competencies for Employability in University Graduates: A Systematic Review from the Employers’ Perspective. Education Sciences, 12(3), 204. https://doi.org/10.3390/educsci12030204
Goliński, M., Spychała, M., & Miądowicz, M. (2022). Model of Acquiring Transversal Competences among Students on the Example of the Analysis of Communication Competences. In: J. Machado, F. Soares, J. Trojanowska, S. Yildirim (Eds), Innovations in Mechatronics Engineering. International Conference Innovation in Engineering 2021. Lecture Notes in Mechanical Engineering (pp. 351–365). Springer. https://doi.org/10.1007/978-3-030-79168-1_32
Graczyk-Kucharska, M., Goliński, M., Szafrański, M., Spychała, M., & Wyrwicka, M. (2019). Determinanty akceleracji nabywania kompetencji przekrojowych przez studentów. Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie, 79, 81–99. https://doi.org/10.21008/j.0239-9415.2019.079.06
Graczyk-Kucharska, M., Özmen, A., Szafrański, M., Weber, G. W., Goliński, M., & Spychała, M. (2020). Knowledge Accelerator by Transversal Competences and Multivariate Adaptive Regression Splines. Central European Journal of Operations Research, 28(2), 645–669. https://doi.org/10.1007/s10100-019-00636-x
Greń, J. (1984). Statystyka matematyczna. Modele i zadania. Państwowe Wydawnictwo Naukowe.
Huang, Y. (2022). Effectiveness of Inquiry-based Science Laboratories for Improving Teamwork and Problem-solving Skills and Attitudes. Journal of Research in Science Teaching, 59(3), 329–357. https://doi.org/10.1002/tea.21729
Iwasiewicz, A., & Paszek, Z. (2004). Statystyka z elementami statystycznych metod monitorowania procesów. Wydawnictwo Akademii Ekonomicznej w Krakowie.
Jagodziński, A. (2013). Oczekiwania pracodawców w zakresie kompetencji absolwentów wyższych uczelni. Zeszyty Naukowe PWSZ w Płocku. Nauki Ekonomiczne, 17, 87–104.
Jakubiak, M. K. (2017). Employers’ Expectations towards the Competences of Economic Graduates. Annales Universitatis Mariae Curie-Skłodowska. Sectio H – Oeconomia, 51(3), 39–48. https://doi.org/10.17951/h.2017.51.3.39
Jędrzejczyk, W. (2017). Definiowanie kreatywności jako kompetencji przekrojowej. Przegląd Organizacji, 12, 14–20. https://doi.org/10.33141/po.2017.12.02
Krawczyk-Blicharska, M. E. (2021). Kompetencje i ich profesjonalizacja jako czynnik rozwoju współczesnego człowieka. Kultura i Edukacja, 1(131), 237–253. https://doi.org/10.15804/kie.2021.01.14
Le Deist, F. D., & Winterton, J. (2005). What Is Competence? Human Resource Development International, 8(1), 27–46. https://doi.org/10.1080/1367886042000338227
Mansfield, B. (1999). What Is “Competence” All about? The Widespread Confusion about the Meaning of “Competence” Is Echoed in Its Baffling Jargon. Competency, 6, 24–28.
Muhidova, O. N. (2022). Transversal Competences as a Result of Student’s Modern World View Formation. Current Research Journal of Pedagogics, 3(3), 64–69. https://doi.org/10.37547/pedagogics-crjp-03-03-12
Nosalska, K., & Gracel, J. (2019). Kompetencje pracowników a kształtowanie dojrzałości cyfrowej przedsiębiorstw w kontekście Przemysłu 4.0. Human Resource Management / Zarządzanie Zasobami Ludzkimi, 128(3–4), 73–86.
Piłatowska, M. (2006). Repetytorium ze statystyki. Wydawnictwo Naukowe PWN.
Pisner, D. A., & Schnyer, D. M. (2020). Support Vector Machine. In: A. Mechelli, S. Vieira (Eds), Machine Learning. Methods and Applications to Brain Disorders Pages (pp. 101–121). Academic Press. https://doi.org/10.1016/B978-0-12-815739-8.00006-7
Robotham, D., & Jubb, R. (1996). Competences: Measuring the Unmeasurable. Management Development Review, 9(5), 25–29. https://doi.org/10.1108/09622519610131545
Sá, M. J., & Serpa, S. (2018). Transversal Competences: Their Importance and Learning Processes by Higher Education Students. Education Sciences, 8(3), 126. https://doi.org/10.3390/educsci8030126
Serrano, R. M., Romero, J. A., Bello, M. J., & Pérez, J. D. (2011). Student Training in Transversal Competences at the University of Cordoba. European Educational Research Journal, 10(1), 34–52. https://doi.org/10.2304/eerj.2011.10.1.34
Solarczyk-Ambrozik, E. (2016). Zmiany we wzorach przebiegu karier a całożyciowe uczenie się. In: E. Solarczyk-Ambrozik (Ed.), Doradztwo zawodowe w perspektywie całożyciowego uczenia się (pp. 31–48). Wydawnictwo Naukowe UAM.
Somvanshi, M., Chavan, P., Tambade, S., & Shinde, S. V. (2016). A Review of Machine Learning Techniques Using Decision Tree and Support Vector Machine. 2016 International Conference on Computing Communication Control and Automation (ICCUBEA), 12–13 August, Pune, India. https://doi.org/10.1109/ICCUBEA.2016.7860040
Springer, A. (2018). Kompetencje i satysfakcja: identyfikacja, ocena i znaczenie dopasowania. Difin.
Stęgowski, Z. (2004). Sztuczne sieci neuronowe. Wydawnictwo Naukowo-Techniczne.
Suthaharan, S. (2016). Support Vector Machine. In: S. Suthaharan, Machine Learning Models and Algorithms for Big Data Classification (pp. 207–235). Springer. https://doi.org/10.1007/978-1-4899-7641-3_9
Szafrański, M., Goliński, M., & Simi, H. (Eds). (2017). The Acceleration of Development of Transversal Competences. Centria University of Applied Sciences.
Szafrański, M., Graczyk-Kucharska, M., Więcek-Janka, E., Branowski, M., Goliński, M., & Wyrwicka, M. (2017). Matrix of the Dependencies of Practical Teaching Methods and Methods of Teaching Transversal Competences. In: M. Szafrański, M. Goliński, H. Simi (Eds), The Acceleration of Development of Transversal Competences (pp. 187–198). Centria University of Applied Sciences.
Weber, G. W., Batmaz, I., Köksal, G., Taylan, P., & Yerlikaya-Özkurt, F. (2012). CMARS: A New Contribution to Nonparametric Regression with Multivariate Adaptive Regression Splines Supported by Continuous Optimization. Inverse Problems in Science and Engineering, 20(3), 371–400. https://doi.org/10.1080/17415977.2011.624770
Wildman, J. L., Nguyen, D. M., Duong, N. S., & Warren, C. (2021). Student Teamwork during COVID-19: Challenges, Changes, and Consequences. Small Group Research, 52(2), 119–134. https://doi.org/10.1177/1046496420985185
Wood, R., & Payne, T. (2006). Metody rekrutacji i selekcji pracowników oparte na kompetencjach. Oficyna Ekonomiczna.
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