The Necessity of Competency Development in Engineering Informatics Education in the Light of Students’ Characteristics

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 715)

Abstract

Current technological innovations and continuous change in the labor market have generated new challenges for higher education, and universities now underline the importance of competency development. The purpose of this paper is to examine the competencies of undergraduates attending Engineering Informatics education, and to identify their personal needs for development in the light of workplace demands. The characteristics of the motivation and personality profiles of Engineering Informatics students are also addressed in this research in order to reveal possible ways of motivating them by implementing new methods or approaches in Engineering Informatics education.

Keywords

Engineering education Competency development Students’ characteristics 

References

  1. 1.
    Markes, I.: A review of literature on employability skill needs in engineering. Eur. J. Eng. Educ. 31, 637–650 (2006).  https://doi.org/10.1080/03043790600911704 CrossRefGoogle Scholar
  2. 2.
    Conlon, E.: The new engineer: between employability and social responsibility. Eur. J. Eng. Educ. 33(2), 151–159 (2008).  https://doi.org/10.1080/03043790801996371 CrossRefGoogle Scholar
  3. 3.
    Lappalainen, P.: Communication as part of the engineering skills set. Eur. J. Eng. Educ. 34, 123–129 (2009).  https://doi.org/10.1080/03043790902752038 CrossRefGoogle Scholar
  4. 4.
    Kolmos, A.: Future engineering skills, knowledge and identity. In: Christensen, J., et al. (eds.) Engineering Science, Skills, and Bildung, pp 165–186. Aalborg University, Aalborg (2006)Google Scholar
  5. 5.
    Van Der Molen, H.T., Schmidt, H.G., Kruisman, G.: Personality characteristics of engineers. Eur. J. Eng. Educ. 33, 495–501 (2007).  https://doi.org/10.1080/03043790701433111 CrossRefGoogle Scholar
  6. 6.
    Direito, I., Pereira, A., Olivera Duarte, A.M.: Engineering undergraduates’ perceptions of soft skills: relations with self-efficacy and learning styles. Procedia Soc. Behav. Sci. 55, 843–851 (2012).  https://doi.org/10.1016/j.sbspro.2012.09.571 CrossRefGoogle Scholar
  7. 7.
    Williamson, J.M., Lounsbury, J.W., Hanc, L.D.: Key personality traits of engineers for innovation and technology development. J. Eng. Tech. Manage. 30(2), 157–168 (2013).  https://doi.org/10.1016/j.jengtecman.2013.01.003 CrossRefGoogle Scholar
  8. 8.
    Wheeler, P., Haertel, G.D.: Resource Handbook on Performance Assessment and Measurement: A Tool for Students, Practitioners, and Policymakers. The Owl Press, Berkeley (1993)Google Scholar
  9. 9.
    Schomburg, H.: The professional success of higher education graduates. Eur. J. Educ. 42, 35–57 (2007).  https://doi.org/10.1111/j.1465-3435.2007.00286.x CrossRefGoogle Scholar
  10. 10.
    Spence, J.T., Helmreich, R.L.: Achievement-related motives and behavior. In: Spence, T.J. (ed.) Achievement and Achievement Motives: Psychological and Sociological Approaches, pp. 10–74. Freeman, San Francisco (1983)Google Scholar
  11. 11.
    Nguyen Luu, L.A., Kovács, M., Frieze, H.I.: Values and ambivalence towards men and women: A study in Hungary and the United States. Alkalmazott Pszichológia (Applied Psychology, English edition) 2003–2004/3–4:7–19 (2004)Google Scholar
  12. 12.
    Caprara, G.V., Barbaranelli, C., Borgogni, L., Perugini, M.: The “big five questionnaire:” a new questionnaire to assess the five factor model. Pers. Individ. Differ. 15, 281–288 (1993).  https://doi.org/10.1016/0191-8869(93)90218-R CrossRefGoogle Scholar
  13. 13.
    Rózsa, S., Kő, N., Oláh, A.: Rekonstruálható-e a Big Five a hazai mintán? (Is it possible to reconstruct Big Five in a Hungarian sample?). Pszichológia (Psychology) 26, 57–76 (2006)Google Scholar
  14. 14.
    Kline, P., Lapham, S.L.: Personality and faculty in British universities. Pers. Individ. Differ. 13, 855–857 (1992)CrossRefGoogle Scholar
  15. 15.
    Holland, J.L.: Making Vocational Choices: A Theory of Vocational Personalities and Work Environments, 2nd edn. Prentice-Hall, Englewood Cliffs (1985)Google Scholar
  16. 16.
    Boekaerts, M.: Self-regulated learning: where we are today. Int. J. Educ. Res. 31, 445–457 (1999)CrossRefGoogle Scholar
  17. 17.
    Zimmerman, B.J.: Self-regulated learning and academic achievement: an overview. Educ. Psychol. 25, 3–17 (1990).  https://doi.org/10.1207/s15326985ep2501_2 CrossRefGoogle Scholar
  18. 18.
    Yusuf, M.: The impact of self-efficacy, achievement motivation, and self-regulated learning strategies on students’ academic achievement. Procedia Soc. Behav. Sci. 15, 2623–2626 (2011).  https://doi.org/10.1016/j.sbspro.2011.04.158 CrossRefGoogle Scholar
  19. 19.
    Mykrä, T.: Learner-centered Teaching Methods. Indiana University Bloomington, Bloomington (1995)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Ágoston Trefort Centre for Engineering EducationÓbuda UniversityBudapestHungary

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