A Creative Ecosystem to Improve the Students Adaptation to Current Trends in IT Companies

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

Abstract

An intellectual capital represents all resources that determine the value of an organization, and the competitiveness of an enterprise. We would like to develop the intellectual capital of our students to simplify their adaptation to ways of working in IT companies. This paper presents a proposal to design a creative ecosystem for helping students to become more prepared for the real-life work on IT projects. We started with the SCRUM methodology; next, we applied some selected methods of active learning and continued with supporting software tools Slack and Sli.do. Our motivation was to achieve better students’ performance, timely delivery of the results and a high employment rate of our graduates. We discussed our preliminary results with participated IT companies and based on their positive feedback, we agreed on extended collaborations, e.g. invited lectures, interactive workshops or competitions for students.

Keywords

Ecosystem Proactivity Creativity 

Notes

Acknowledgment

The work presented in this paper was partially supported by the Cultural and Educational Grant Agency of the Ministry of Education and Academy of Science of the Slovak Republic under grants no. 025TUKE-4/2015 and no. 05TUKE-4/2017.

References

  1. 1.
    Van Laar, E., van Deursen, A., van Dijk, J., de Haan, J.: The relation between 21st-century skills and digital skills: a systematic literature review. Comput. Hum. Behav. 72, 577–588 (2017)CrossRefGoogle Scholar
  2. 2.
    Mohd Daud, A., Omar, J., Turiman, P., Osman, K.: Creativity in science education. UKM teaching and learning congress 2011. Procedia – Soc. Behav. Sci. 59, 467–474 (2012)CrossRefGoogle Scholar
  3. 3.
    Stojanova, B.: Development of creativity as a basic task of the modern educational system. Procedia Soc. Behav. Sci. 2, 3395–3400 (2010)CrossRefGoogle Scholar
  4. 4.
    Kim, S., Moon, W., Kim, W., Park, S., Moon, I.: Is it possible to improve creativity? If yes, how do we do it? In: 21st European Symposium on Computer Aided Process Engineering, pp. 1130–1134 (2011)Google Scholar
  5. 5.
    Siu, K.W.M.: Promoting creativity in engineering programmes: difficulties and opportunities. WCES 2012, Procedia – Soc. Behav. Sci. 46, 5290–5295 (2012)CrossRefGoogle Scholar
  6. 6.
    Jackson, N.: Making higher education a more creative place. J. Enhanc. Learn. Teach. 2(1), 14–25 (2005)Google Scholar
  7. 7.
    Geertshuis, S., Jung, M., Cooper-Thomas, H.: Preparing students for higher education: the role of proactivity. Int. J. Teach. Learn. High. Educ. 26(2), 157–169 (2014)Google Scholar
  8. 8.
    Barata, G., Gama, S., Jorge, J., Gonçalves, D.: Improving participation and learning with gamification. In: Proceedings of the First International Conference on Gameful Design, Research, and Applications, Toronto, Canada, pp. 10–17 (2013)Google Scholar
  9. 9.
    Brame, C.: Active learning. Vanderbilt University Center for Teaching (2016)Google Scholar
  10. 10.
    Bonwell, C.C., Eison, J.A.: Active Learning: creating excitement in the classroom. ASH#-ERIC higher education Report No. 1, School of Education and Human Development. The George Washington University, Washington, D.C. (1991)Google Scholar
  11. 11.
    Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. USA 111, 8410–8415 (2014)CrossRefGoogle Scholar
  12. 12.
    Ruiz-Primo, M.A., Briggs, D., Iverson, H., Talbot, R., Shepard, L.A.: Impact of undergraduate science course innovations on learning. Science 331, 1269–1270 (2011)CrossRefGoogle Scholar
  13. 13.
    Sutherland, J., Schwaber, K.: Scrum development process. In: OOPSLA Business Object Design and Implementation Workshop, Object-Oriented Programming, Systems and Applications (OOPSLA) Convention, Austin, Texas, USA (1995)Google Scholar
  14. 14.
    Brame, C.J., Biel, R.: Test-enhanced learning: the potential for testing to promote greater learning in undergraduate science courses. CBE Life Sci. Educ. 14, 1–12 (2015)CrossRefGoogle Scholar
  15. 15.
    Nah, F.F., Zeng, Q., Telaprolu V.R., Ayyappa, A.P., Eschenbrenner, B.: Gamification of Education: a review of literature. In: Nah, F.F.H. (eds.) HCI in Business. HCIB 2014, Lecture Notes in Computer Science, vol. 8527, pp. 401–409. Springer (2014)Google Scholar
  16. 16.
    Bordes, S.S., Durelli, V.H.S., Reis, H.M., Isotani, S.: A systematic mapping on gamification applied to education. In: SAC 2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing, Gyeongju, Republic of Korea, pp. 216–222 (2014)Google Scholar
  17. 17.
    Lorenzo, M., Crouch, C.H., Mazur, E.: Reducing the gender gap in the physics classroom. Am. J. Phys. 74, 118–122 (2006)CrossRefGoogle Scholar
  18. 18.
    Sun, J.C.-Y.: Influence of polling technologies on student engagement: an analysis of student motivation, academic performance, and brainwave data. Comput. Educ. 72, 80–89 (2014)CrossRefGoogle Scholar
  19. 19.
    Mahnič, V.: Scrum in software engineering courses: an outline of the literature. Glob. J. Eng. Educ. 17(2), 77–83 (2015)Google Scholar
  20. 20.
    Santos, N., Fernandes, J.M., Carvalho, M.S., Silva, P.V., Fernandes, F.A., Rebelo, M.P., Barbosa, D., Maia, P., Couto, M., Machado, R.J.: Using scrum together with UML models: a collaborative university-industry R&D software project. In: Proceeding of ICCSA 2016, LNCS, vol. 9789, Springer (2016)Google Scholar
  21. 21.
    May, J., York, J., Lending, D.: Play ball: bringing scrum into the classroom. J. Inf. Syst. Educ. 27(2), 87–92 (2016)Google Scholar
  22. 22.
    Sarnovský, M., Paralič, J.: Teaching big data analysis at technical university in Kosice in business information systems study program. In: Proceedings of 13th International Conference on Emerging eLearning Technologies and Applications (ICETA), pp. 325–330. IEEE (2015)Google Scholar
  23. 23.
    Sarnovský, M.: Design and implementation of the cloud based application for text mining tasks. Data Min. Knowl. Eng. 6(6), 261–264 (2014)Google Scholar
  24. 24.
    Muchová, M., Paralič, J., Jančuš, M.: An approach to support education of data mining algorithm. In: Proceedings of IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Herľany, Slovakia, pp. 93–98 (2017)Google Scholar
  25. 25.
    Smatana, M., Paralič, J., Butka, P.: Topic modelling over text streams from social media. In: Text, Speech and Dialogue, LNCS, vol. 9924, pp. 163–172 (2016)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and InformaticsTechnical University of KošiceKošiceSlovakia

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