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The Student Training System Based on the Approaches of Gamification

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Advances in Computer Science for Engineering and Education II (ICCSEEA 2019)

Abstract

The paper discusses a virtual computer game laboratory named SAUDAI as an innovative method of teaching IT students that will encourage them to learn and generate students’ interest in learning and research. The system is designed to provide students with convenient environment for development and testing of artificial intelligence and motivate students to research, develop, and deepen their knowledge of artificial intelligence, theory of algorithms and decision support systems. The essence of this work is gamification of studying information technology, specifically, the development of a system that allows the user to develop a software solution that can act as a player in a number of computer games. While developing artificial intelligence for each game, the student acquires knowledge of relevant information technology, each game system set up so that the student can acquire and use the skills on the specific topic.

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References

  1. Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y.: The method of big data processing for distance educational system. In: Conference on Computer Science and Information Technologies, pp. 461–473. Springer, Cham, September 2017

    Google Scholar 

  2. Rashkevych, Y.M.: The Bologna Process and the New Paradigm of Higher Education. Vydavnytstvo Lvivska Politechnika, Lviv (2014). (in Ukr.)

    Google Scholar 

  3. System administrator leveling matrix. https://docs.google.com/spreadsheets/d/1FBr20VIOePQH2aAH2a_6irvdB1NOTHZaD8U5e2MOMiw/pub?output=html

  4. Table of levels for the system administrator. http://habrahabr.ru/post/145148/

  5. Matrix of programmer’s competence. http://habrahabr.ru/post/37707/

  6. Beltadze, G.N.: Game theory - basis of higher education and teaching organization. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 8(6), 41–49 (2016). https://doi.org/10.5815/ijmecs.2016.06.06

    Article  Google Scholar 

  7. Brunnet, N., Portugal, C.: Digital games and interactive activities: design of experiences to enhance children teaching-learning process. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 8(12), 1–9 (2016). https://doi.org/10.5815/ijmecs.2016.12.01

    Article  Google Scholar 

  8. Doman, M., Sleigh, M., Garrison, C.: Effect of gamemaker on student attitudes and perceptions of instructors. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 7(9), 1–13 (2015). https://doi.org/10.5815/ijmecs.2015.09.01

    Article  Google Scholar 

  9. Robson, K., Plangger, K., Kietzmann, J.H., McCarthy, I., Pitt, L.: Is it all a game? Understanding the principles of gamification. Bus. Horiz. 58(4), 411–420 (2015)

    Article  Google Scholar 

  10. Bobalo, Y., Stakhiv, P., Shakhovska, N.: Features of an eLearning software for teaching and self-studying of electrical engineering. In: 2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE), pp. 7–9. IEEE, September 2015

    Google Scholar 

  11. Hamari, J., Koivisto, J., Sarsa, H.: Does gamification work?–a literature review of empirical studies on gamification. In: 2014 47th Hawaii International Conference on System Sciences (HICSS), pp. 3025–3034. IEEE, January 2014

    Google Scholar 

  12. Yi, Z., Zhao, K., Li, Y., Cheng, P.: Remote intelligent tutoring system based on multi-agent. In: 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS), pp. 1–4. IEEE, December 2010

    Google Scholar 

  13. Sungkur, R.K., Pudaruth, S., Mahomudally, J., Sookaloo, A.: Measuring students’ uncertainty in a tutoring system using agent technology. In: 2014 IEEE International Advance Computing Conference (IACC), pp. 937–940. IEEE, February 2014

    Google Scholar 

  14. Salukvadze, M.E., Beltadze, G.N.: The optimal principle of stable solutions in lexicographic cooperative games. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 6(3), 11–18 (2014). https://doi.org/10.5815/ijmecs.2014.03.02

    Article  Google Scholar 

  15. Albilali, A.A., Qureshi, R.J.: Proposal to teach software development using gaming technique. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 8(8), 21–27 (2016). https://doi.org/10.5815/ijmecs.2016.08.03

    Article  Google Scholar 

  16. Korkmaz, Ö.: The effects of scratch-based game activities on students’ attitudes, self-efficacy and academic achievement. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 8(1), 16–23 (2016). https://doi.org/10.5815/ijmecs.2016.01.03

    Article  Google Scholar 

  17. Hasko, R., Shakhovska, N.: Tripled learning: conception and first steps applications. In: CEUR Workshop Proceedings 2105, pp. 481–484, May 2018

    Google Scholar 

  18. Oleksiv, I., Izonin, I., Kharchuk, V., Tkachenko, R., Doroshenko, A.: Identification of IT sector stakeholder’s requirements to masters program in information system in Lviv region. In: CEUR Workshop Proceedings 2105, pp. 429–437, May 2018

    Google Scholar 

  19. Kunch, Z., Kharchuk, L., Syerov, Y., Fedushko, S.: Development of concept of terminological online assistant for electric power engineering specialists. In: 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), vol. 1, pp. 83–86. IEEE, September 2017

    Google Scholar 

  20. Maslovskyi, S., Sachenko, A.: Adaptive test system of student knowledge based on neural networks. In: 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), vol. 2, pp. 940–944. IEEE, September 2015

    Google Scholar 

  21. Lendyuk, T., Rippa, S., Sachenko, S.: Simulation of computer adaptive learning and improved algorithm of pyramidal testing. In: 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), vol. 2, pp. 764–769. IEEE, September 2013

    Google Scholar 

  22. Lendyuk, T., Rippa, S., Bodnar, O., Sachenko, A.: Ontology application in context of mastering the knowledge for students. In: 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), vol. 2, pp. 123–126. IEEE, September 2018

    Google Scholar 

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Correspondence to Nataliya Shakhovska .

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Shakhovska, N., Vovk, O., Holoshchuk, R., Hasko, R. (2020). The Student Training System Based on the Approaches of Gamification. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-16621-2_54

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