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In this paper, we present the modeling, design, and a segment of the implementation of an Open Personalized Learning Environment (OPLE) for the Electrical Engineering course that is taught at Vocational Schools. We describe in detail how the chapters of the course are used in the online environment. As methodological principles of this construction we emphasize on the students’ learning behavior, and on the individualized promotion of knowledge, considering the simplicity and the dynamics of the open personalized environment.

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References

  1. Berdeklis, F., Kostas, A., Sofos A. (2019, October). Investigation of the Use and Pedagogical Utilization of the Panhellenic School Network by the Teachers (PE70) of the Dodecanese, in 6th Panhellenic Conference "Integration and Use of ICT in the Educational Process", (pp. 306-317), Department of Primary Education, National and Kapodistrian October 2019-20 Athens University, 18. ISBN 978-618-83186-4-9.
     Google Scholar
  2. Choi, H. J., & Lee, Y. J. (2020, February). Deep Learning Based Response Generation using Emotion Feature Extraction. In 2020 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 255-262). IEEE.
     Google Scholar
  3. Daniel, J. H. (2020). A Process for Modeling the Analysis of Information Systems with the Unified Modeling Language. Journal of Information Systems Education, 10(2), 5.
     Google Scholar
  4. Douligeris, C., Mavropodi, R., Kopanaki, E., Karalis, A., (2017) Technologies and Programming on the World Wide Web, New Technologies Publications, ISBN 978-960-578-031-9.
     Google Scholar
  5. European Commission (2020), European Vocational Skills Week: Fight against COVID-19, Available, 6/2020 from https://ec.europa.
     Google Scholar
  6. eu/social/vocational-skills-week/fight-against-covid-19_en#1.
     Google Scholar
  7. Giles, J., York, T., & Frost, D. (2020). Enabling Unified Modeling Language and Evolutionary Programming. Systems and Software Engineering Publication, 5(1).
     Google Scholar
  8. Hamaniuk, V., Semerikov, S., & Shramko, Y. (2020). ICHTML 2020–How learning technology wins coronavirus. In SHS Web of Conferences (Vol. 75, p. 00001). EDP Sciences.
     Google Scholar
  9. Ifenthaler, D. (Ed.). (2018). Digital workplace learning: Bridging formal and informal learning with digital technologies. Springer.
     Google Scholar
  10. Kallio, J. M., & Halverson, R. (2020). Distributed leadership for personalized learning. Journal of Research on Technology in Education, 52(3), 371-390.
     Google Scholar
  11. Krismadinata, K., Elfizon, E., & Santika, T. (2019, February). Developing Interactive Learning Multimedia on Basic Electrical Measurement Course. In 5th UPI International Conference on Technical and Vocational Education and Training (ICTVET 2018). Atlantis Press.
     Google Scholar
  12. Kotsifakos, D., Kostis, B., Douligeris, C. (2017, April). Science, technology, engineering, and mathematics (STEM) for vocational education in Greece. In Global Engineering Education Conference (EDUCON), 25-28 April 2017, Athens, Greece. IEEE (pp. 1831-1836) Electronic ISSN: 2165-9567.
     Google Scholar
  13. Kyriakos D. (2020) Vocational training and MOOC’s 13th WEBINAR Educational Conference - Educational Sciences - Athens 11-12 July 2020.
     Google Scholar
  14. Lange de, P., Neumann, A. T., Nicolaescu, P., and Klamma, R. (2018). An Integrated Learning Analytics Approach for Virtual Vocational Training Centers. IJIMAI, 5(2), 32-38.
     Google Scholar
  15. Makrygiannis, P., Piromalis, D., Papoutsidakis, M., Tseles, D., and Papakitsos, E., (2019) Epistemologies for Technology and its Teaching: Untying the Knot of a Three-level Technological Problem. In 2019 South-Eastern European Design Automation, Computer Engineering, Computer Networks and Society Media Conference (SEEDA_CECNSM). Piraeus, University of Piraeus, 20 – 22 September, Greece, IEEE.
     Google Scholar
  16. Mehta, R. P. D. H. (2012). Basic Electrical Engineering. S. Chand Publishing.
     Google Scholar
  17. Organisation for Economic Co-operation and Development (OECD). (2020). VET in a time of crisis: building foundations for resilient vocational education and training systems. Available, 6/2020 at
     Google Scholar
  18. https://read.oecd-ilibrary.org/view/?ref=132_132718fdwmrqsgmy&
     Google Scholar
  19. title=VET-in-a-time-of-crisis-Building-foundations-for-resilient-vocational-education-and-training-systems-
     Google Scholar
  20. Peter, B., (2019) “If I had wanted to become an educator, I would have studied it.” Career changers into VET teaching and the implications for the VET teaching pro-fession in Germany. Fernando Marhuenda and María José Chisvert-Tarazona (Editors). Pedagogical concerns and market demand in VET. Proceedings of the 3rd Crossing Boundaries in VET conference Vocational Education and Training Network – VETNET Valencia, Spain, 2-3 May 2019 ISBN: 9781095157909
     Google Scholar
  21. Petko, D., Schmid, R., & Cantieni, A. (2020). Pacing in serious games: Exploring the effects of presentation speed on cognitive load, engagement, and learning gains. Simulation & Gaming, 51(2), 258-279.
     Google Scholar
  22. Santana, O. A., de Sousa, B. A., do Monte, S. R. S., de Freitas Lima, M. L., & e Silva, C. F. (2020, April). Deep learning practice for high school student engagement in STEM careers. In 2020 IEEE Global Engineering Education Conference (EDUCON) (pp. 164-169). IEEE.
     Google Scholar
  23. Sung, H. Y., & Hwang, G. J. (2018). Facilitating effective digital game-based learning behaviours and learning performances of students based on a collaborative knowledge construction strategy. Interactive Learning Environments, 26(1), 118-134.
     Google Scholar
  24. Tzimogiannis, A. (2017). E-Learning: Theoretical Approaches and Educational Designs. Athens: ed. Kritiki.
     Google Scholar
  25. UNESCO (2020), COVID-19 Educational Disruption and Response, Available, 6/2020 from https://en.unesco.org/covid19/educationrespo
     Google Scholar
  26. nse/
     Google Scholar


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