Modeling, Designing and Implementing an Open Personalized Learning Environment for the Electrical Engineering Training Course in Vocational Education

##plugins.themes.bootstrap3.article.main##

  •   Georgios Kolyvas

  •   Dimitrios Kotsifakos

  •   Christos Douligeris

Abstract

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.


Keywords: Electrical Engineers, Internet, Technical Education

References

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.

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.

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.

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.

European Commission (2020), European Vocational Skills Week: Fight against COVID-19, Available, 6/2020 from https://ec.europa.

eu/social/vocational-skills-week/fight-against-covid-19_en#1.

Giles, J., York, T., & Frost, D. (2020). Enabling Unified Modeling Language and Evolutionary Programming. Systems and Software Engineering Publication, 5(1).

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.

Ifenthaler, D. (Ed.). (2018). Digital workplace learning: Bridging formal and informal learning with digital technologies. Springer.

Kallio, J. M., & Halverson, R. (2020). Distributed leadership for personalized learning. Journal of Research on Technology in Education, 52(3), 371-390.

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.

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.

Kyriakos D. (2020) Vocational training and MOOC’s 13th WEBINAR Educational Conference - Educational Sciences - Athens 11-12 July 2020.

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.

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.

Mehta, R. P. D. H. (2012). Basic Electrical Engineering. S. Chand Publishing.

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

https://read.oecd-ilibrary.org/view/?ref=132_132718fdwmrqsgmy&

title=VET-in-a-time-of-crisis-Building-foundations-for-resilient-vocational-education-and-training-systems-

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

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.

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.

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.

Tzimogiannis, A. (2017). E-Learning: Theoretical Approaches and Educational Designs. Athens: ed. Kritiki.

UNESCO (2020), COVID-19 Educational Disruption and Response, Available, 6/2020 from https://en.unesco.org/covid19/educationrespo

nse/

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

How to Cite
[1]
Kolyvas, G., Kotsifakos, D. and Douligeris, C. 2020. Modeling, Designing and Implementing an Open Personalized Learning Environment for the Electrical Engineering Training Course in Vocational Education. European Journal of Engineering and Technology Research. CIE (Dec. 2020). DOI:https://doi.org/10.24018/ejers.2020.0.CIE.2308.