Abstract
During the Covid-19 pandemic period, the transition from a physical classroom into a virtual online environment led to the redesign of the teaching practices so that it is pedagogically and technologically adapted to distance education. The main questions raised by the research concern, on the one hand, the possibilities for improvement in terms of benefits through modern Information and Communication Technologies and, on the other hand, the directions for building optimal teaching and learning solutions for the existing teaching method. This paper aims to verify whether the use of remote online learning environments positively enhances learning outcomes. For this purpose, we used weighted online questionnaires, which we submitted to our students. In particular, we investigate the pedagogical effectiveness of the internet version of the “Packet Tracer Anywhere” as applied in the teaching of computer networking courses. Through the presentation of the positively enhances learning outcomes, we describe the benefits and the pedagogical significance of the operation as a whole. Teachers and researchers need to know in detail, in which way specific types of software’s as Network Simulator Software, activate students in distance learning and teaching situations. What we achieved through this research is to record the degree of activation and the degree of satisfaction from the involvement of the students in this specific educational environment.
Keywords
- Network Simulator Software
- Teaching methods
- Synchronous and asynchronous distance learning, and teaching
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Barari, N., RezaeiZadeh, M., Khorasani, A., Alami, F.: Designing and validating educational standards for e-teaching in virtual learning environments (VLEs), based on revised Bloom’s taxonomy. Interact. Learn. Environ. 0(0), 1–13 (2020). https://doi.org/10.1080/10494820.2020.1739078
Bellini, M.I., Pengel, L., Potena, L., Segantini, L., ESOT COVID-19 Working Group: COVID-19 and education: restructuring after the pandemic. Transpl. Int. 34(2), 220–223 (2021)
Clark, J.T.: Distance education. In: Clinical Engineering Handbook, pp. 410–415. Academic Press (2020). https://doi.org/10.1016/B978-0-12-813467-2.00128-0
Cherniltsev, A., Berezina, E.: Review of network modeling and simulation software. In: International Multidisciplinary Scientific GeoConference: SGEM, vol. 20, no. 2.1, pp. 275–282 (2020). https://doi.org/10.5593/sgem2020/2.1/s07.036
El-Sofany, H., El-Haggar, N.: The effectiveness of using mobile learning techniques to improve learning outcomes in higher education. International Association of Online Engineering (2020). https://www.learntechlib.org/p/216981/. Accessed 10 Mar 2021
Kotsifakos, D., Vichou, M., Douligeris, C.: Organization of a teaching network routing algorithms scenario in a Learning Management System (LMS). In: ECEL 2018 17th European Conference on e-Learning, p. 263. Academic Conferences and Publishing Limited, November 2018
Mikroyannidis, A., Gómez-Goiri, A., Smith, A., Domingue, J.: PT anywhere: a mobile environment for practical learning of network engineering. Interact. Learn. Environ. 28(4), 482–496 (2018)
Mikroyannidis, A., Gomez-Goiri, A., Smith, A., Domingue, J.: Online experimentation and interactive learning resources for teaching network engineering. In: IEEE Global Engineering Education Conference (EDUCON), Athens, Greece. IEEE Education Society Publications (2017)
Onyema, E.M., et al.: Impact of Coronavirus pandemic on education. J. Educ. Pract. 11(13), 108–121 (2020)
Rosewell, J., et al.: Open Networking Lab: online practical learning of computer networking. In: The Online, Open and Flexible Higher Education Conference: Blended and Online Learning: Changing the Educational Landscape. Aarhus University, Denmark (2018)
Samoylenko, N., Zharko, L., Glotova, A.: Designing online learning environment: ICT tools and teaching strategies. Athens J. Educ. 8, 1–15 (2021). https://doi.org/10.30958/aje.X-Y-Z
Shamir-Inbal, T., Blau, I.: Facilitating emergency remote K-12 teaching in computing-enhanced virtual learning environments during COVID-19 pandemic-blessing or curse? J. Educ. Comput. Res. 59(7), 1243–1271 (2021). https://doi.org/10.1177/0735633121992781
Seralidou, E., Douligeris, C., Gralista, C.: EduApp: a collaborative application for mobile devices to support the educational process in Greek secondary education. In: 2019 IEEE Global Engineering Education Conference (EDUCON), pp. 189–198. IEEE, April 2019
Liu, Y., Yu, M.: Verification and analysis of mobile communication network simulation method based on reverse coverage test. In: Journal of Physics: Conference Series, vol. 1437, no. 1, p. 012003. IOP Publishing (2020)
Viberg, O., Khalil, M., Baars, M.: Self-regulated learning and learning analytics in online learning environments: a review of empirical research. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 524–533, March 2020
Zimmerman, B.J., Moylan, A.R.: Self-regulation: where metacognition and motivation intersect. In: Dalam Hacker, D.J. (ed.) Handbook of Metacognition in Education, pp. 299–316. Routledge, New York (2009)
Acknowledgment
This work has been partially supported by UPRC (University of Piraeus Research Center) and by COSMOTE through a PEDION24 grant.
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Magetos, D., Sarlis, I., Kotsifakos, D., Douligeris, C. (2022). Network Simulator Software Utilization as a Teaching Method for Distance Learning. In: Auer, M.E., Hortsch, H., Michler, O., Köhler, T. (eds) Mobility for Smart Cities and Regional Development - Challenges for Higher Education. ICL 2021. Lecture Notes in Networks and Systems, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-93904-5_28
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DOI: https://doi.org/10.1007/978-3-030-93904-5_28
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