Tal, Irina ORCID: 0000-0001-9656-668X, Zou, Longhao ORCID: 0000-0002-3477-7438, Covaci, Alexandra ORCID: 0000-0002-3205-2273, Ibarrola, Eva ORCID: 0000-0002-7704-6096, Bratu, Marilena, Ghinea, Gheorghita ORCID: 0000-0003-2578-5580 and Muntean, Gabriel-Miro ORCID: 0000-0003-2958-7979 (2019) Mulsemedia in telecommunication and networking education: a novel teaching approach that improves the learning process. IEEE Communications Magazine, 57 (11). pp. 60-66. ISSN 0163-6804
Abstract
The advent and increased use of new technologies, such as innovative mulsemedia and multi-modal content distribution mechanisms, have brought new challenges and diverse opportunities for technology enhanced learning (TEL). NEWTON is a Horizon 2020 European project that revolutionizes the educational process through innovative TEL methodologies and tools, integrated in a pan-European STEM-related learning network platform. This article focuses on one of these novel TEL methodologies (i.e., mulsemedia) and presents how NEWTON enables mulsemedia- enhanced teaching and learning of STEM subjects, with a particular focus on telecommunication and networking related modules. The article also discusses the very promising results of NEWTON case studies carried out with engineering students across two different universities in Spain and Ireland, respectively. The case studies focused on analyzing the impact on the learning process of the mulsemedia-enhanced teaching in the context of telecommunication and networking modules. The main conclusion of the article is that mulsemedia-enhanced education significantly increases students' learning experience and improves their knowledge gain.
Metadata
Item Type: | Article (Published) |
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Refereed: | Yes |
Uncontrolled Keywords: | Mulsemedia; Technology Enhanced Learning; Learner Experience; Telecommunication |
Subjects: | Social Sciences > Education Social Sciences > Educational technology Social Sciences > Teaching |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering |
Publisher: | IEEE |
Official URL: | https://dx.doi.org/10.1109/MCOM.001.1900241 |
Copyright Information: | © 2019 IEEE |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Union’s Horizon 2020 Research and Innovation program under Grant Agreement no. 688503. |
ID Code: | 25810 |
Deposited On: | 27 Apr 2021 10:31 by Vidatum Academic . Last Modified 19 Sep 2023 09:01 |
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