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@inproceedings{1600198, author = {Persia, Fabio and D'Auria, Daniela and Ge, Mouzhi}, address = {San Diego, California, USA}, booktitle = {Proceedings of the 14th IEEE International Conference on Semantic Computing}, doi = {http://dx.doi.org/10.1109/ICSC.2020.00050}, keywords = {Moodle; Multimedia education; Multimedia semantics; OLE; Student performance}, howpublished = {elektronická verze "online"}, language = {eng}, location = {San Diego, California, USA}, isbn = {978-1-7281-6332-1}, pages = {238-241}, publisher = {IEEE}, title = {Improving Learning System Performance with Multimedia Semantics}, year = {2020} }
TY - JOUR ID - 1600198 AU - Persia, Fabio - D'Auria, Daniela - Ge, Mouzhi PY - 2020 TI - Improving Learning System Performance with Multimedia Semantics PB - IEEE CY - San Diego, California, USA SN - 9781728163321 KW - Moodle KW - Multimedia education KW - Multimedia semantics KW - OLE KW - Student performance N2 - Nowadays, different new learning methodologies have been proposed to achieve effective learning in University education. One of the most promising methodologies for teaching computer science is multimedia-based education. In order to empower the performance within the online learning platforms, such as Moodle or OLE, this paper proposes to integrate the multimedia-based education to learning systems, and conducts an experiment with the operating system course. We show that exploiting multimedia, such as educational video and smart text, can significantly improve the student's learning performance in terms of exam grade and knowledge transfer. Further, the paper presents a real-world case study depicting how to enhance the performance of learning platform with multimedia semantics. ER -
PERSIA, Fabio, Daniela D'AURIA and Mouzhi GE. Improving Learning System Performance with Multimedia Semantics. Online. In \textit{Proceedings of the 14th IEEE International Conference on Semantic Computing}. San Diego, California, USA: IEEE, 2020, p.~238-241. ISBN~978-1-7281-6332-1. Available from: https://dx.doi.org/10.1109/ICSC.2020.00050.
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