PERSIA, Fabio, Daniela D'AURIA and Mouzhi GE. Improving Learning System Performance with Multimedia Semantics. In Proceedings of the 14th IEEE International Conference on Semantic Computing. San Diego, California, USA: IEEE. p. 238-241. ISBN 978-1-7281-6332-1. doi:10.1109/ICSC.2020.00050. 2020.
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Basic information
Original name Improving Learning System Performance with Multimedia Semantics
Authors PERSIA, Fabio (380 Italy), Daniela D'AURIA (380 Italy) and Mouzhi GE (156 China, guarantor, belonging to the institution).
Edition San Diego, California, USA, Proceedings of the 14th IEEE International Conference on Semantic Computing, p. 238-241, 4 pp. 2020.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/20:00115180
Organization unit Faculty of Informatics
ISBN 978-1-7281-6332-1
ISSN 2325-6516
Doi http://dx.doi.org/10.1109/ICSC.2020.00050
UT WoS 000565450400041
Keywords in English Moodle; Multimedia education; Multimedia semantics; OLE; Student performance
Tags core_B, firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/5/2021 07:14.
Abstract
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.
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