D
2020
Improving Learning System Performance with Multimedia Semantics
PERSIA, Fabio, Daniela D'AURIA and Mouzhi GE
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
Other information
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/20:00115180
Organization unit
Faculty of Informatics
Keywords in English
Moodle; Multimedia education; Multimedia semantics; OLE; Student performance
Tags
International impact, Reviewed
V originále
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.
Displayed: 8/11/2024 10:44