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

Publisher

IEEE

Other information

Language

English

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

ISBN

978-1-7281-6332-1

ISSN

DOI

UT WoS

000565450400041

Keywords in English

Moodle; Multimedia education; Multimedia semantics; OLE; Student performance

Tags

Tags

International impact, Reviewed
Změněno: 14/5/2021 07:14, RNDr. Pavel Šmerk, Ph.D.

Abstract

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.