Improving Learning System Performance with Multimedia Semantics

D 2020

Improving Learning System Performance with Multimedia Semantics

PERSIA, Fabio, Daniela D'AURIA a Mouzhi GE

Základní údaje

Originální název

Improving Learning System Performance with Multimedia Semantics

Autoři

PERSIA, Fabio (380 Itálie), Daniela D'AURIA (380 Itálie) a Mouzhi GE (156 Čína, garant, domácí)

Vydání

San Diego, California, USA, Proceedings of the 14th IEEE International Conference on Semantic Computing, od s. 238-241, 4 s. 2020

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/20:00115180

Organizační jednotka

Fakulta informatiky

ISBN

978-1-7281-6332-1

ISSN

DOI

http://dx.doi.org/10.1109/ICSC.2020.00050

UT WoS

000565450400041

Klíčová slova anglicky

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

Štítky

firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 5. 2021 07:14, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Citovat

PERSIA, Fabio, Daniela D'AURIA a Mouzhi GE. Improving Learning System Performance with Multimedia Semantics. Online. In Proceedings of the 14th IEEE International Conference on Semantic Computing. San Diego, California, USA: IEEE, 2020, s. 238-241. ISBN 978-1-7281-6332-1. Dostupné z: https://dx.doi.org/10.1109/ICSC.2020.00050.

@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 a 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, s.~238-241. ISBN~978-1-7281-6332-1. Dostupné z: https://dx.doi.org/10.1109/ICSC.2020.00050.

Podrobný výpis o publikaci