Improving Learning System Performance with Multimedia Semantics

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	PERSIA Fabio D'AURIA Daniela GE Mouzhi
Rok publikování	2020
Druh	Článek ve sborníku
Konference	Proceedings of the 14th IEEE International Conference on Semantic Computing
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
Doi	http://dx.doi.org/10.1109/ICSC.2020.00050
Klíčová slova	Moodle; Multimedia education; Multimedia semantics; OLE; Student performance
Popis	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.