Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Maria Rangoussi"'
Autor:
Nikolaos Nikoloudakis, Maria Rangoussi
Publikováno v:
International Journal for Research in Vocational Education and Training, Vol 11, Iss 3 (2024)
Purpose: A novel, Project- and Collaborative Learning-based educational method is proposed, implemented and evaluated in this paper. The aim is to exploit hands-on laboratory modules in Vocational Education in order to experientially introduce studen
Externí odkaz:
https://doaj.org/article/e1e826ae59a444979898a8a88f427370
Publikováno v:
Education Sciences, Vol 14, Iss 7, p 723 (2024)
Recommender Systems (RSs) have recently emerged as a practical solution to the information overload problem users face when searching for digital content. In general, RSs provide their respective users with specialized advice and guidance in order to
Externí odkaz:
https://doaj.org/article/289375ee61624e8baa1902297ba7a527
Publikováno v:
Education Sciences, Vol 13, Iss 11, p 1088 (2023)
Virtual Reality (VR), especially in its immersive form, is a promising technology employed to support education and training in various fields. VR offers unique opportunities to experience situations and environments that are otherwise inaccessible o
Externí odkaz:
https://doaj.org/article/4ca387938d8d40879655abe8de4495ce
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET). 17:213-230
Among the various information sources exploited for the improvement of the learning process and outcomes, access and usage data from the interaction of students with e-learning platforms along with (past) student performance data are established as t
Autor:
Vissarion Siafis, Maria Rangoussi
Publikováno v:
Proceedings of the 26th Pan-Hellenic Conference on Informatics.
Publikováno v:
Pattern Recognition Letters. 146:90-99
Deep learning concepts have been successfully transferred from the computer vision task to that of wearable human activity recognition (HAR) over the last few years. However, deep learning models require a large volume of annotated samples to be effi
Publikováno v:
International Journal of Artificial Intelligence in Education. 30:371-430
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data ‘mined’ mainly from interactive/e-learning systems. Such systems are kn
Autor:
Kyriacos Yiasemides, Katerina Zachariadou, Nikolaos Moshonas, Maria Rangoussi, Angelos Charitopoulos
Publikováno v:
2022 IEEE Global Engineering Education Conference (EDUCON).
Autor:
Maria Koutantou, Maria Rangoussi
Publikováno v:
Proceedings of the 14th International Conference on Computer Supported Education.
VISUALIZATION OF EDUCATIONAL DATA MINED FROM E-LEARNING PLATFORMS: A COMPARATIVE EVALUATION OF TOOLS
Autor:
Maria Rangoussi, Vissarion Siafis
Publikováno v:
ICERI2021 Proceedings.