Authors: | Triperina, Evangelia Tsolakidis, Anastasios Chytas, Konstantinos Skourlas, Christos |
Issue Date: | 17-May-2023 |
Journal: | Data Technologies and Applications |
Volume: | 57 |
Issue: | 3 |
Keywords: | Blended learning, Educational data mining, Information system, Knowledge discovery, Learning analytics, Online services |
Abstract: | Purpose: The purpose of this paper is to introduce an interactive system that relies on the educational data generated from the online Universities services to assess, correct and ameliorate the learning process for both students and faculty. Design/methodology/approach: In the presented research, data from the online services, provided by a Greek University, prior, during and after the COVID-19 outbreak, are analyzed and utilized in order to ameliorate the offered learning process and provide better quality services to the students. Moreover, according to the learning paths, their presence online and their participation in the services of the University, insights can be derived for their performance, so as to better support and assist them. Findings: The system can deduce the future learning progression of each student, according to the past and the current performance. As a direct consequence, the exploitation of the data can provide a road map for the strategic planning of universities, can indicate how the learning process can be updated and amended, both online and in person, as well as make the learning experience more essential, effective and efficient for the students and aiding the professors to provide a more meaningful and to-the-point learning experience. Originality/value: Nowadays, educational activities in academia are strongly supported by online services, information systems and online educational materials. The learning design in the academic setting is primarily facilitated in the University premises. However, the exploitation of the contemporary technologies and supporting materials that are available online can enrich and transform the educational process and its results. |
ISSN: | 2514-9288 |
DOI: | 10.1108/DTA-06-2022-0252 |
URI: | https://uniwacris.uniwa.gr/handle/3000/2765 |
Type: | Article |
Department: | Department of Archival, Library and Information Studies |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Articles / Άρθρα |
CORE Recommender
SCOPUSTM
Citations
6
checked on Sep 9, 2024
Page view(s)
8
checked on Sep 11, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.