scholarly journals Correction to: Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic

2021 ◽  
Author(s):  
Ivan Cvitić ◽  
Dragan Peraković ◽  
Marko Periša ◽  
Anca D. Jurcut
Keyword(s):  
Learning Systems ◽  
E Learning

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

scholarly journals Modeling Dyslexic Students’ Motivation for Enhanced Learning in E-learning Systems

2020 ◽  
Vol 10 (3) ◽  
pp. 1-34
Author(s):  
Ruijie Wang ◽  
Liming Chen ◽  
Ivar Solheim
Keyword(s):  
Learning Systems ◽  
E Learning ◽  
Enhanced Learning ◽  
Dyslexic Students

scholarly journals Measuring e-learning systems success: Data from students of higher education institutions in Morocco

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106807
Author(s):  
Abdelaziz Ouajdouni ◽  
Khalid Chafik ◽  
Omar Boubker
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Learning Systems ◽  
E Learning

Activity theory as a framework for building adaptive e-learning systems: A case to provide empirical evidence

2014 ◽  
Vol 30 ◽  
pp. 131-145 ◽  
Author(s):  
Alejandro Peña-Ayala ◽  
Humberto Sossa ◽  
Ignacio Méndez
Keyword(s):  
Activity Theory ◽  
Empirical Evidence ◽  
Learning Systems ◽  
E Learning
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