Intelligent E-Learning Systems for Evaluation of User’s Knowledge and Skills with Efficient Information Processing

2010 ◽  
pp. 508-515 ◽  
Author(s):  
Wojciech Kacalak ◽  
Maciej Majewski ◽  
Jacek M. Zurada
Keyword(s):  
Information Processing ◽  
Learning Systems ◽  
Knowledge And Skills ◽  
E Learning ◽  
Efficient Information

Virtual Training of E-Learning in the Formation of Natural Science Educational Space

2016 ◽  
pp. 530-542
Author(s):  
Elvira Matveeva
Keyword(s):  
Distance Education ◽  
21St Century ◽  
Natural Science ◽  
Learning Systems ◽  
State University ◽  
Virtual Training ◽  
Knowledge And Skills ◽  
Information And Computer Technology ◽  
E Learning ◽  
Triple H

The beginning of the second decade of the 21st century is characterized by reforming the basic forms of acquisition of knowledge and skills of students as well as training. Currently the focus is on traditional forms of learning based on information and computer technology and distance education. The chapter goal is analyses Vardan Mkrttchian and Elvira Matveeva last publications about virtual training of E-learning Systems in the formation of natural science educational space and using basic chemistry subjects in online and blended education at Astrakhan State University and realization in teaching electro energetics using www.wizIQ.com plus Triple H-Avatar Cloud Private Platform of HHH University.

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.

Information transformation: Some missing links

2007 ◽  
Vol 26 (3) ◽  
pp. 157-172
Author(s):  
Ivan P. Vaghely ◽  
Pierre-André Julien ◽  
André Cyr
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Information Processing ◽  
Knowledge Creation ◽  
Best Practice ◽  
Participant Observation ◽  
Human Information Processing ◽  
Process Information ◽  
Information Transformation ◽  
Efficient Information

Using grounded theory along with participant observation and interviews the authors explore how individuals in organizations process information. They build a model of human information processing which links the cognitivist-constructionist perspective to an algorithmic-heuristic continuum. They test this model using non-parametric procedures and find interesting results showing links to efficient information processing outcomes such as contributions to decision-making, knowledge-creation and innovation. They also identify some elements of best practice by efficient human information processing individuals whom they call the “information catalysts”.

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