Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 2

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  adaptive learning systems
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Objectives and Content of E-module “Tools for Adaptive Learning. Learning Styles” within the MOOC Course “ICT Tools for E-learning”

100%
Malach J., Kostolányová K., Chmura M., Nagyová I., Prextová T.
International Journal of Research in E-learning IJREL
|
2016
|
vol. 2
|
issue 1
28-40
EN
The paper presents the objectives and content of the educational module “Tools for Adaptive Learning. Learning Styles” within the MOOC course “ICT Tools for E-learning,” which is being developed at the University of Ostrava as an outcome of the IRNet project. The main aim of the course is to provide both academic scholars and students with the theoretical foundation of adaptive learning that will allow them to acquire skills, to use the existing courses in the existing adaptive e-systems, and/or to create new courses and systems. The content of the course includes the following: defining basic constructs used in the course; overview of the development of adaptive learning with the use of educational technologies, its theoretical concepts, and representatives; presentation of the results of the previous researches and educational effects of adaptive (e-)learning, and some of the concepts of adaptive learning that have recently been developed at the University of Ostrava.
2
Publication available in full text mode
Content available

Diagnostics of the Student’s Learning Style With the Use of Modern Information Technologies

80%
Krišová Z., Pokorný M.
The New Educational Review
|
2013
|
vol. 34
174-187
EN
The paper deals with learning styles and their initial diagnostics in the process of the student’s learning. It is focused on a method of learning styles recognition with the support of modern information technologies. The paper analyses different methods of the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. The expert system was designed to diagnose learning styles of university students in adaptive computer aided learning systems. A significant benefit is continuous numerical evaluation of the student’s degree of affiliation to all learning categories (types of student) with a possibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model, which is completely transparent and open, and the use of a decision-making procedure corresponding to the process of human consideration. The paper is an example of an application of modern information technologies in education.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.