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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra informačních a komunikačních technologií (45080)
Title:
Simulating Personalized Learning in Electronic Environment
Citace
Kostolányová, K. Simulating Personalized Learning in Electronic Environment.
In:
10th International Scientific Conference on Distance Learning in Applied Informatics.
Praha: Wolters Kluwer, 2014. Wolters Kluwer, 2014. s. 105-115. ISBN 978-80-7478-497-2.
Subtitle
Publication year:
2014
Obor:
Pedagogika a školství
Number of pages:
11
Page from:
105
Page to:
115
Form of publication:
Tištená verze
ISBN code:
978-80-7478-497-2
ISSN code:
Proceedings title:
10th International Scientific Conference on Distance Learning in Applied Informatics
Proceedings:
Mezinárodní
Publisher name:
Wolters Kluwer
Place of publishing:
Praha
Country of Publication:
Sborník vydaný v ČR
Název konference:
DIVAI 2014
Místo konání konference:
Štúrovo, Slovakia
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
Adaptive education. Simulation. Modeling. E-?learning. Personalized learning.
Annotation in original language:
The principles of the theory of personalized learning realized in the electronic environment have been formulated at the Department of Information and Communication Technologies of the Pedagogical Faculty of the University of Ostrava by a group of enthusiasts, who have specialized in this particular field of research for the last five years. During this time they have succeeded in developing the adaptive LMS (based on theoretical foundations), which enables small scale experiments and verification. The developed adaptive system is not yet ready to be included in the education process. It is a tool for experiments of all kinds, tests, and verification of formulated rules, theories and ideas, which form individual parts of the complex theory of personalized learning. Before the adaptive system can be included in the actual education process, it is necessary to verify the formulations of adaptive rules and algorithms, which are the fundamentals of the new approach to effective learning.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17450/14:A1501B8A
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