An Open Virtual World for Professional Development

Stefanova, Eliza

Serdica Journal of Computing (2013)

  • Volume: 7, Issue: 1, page 81-100
  • ISSN: 1312-6555

Abstract

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The paper presents a study that focuses on the issue of sup-porting educational experts to choose the right combination of educational methodology and technology tools when designing training and learning programs. It is based on research in the field of adaptive intelligent e-learning systems. The object of study is the professional growth of teachers in technology and in particular that part of their qualification which is achieved by organizing targeted training of teachers. The article presents the process of creating and testing a system to support the decision on the design of training for teachers, leading to more effective implementation of technology in education and integration in diverse educational contexts. ACM Computing Classification System (1998): H.4.2, I.2.1, I.2, I.2.4, F.4.1.∗This article presents the principal results of the Ph.D. thesis Open Virtual Worlds for Professional Development by Eliza Stefanova (Faculty of Mathematics and Informatics at Sofia University), successfully defended at the Specialized Academic Council of FMI on 10 December, 2012.

How to cite

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Stefanova, Eliza. "An Open Virtual World for Professional Development." Serdica Journal of Computing 7.1 (2013): 81-100. <http://eudml.org/doc/252268>.

@article{Stefanova2013,
abstract = {The paper presents a study that focuses on the issue of sup-porting educational experts to choose the right combination of educational methodology and technology tools when designing training and learning programs. It is based on research in the field of adaptive intelligent e-learning systems. The object of study is the professional growth of teachers in technology and in particular that part of their qualification which is achieved by organizing targeted training of teachers. The article presents the process of creating and testing a system to support the decision on the design of training for teachers, leading to more effective implementation of technology in education and integration in diverse educational contexts. ACM Computing Classification System (1998): H.4.2, I.2.1, I.2, I.2.4, F.4.1.∗This article presents the principal results of the Ph.D. thesis Open Virtual Worlds for Professional Development by Eliza Stefanova (Faculty of Mathematics and Informatics at Sofia University), successfully defended at the Specialized Academic Council of FMI on 10 December, 2012.},
author = {Stefanova, Eliza},
journal = {Serdica Journal of Computing},
keywords = {Decision Support Systems; Expert Systems; Artificial Intelligence; Knowledge Representation and Reasoning; Vagueness; Fuzzy Logic},
language = {eng},
number = {1},
pages = {81-100},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {An Open Virtual World for Professional Development},
url = {http://eudml.org/doc/252268},
volume = {7},
year = {2013},
}

TY - JOUR
AU - Stefanova, Eliza
TI - An Open Virtual World for Professional Development
JO - Serdica Journal of Computing
PY - 2013
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 7
IS - 1
SP - 81
EP - 100
AB - The paper presents a study that focuses on the issue of sup-porting educational experts to choose the right combination of educational methodology and technology tools when designing training and learning programs. It is based on research in the field of adaptive intelligent e-learning systems. The object of study is the professional growth of teachers in technology and in particular that part of their qualification which is achieved by organizing targeted training of teachers. The article presents the process of creating and testing a system to support the decision on the design of training for teachers, leading to more effective implementation of technology in education and integration in diverse educational contexts. ACM Computing Classification System (1998): H.4.2, I.2.1, I.2, I.2.4, F.4.1.∗This article presents the principal results of the Ph.D. thesis Open Virtual Worlds for Professional Development by Eliza Stefanova (Faculty of Mathematics and Informatics at Sofia University), successfully defended at the Specialized Academic Council of FMI on 10 December, 2012.
LA - eng
KW - Decision Support Systems; Expert Systems; Artificial Intelligence; Knowledge Representation and Reasoning; Vagueness; Fuzzy Logic
UR - http://eudml.org/doc/252268
ER -

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