Using Fuzzy Logic for Behavior Scenario Selection in Moodle Systems
EDULEARN18 Proceedings: 10th International Conference on Education and New Learning Technologies 2018
Svetlana Jurenoka, Sergejs Bobrovskis, Aleksejs Jurenoks

“Intelligent e-learning system” have widely established their position as a research field during the last decade. The selection of methods to control performance of e-learning systems depends on a great number of conditions of the system being researched. Intelligent systems allow developing different scenarios of functioning of the investigated e-learning systems. Use of Fuzzy logic in e-learning systems may be used for tackling a wide range of electronic education problems (design and analysis of course structure, questioner data base management, balancing of production capacities, optimization of learning structure etc.). This research helps to detect the most problematics scenarios of learning scenario selection process, check the efficiency of the decisions taken to select the work strategy and proposes to use a context sensitive and proactive fuzzy logical system for managing intelligent e-learning systems adaption to specific user.


Atslēgas vārdi
fuzzy logic, intelligent system, moodle, student classification.
DOI
10.21125/edulearn.2018
Hipersaite
https://library.iated.org/publications/EDULEARN18

Jurenoka, S., Bobrovskis, S., Jurenoks, A. Using Fuzzy Logic for Behavior Scenario Selection in Moodle Systems. No: EDULEARN18 Proceedings: 10th International Conference on Education and New Learning Technologies, Spānija, Palma, 2.-4. jūlijs, 2018. Valencia: IATED Academy, 2018, 4837.-4842.lpp. ISBN 978-84-09-02709-5. ISSN 2340-1117. Pieejams: doi:10.21125/edulearn.2018

Publikācijas valoda
English (en)
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