DIGITAL LIBRARY
USING FUZZY LOGIC FOR BEHAVIOR SCENARIO SELECTION IN MOODLE SYSTEMS
Riga Technical university (LATVIA)
About this paper:
Appears in: EDULEARN18 Proceedings
Publication year: 2018
Pages: 4837-4842
ISBN: 978-84-09-02709-5
ISSN: 2340-1117
doi: 10.21125/edulearn.2018.1199
Conference name: 10th International Conference on Education and New Learning Technologies
Dates: 2-4 July, 2018
Location: Palma, Spain
Abstract:
“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.
Keywords:
Fuzzy logic, Intelligent system, Moodle, Student classification.