Ontology-Based Model of Information Technology for E-Learning Systems

The article is devoted to the ontology-based model of information technology for e-learning systems which are based on the creation of the course ontology and the didactics of E-learning. The authors conduct an overview and create a classification of modern information technologies in education. The article also describes what benefits can be obtained using the chunk-based approach to analyze students’ knowledge. A new model of interaction between the all members of the educational process is proposed. The authors come to the conclusion that the educational application of the ontology-based model of information technology for e-learning systems should be based on granting lecture lessons with an additional motivational component, creating computerbased support of unsupervised work, automatizing knowledge level control

[1]  Solomia Fedushko,et al.  Methods for forming an informational image of a higher education institution , 2015, Webology.

[2]  Yuriy Syerov,et al.  Methods of Determining Information Support of Web Community User Personal Data Verification System , 2017, AUTOMATION.

[3]  Yuriy Syerov,et al.  Protection of University Information Image from Focused Aggressive Actions , 2016, ICONS 2016.

[4]  Olga Berestneva,et al.  Network Society: Aggregate Topological Models , 2014 .

[5]  Sergiy Gnatyuk,et al.  Synergistic effects of information and cybernetic interaction in civil aviation , 2016 .

[6]  Viacheslav Liskin,et al.  Information Technology Based on Chunk Approach for Ontology Driven E-Learning Engine , 2018, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).

[7]  Bernhard Ganter,et al.  Formal Concept Analysis, 6th International Conference, ICFCA 2008, Montreal, Canada, February 25-28, 2008, Proceedings , 2008, International Conference on Formal Concept Analysis.

[8]  Sergiy Gnatyuk,et al.  Critical Aviation Information Systems Cybersecurity , 2016, Meeting Security Challenges Through Data Analytics and Decision Support.

[9]  Ronald W. Langacker,et al.  Concept, Image, and Symbol , 1990 .

[10]  Sergiy Gnatyuk,et al.  Unified data model for defining state critical information infrastructure in civil aviation , 2018, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT).

[11]  Yuriy Syerov,et al.  University’s Information Image as a Result of University Web Communities’ Activities , 2017 .

[12]  Sergiy Gnatyuk,et al.  Quantitative Evaluation Method for Mass Media Manipulative Influence on Public Opinion , 2019, COLINS.

[13]  Jamil Samih Al-Azzeh,et al.  ZigBee, Bluetooth and Wi-Fi Complex Wireless Networks Performance Increasing , 2017 .

[14]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[15]  Yuriy Syerov,et al.  The cataloging of virtual communities of educational thematic , 2014, Webology.

[16]  Viacheslav Liskin,et al.  E-learning Information Technology Based on an Ontology Driven Learning Engine , 2017, ArXiv.

[17]  Viacheslav Liskin,et al.  Ontology-Based Approach for E-learning Course Creation Using Chunks , 2019 .