E-learning in the Time of COVID-19
Scientific Editor Eugenia Smyrnova-Trybulska
“E-learning”, 13, Katowice–Cieszyn 2021, pp. 176–186
https://doi.org/10.34916/el.2021.13.15
ARTIFICIAL INTELLIGENCE TRAINING – APPROACHES, RESULTS, ANALYSES AND CONCLUSIONS
Veneta Tabakova-Komsalova 1, Todorka Glushkova 2, Stanimir Stoyanov 3, & Irina Krasteva 4
Plovdiv University “Paisii Hilendarski”, 4000 Plovdiv, 24 “Tzar Asen” str., Bulgaria
1 veni_tab@abv.bg, ORCID 0000-0002-0617-9844
2 glushkova@uni-plovdiv.bg, ORCID 0000-0002-6243-9364
3 stani@uni-plovdiv.net, ORCID 0000-0002-3854-4260
4 krasteva@uni-plovdiv.bg, ORCID 0000-0003-0842-8143
Abstract: The development of the digital society is directly related to the training and use of algorithms and concepts of artificial intelligence. Packages of strategic documents have been developed at European and national level, which set as a main goal for education the introduction of elements of artificial intelligence in different educational levels and forms of education. In recent years, experimental training in artificial intelligence (AI) has been applied in school education in Bulgaria. New approaches are also applied in the training of computer science students. The report addresses some issues and challenges in organizing and conducting this training. Some guidelines and approaches for creating an appropriate curriculum in the field of knowledge structuring and semantic modelling are outlined. As a result of the conducted experimental training, it was established that this subject can be success- fully studied in secondary school.
Keywords: artificial intelligence, logic programming, knowledge structuring and semantic modelling.
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