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Uniwersytet Śląski w Katowicach

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Wydział Sztuki i Nauk o Edukacji

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.

REFERENCES

B a l a g a n u r, S. (2019). The Problem with Including AI in School Curriculum. Analytic India Magazine. Retrieved from https://analyticsindiamag.com/the-problem-with-includ- ing-ai-in-school-curriculum/ (accessed 1 June 2021).

B o c c o n i, S., C h i o c c a r i e l l o, A., D e t t o r i, G., F e r r a r i, A., E n g e l h a r d t, K., K a m p y l i s, P., & P u n i e, Y. (2016). Developing Computational Thinking: Approaches and Orientations in K-12 Education. Proceedings from the EdMedia + Innovate Learning, (13–18), Vancouver, BC, Canada, Jun 28, 2016, ISBN 978-1-939797-24-7.

Concept for the development of Artificial Intelligence in Bulgaria until 2030 Retrieved from https://strategy.bg/FileHandler.ashx?fileId=23684.

G l u s h k o v a, T., S t o y a n o v, S., Ta b a k o v a – K o m s a l o v a, V., G r a n c h a r o v a – H r i s t o v a, M., & K r a s t e v a, I. (2020). An Approach to Teaching Artificial Intelli- gence in School. In E. S m y r n o v a -Tr y b u l s k a (Eds.). Innovative Educational Tech- nologies, Tools and Methods for E-learning (pp. 257–267), 12. https://doi.org/10.34916/ el.2020.12.22.

G u g g e m o s, J. (2021). On the predictors of computational thinking and its growth at the high-school level. Computers & Education, 161, 104060, ISSN 0360-1315. https://doi. org/10.1016/j.compedu.2020.104060.

H a r a n g us, K. & K á t a i, Z. (2020). Computational Thinking in Secondary and Higher Ed- ucation, Procedia Manufacturing, 46, 615–622. ISSN 2351-9789, https://doi.org/10.1016/j.promfg. 2020.03.088.

H i n o j o – L u c e n a, F.-J., A z n a r – D í a z, I., C á c e r e s – R e c h e, M.-P., & R o m e r o – R o d r í g u e z, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, 9, 51. https://doi.org/ 10.3390/educsci 9010051.

H o l m e s, W., B i a l i k, M., & F a d e l, C. (2019). Artificial Intelligence In Education Promises and Implications for Teaching and Learning. Boston: The Center for Curriculum Rede- sign, USA, MA, 02130, ISBN-13: 978-1-794-29370-0, 2019.

M o u d g a l y a, S., Ya d a v, A., S a n d s, Ph., Vo g e l, S., & Z a m a n s k y, M. (2021). Teacher Views on Computational Thinking as a Pathway to Computer Science. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE ‘21), New York, NY, USA (pp. 262–268). https://doi.org/10.1145/3430665.3456334.

S c h w a b, K. (2016). The Fourth Industrial Revolution. Crown Business, USA.

S t o y a n o v, S. & G l u s h k o v a, T. (2020). An Approach to E-learning in the Virtual Educa- tion Space. CEUR Workshop Proceedings, 2770 (pp. 55–64). ISBN 1613-0073.

S t o y a n o v, S., G l u s h k o v a, T., & T o d o r o v, J. (2019). Artificial Intelligence. Solve prob- lems through search. [Izkustven intelekt. Reshavane na problemi posredstvom tarsene]. Sofia: Izkustva. ISBN: 9786197243871.

S t o y a n o v, S., S t o y a n o v a – D o y c h e v a, A., G l u s h k o v a, T., & D o y c h e v, E. (2018). Virtual Physical Space – an architecture supporting internet of things applications. XX- th International Symposium on Electrical Apparatus and Technologies SIELA 2018. IEEE, 3–6 June, Bourgas, Bulgaria. DOI: 10.1109/SIELA.2018.8447156.

T a b a k o v a – K o m s a l o v a, V., G l u s h k o v a, T., G r a n c h a r o v a – H r i s t o v a, M., & K r a s t e v a, I. (2020). Learning tasks in Artificial intelligence education. Educations and Technologies, 11/1, 233–240. ISSN 1314-1791, https://doi.org/10.26883/2010.201.2292.

T u o m i, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. M. C a b r e r a, R. Vu o r i k a r i, & Y. P u n i e (Eds.). Luxembourg: Publications Office of the European Union. ISBN 978-92-79-97257-7, https://doi.org/10.2760/12297, JRC113226.

T u o m i, I. (2020), Research for CULT Committee – The use of Artificial Intelligence (AI) in education, European Parliament. Retrieved from https://www.europarl.europa.eu/RegData/etudes/BRIE/2020/629222/IPOL_BRI(2020)629222_EN.pdf. (accessed 1 July 2021).

White Paper On Artificial Intelligence – A European approach to excellence and trust, 2020. Retrieved from https://ec.europa.eu/info/sites/info/files/commission-white-paper-artifi cial-intelligence-feb2020_bg.pdf.

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