Learning the Basics of Artificial Intelligence in High School Computer Science Classes

Authors

DOI:

https://doi.org/10.28925/2312-5829/2024.4.3

Keywords:

artificial intelligence, computer science, secondary school, high school students, thematic plan

Abstract

The article investigates the issue of generative AI technologies in high school computer science classes. The purpose of the study was to develop a methodology for studying AI in high school. For this purpose, a comprehensive analytical approach was applied, including such methods as analysis of regulatory documents, review of scientific literature and Internet sources, synthesis and interpretation of data, and critical analysis. The authors analyzed computer science curricula for grades 10 and 11, standard and advanced level textbooks, as well as scientific publications by Ukrainian and foreign scholars. Findings indicate that artificial intelligence is not addressed as a standalone curriculum topic but is integrated into broader modern information technology topics, and textbooks primarily provide a general introduction to AI concepts, basic principles, and applications rather than emphasizing practical use. Based on the analysis of scientific research, it is concluded that there is insufficient coverage of the problems of teaching artificial intelligence technologies in high school computer science classes, in particular, there are no clear indications of the content, plan, sequence of studying artificial intelligence technologies, etc. In general, there is no consistent program for studying artificial intelligence in high school. With this in mind, the authors analyzed English-language resources for teaching artificial intelligence. The study of these resources, in turn, allowed authors to develop methodological recommendations for the study of artificial intelligence technologies in computer science classes in grades 10 and 11. The methodological recommendations are presented in the article in two thematic plans: one for grade 10 and one for grade 11, each containing a list of topics (six for grade 10 and ten for grade 11) and links to relevant instructional resources. The methodology is a comprehensive approach designed for two years of study and aimed at gradually deepening students' knowledge and skills. It allows students not only to gain in-depth theoretical knowledge of artificial intelligence, but also to develop practical skills in its use, and promotes ethical understanding and critical thinking about artificial intelligence technologies.

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References

Chiu, T. K. F., Meng, H., Chai, C.-S., King, I., Wong, S., & Yam, Y. (2022). Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum. IEEE Transactions on Education, 65(1), 30–39 [in English]. https://doi.org/10.1109/TE.2021.3085878

Lee, I., Ali, S., Zhang, H., DiPaola, D., & Breazeal, C. (2021). Developing Middle School Students’ AI Literacy. In: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21), (pp.191– 197). Association for Computing Machinery [in English]. https://doi.org/10.1145/3408877.3432513

Martins, R. M., von Wangenheim, C. G., Rauber, M. F., & Hauck, J. C. (2024). Machine Learning for All! — Introducing machine learning in middle and high school. International Journal of Artificial Intelligence in Education, 34(2), 185–223 [in English].

Nisheva-Pavlova, M. M. (2021). AI Courses for Secondary and High School — Comparative Analysis and Conclusions. CEUR Workshop Proceedings, 3061, 9–16 [in English].

Sabuncuoglu, A. (2020). Designing One Year Curriculum to Teach Artificial Intelligence for Middle School. In: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, (pp. 96–102), Association for Computing Machinery [in English]. https://doi.org/10.1145/3341525.3387364

Tedre, M. et al (2021). Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education. IEEE Access, 9, 110558–110572 [in English]. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9490241

Bondarenko, O. O., Lastovetskyi, V. V., Pylypchuk, O. P., & Shestopalov, E. A. (2019). Informatics (standard level). Textbook for the 10th (11th) grade of general secondary education. Kharkiv: Publisher “Ranok” [in Ukrainian].

«Computer Science. Curriculum for grades 10-11 (specialized training). Effective from 1 September, 2018. (2018). Informatik [in Ukrainian]. https://informatik.pp.ua/kabinet/programi/10-11-klasy/programa-informatyka-10- 11-klas-profilnyi-riven-2018

«Informatics». The curriculum of an elective compulsory subject for students in grades 10–11 of secondary schools (standard level). Effective from 1 September, 2018. (2018). Informatik [in Ukrainian]. https://informatik.pp.ua/kabinet/programi/10-11-klasy/programa-informatyka-10-11-klas-rivenstandartu-2018

Kryvonos, M. O., & Kryvonos, O. M. (2023). Application of ChatGPT in the Process of Teaching Programming at School. In: Proceedings of the 3rd all-Ukrainian scientific and technical conference of Young Scientists, Postgraduates and Students Computer Games and Multimedia as an Innovative Approach to Communication, October 28–29, 2023, Odesa (pp. 193–195). ONTU Publishing House [in Ukrainian].

Morse, N. V., & Barna, O. V. (2019). Informatics (standard level). Textbook for the 10th (11th) grade of general secondary education institutions. Kyiv: Publisher “Orion” [in Ukrainian].

Osadcha, K. P. (2024). Artificial Intelligence Competence: Definition and Structure. In: Proceedings of the International Scientific Conference Artificial Intelligence in Science and Education (AISE 2024), 1–2 March, 2024, Kyiv (386–389) [in Ukrainian].

Prysiazhniuk, O. V., Prysiazhniuk, I. V., & Knidze, M. I. (2023). Using the Ant algorithm visualization for elements of artificial intelligence investigation in the school course of informatics. Research Bulletin. Series: Issues of natural sciences, mathematics, technology and vocational education, 1, 29–34 [in Ukrainian]. https://doi.org/10.32782/cusu-pmtp-2023-1-4

Ryvkind, Y. Ya., Lysenko, T. I., Chernikova, L. A., & Shakotko, V. V. (2018). Informatics (standard level). Textbook for the 10th (11th) grade of general secondary education institutions. Publisher “Genesa” [in Ukrainian].

Rudenko, V. D., Rechych, N. V., & Potienko, V. O. (2019). Informatics (specialized level). Textbook for the 10th grade of general secondary education institutions. Kharkiv: Publisher “Ranok” [in Ukrainian].

Rudenko, V. D., Rechych, N. V., & Potienko, V. O. (2019). Informatics (standard level). Textbook for the 10th (11th) grade of general secondary education institutions. Kharkiv: Publisher “Ranok” [in Ukrainian].

Spivak, L. I., & Shmyger, G. P. (2024). Pedagogical aspects of using artificial intelligence at school. In: Proceedings of the Modern digital technologies and innovative teaching methods: experience, trends, prospects, 5 April, 2024, Ternopil (pp. 247–250).TNPU im. V. Hnatiuka [in Ukrainian].

Valko, N., Tynina, A. (2022). Fundamentals of artificial intelligence studying in the school course of informatics. Information Technologies in Education (ITE), 50, 59–69 [in Ukrainian].

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Published

2024-12-30

How to Cite

[1]
Osadchа K. and Osadchа M., “Learning the Basics of Artificial Intelligence in High School Computer Science Classes”, OD, vol. 47, no. 4, pp. 28–34, Dec. 2024.

Issue

Section

Digitalization of Education