USING THE ANT ALGORITHM VISUALIZATION FOR ELEMENTS OF ARTIFICIAL INTELLIGENCE INVESTIGATION IN THE SCHOOL COURSE OF INFORMATICS
DOI:
https://doi.org/10.32782/cusu-pmtp-2023-1-4Keywords:
school course of informatics, practical tasks, artificial intelligence, ant algorithm.Abstract
The school course of informatics differs from other disciplines studied by modern students. It is more and more flexible to react to current achievements in computer science and information technology. However, the introduction of new educational topics and new software requires detailed methodological processing and development of the appropriate methodological system. The article analyzes the possibility of using elements of artificial intelligence as a material for students to study students within the current school curriculum and master their modern competencies. Some aspects of the use of modern achievements in artificial intelligence for education are considered. The problem of choosing the content of educational material and picking up of practical tasks for the formation of appropriate competencies is very urgent. The new realities declared in the Concept of artificial intelligence development in Ukraine require an increase in the share of artificial intelligence materials in the school of computer science. The authors suggest to use the ant algorithm to visual familiarize students with models, built on the principles of artificial intelligence. The article shows the role of the use of natural models of swarm intelligence to form the basic conceptual apparatus of artificial intelligence for students; the factors that determine the ant algorithm as a promising training trend for the study of artificial intelligence elements in the study of computer science in the upper classes are considered. Examples of research tasks that use online service developed to visualize the Ant algorithm are given.
References
Dogan M.E., Goru Dogan T., Bozkurt A. The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies.Applied Sciences. 2023. № 13 (5). Р. 3056. URL: https://doi.org/10.3390/app13053056https://www.mdpi.com/2076-3417/13/5/3056.
Baidoo-Anu D., Owusu Ansah L. Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. 2023. Available at SSRN 4337484. URL: https://www.researchgate.net/profile/David-Baidoo-Anu-2/publication/369385210_ Education_in_the_Era_of_Generative_Artificial_Intelligence_AI_Understanding_the_Potential_ Benefits_of_ChatGPT_in_Promoting_Teaching_and_Learning/links/64313605ad9b6d17dc44b6ea/ Education-in-the-Era-of-Generative-Artificial-Intelligence-AI-Understanding-the-Potential-Benefits-of- ChatGPT-in-Promoting-Teaching-and-Learning.pdf.
Інформатика : навчальна програма вибірково-обов’язкового предмету для учнів 10–11 класів загальноосвітніх навчальних закладів (рівень стандарту). URL: https://mon.gov.ua/storage/app/media/ zagalna%20serednya/ programy-10-11-klas/2018-2019/informatika-standart-10-11.docx.
Інформатика (рівень стандарту) : підручник для 10 (11) кл. закл. заг. серед. освіти / Н.В. Морзе, О.В. Барна. Київ : УОВЦ «Оріон», 2018. 240 с.
Інформатика (рівень стандарту) : підручник для 10-го (11-го) кл. закл. заг. серед. освіти / Й.Я. Ривкінд. Київ : Генеза, 2018. 144 с.
Інформатика (рівень стандарту) : підручник для 10 (11) кл. закл. заг. серед. освіти / О.О. Бондаренко, В.В. Ластовецький, О.П. Пилипчук, Є.А. Шестопалов. Харків : Вид-во «Ранок», 2019. 176 с.
Інформатика (рівень стандарту) : підручник для 10-го (11-го) кл. закл. заг. серед. освіти / В.Д. Руденко, Н.В. Речич, В.О. Потієнко. Харків : Вид-во «Ранок», 2018. 160 с.
Тиніна А.Л., Валько Н.В. Вивчення основ штучного інтелекту в шкільному курсі інформатики. Information Technologies in Education. 2022. № 1 (50) с. 59–69. URL: http://ekhsuir.kspu.edu/bitstream/ handle/123456789/17803/4.pdf?sequence=1.
Про схвалення Концепції розвитку штучного інтелекту в Україні : Розпорядження Кабінету Міністрів України від 10 листопада 2021. № 1556-р. URL: https://zakon.rada.gov.ua/laws/show/1556-2020-р#Text.
Chaka C. Fourth industrial revolution—a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning. 2023. № 18.
Karalekas G., Vologiannidis S., Kalomiros J. Teaching Machine Learning in K–12 Using Robotics. Education Sciences. 2023. № 13 (1). Р. 67.
Su J., Guo K., Chen X., Chu S.K.W. Teaching artificial intelligence in K–12 classrooms: a scoping review. Interactive Learning Environments, 2023. URL: https://www.tandfonline.com/doi/abs/10.1080/ 10494820.2023.2212706.
Beni G. From Swarm Intelligence to Swarm Robotics. Proc. of Workshop on Swarm Robotics, 8th Int'l Conf. on Simulation of Adaptive Behavior (SAB '04), July 13–17, 2004, Los Angeles, USA. To be published in Lecture Notes in Computer Science, Springer-Verlag.
Dorigo M., Stützle T. The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances. In: Glover, F., Kochenberger, G.A. (eds) Handbook of Metaheuristics. International Series in Operations Research & Management Science, vol 57. Springer, Boston, MA. 2003. URL: https://doi. org/10.1007/0-306-48056-5_9.
