Cloud technologies for basics of artificial intelligence study in school

Abstract

Changes in society related to the development of science, technology, computing power, cloud services, artificial intelligence, increasing general access to huge amounts of open data, lead to increased global investment in technology and services. Appropriate training is required by specialists to create a workforce to work with artificial intelligence. On the one hand, it puts forward new requirements for the training of young people, and educational content, on the other hand, provides opportunities for the use of cloud technologies during the educational process. Widespread use of AI in various fields and everyday life poses the task of understanding the basic terms related to Artificial intelligence (AI), such as Machine learning (ML), Neural network (NN), Artificial neural networks (ANN), Deep Learning, Data Science, Big Data, mastering the basic skills of using and understanding the AI principles, which is possible during the study in the school course of computer science. Cloud technologies allow you to use the power of a remote server (open information systems, digital resources, software, etc.) regardless of the location of the consumer and provide ample opportunities for the study of artificial intelligence. In this article we reveal the possibilities of cloud technologies as a means of studying artificial intelligence at school, consider the need for three stages of training and provide development of tasks and own experience of using cloud technologies to study artificial intelligence on the example of DALL-E, Google QuickDraw, cloud technologies Makeblock, PictoBlox, Teachable Machine at different stages of AI study.

Proceedings of the 9th Workshop on Cloud Technologies in Education (CTE 2021). Kryvyi Rih, Ukraine, December 17, 2021

“…regardless of the location of the consumer and provide ample opportunities for the study of artificial intelligence. In article "Cloud technologies for basics of artificial intelligence study in school" [108] Nataliia V. Valko, Tatiana L. Goncharenko, Nataliya O. Kushnir (figure 13) and Viacheslav V. Osadchyi reveal the possibilities of cloud technologies as a means of studying artificial intelligence at school, consider the need for three stages of training and provide development of tasks and own experience of using cloud technologies to study artificial intelligence on the example of DALL-E, Google QuickDraw, cloud technologies Makeblock, PictoBlox, Teachable Machine at different stages of AI study.…”

Institutional Policies on Artificial Intelligence in University Learning, Teaching and Research

“…Among the 209 documents belonging to social field, the majority (54%) is dedicated to educational issues (Fig. 1), on the one hand, these are positive aspects of using chatbots in different subjects [7,8], including finance [9], on the other hand, these are various problems, "including fraud, honesty and truthfulness of ChatGPT, deception and manipulation" [10].…”