Using Machine Learning to Enhance Interaction and Creativity Among Children By Using The Scratch And Mblock Programming Languages and Many Different Kids’ Machine Learning Platforms For Designing A.I Programs

Artificial intelligence (AI) and machine learning (ML) technologies have experienced substantial growth in the last decade, affecting billions of individuals across all facets of contemporary life. This trend of AI's expanding influence is expected to persist. The increasing significance of AI and ML in computer science and society supports the integration of AI and ML principles at an early stage.ML can be made more approachable and interesting for children by utilizing beginner-friendly kids’ programming languages like scratch. We design models for incorporating machine learning techniques using scratch and mblock programming languages to recognize images and text. These models are created using web-based cloud service tools such as "Machine Learning for Kids" and "teachable machine," as well as programming using Scratch 3 programming language and mblock programming language. The proposed methodology is introduced to 5th and 4th grade classrooms in Alhijragroup education in Iraq through provided practical exercises involving the creation of models that can recognize images and text. The survey shows that the best practices for incorporating machine learning into 5th grade classrooms are so that students can actively participate in their own learning and develop their own unique ideas for artificial intelligence (A.I) programs using different platforms. Alhijragroup education students are familiarized with the concept of machine learning through the summer course provided to them by IOTKIDS Company in Iraq. The survey shows that the F parameter is confidence which means every increase in the importance of artificial intelligence (the independent axis X) is linked to a similar increase in the quality of education (the dependent axis Y). The correlation between the two axes is very strong. These output modules are designed by using a special computer equipped with GPU memory Nividia Geforce RTX 2060 6G, IBM SPSS Statistics and Microsoft Excel 2010 programs.