{"id":4688,"date":"2024-01-10T15:07:53","date_gmt":"2024-01-10T14:07:53","guid":{"rendered":"https:\/\/kurikulum.aidetem.cz\/ai-for-computer-science-at-level-2\/"},"modified":"2025-09-08T19:26:51","modified_gmt":"2025-09-08T17:26:51","slug":"ai-for-computer-science-secondary-schoo","status":"publish","type":"page","link":"https:\/\/kurikulum.aidetem.cz\/en\/ai-for-computer-science-secondary-schoo\/","title":{"rendered":"Comprehensive AI Learning Concept for Secondary School Computer Science\u200b"},"content":{"rendered":"\t\t
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AI in Computer Science in Secondary Schools<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A comprehensive AI education concept for computer science at the elementary and secondary school levels is structured into three levels. The recommended starting point is the interactive story William & Meriwether<\/u><\/a> (soon to be translated). Through this story, students gain a basic understanding of key areas such as data, devices, machine learning, and bias.

\n\nTo deepen and expand their knowledge, students work with so-called cards<\/a>. Each card represents a core concept of artificial intelligence and is part of a set. The cards build on each other, and it is recommended to go through them in sequence along with the activities included in the set.

\n\nFor a deeper understanding of machine learning, a project-based textbook Machine Learning for Kids<\/u><\/a>. is available.\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The way we explain the theoretical concept of AI and machine learning is based on the differences between an algorithmic approach and a machine learning approach. These differences are summarized in the table below, based on the research<\/a> by Matti Tedre and Henriikka Vartiainen:\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Algorithmic Approach<\/b><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Defining the problem<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Designing a solution as an algorithm<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Implementing the solution step by step\t<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Compiling, running, and testing the program<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Machine Learning Approach<\/b><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Describing the problem and collecting data<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Cleaning, processing, and annotating data<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\tTraining a machine learning model<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Testing the model and refining both the model and dataset<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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William & Meriwether (coming soon)
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The recommended entry point into the topic of artificial intelligence in computer science is the well-tested interactive story William & Meriwether. Through playful learning, it leads to four educational goals:

\n\n1) Identify and provide real-world examples of data.
2) Describe devices used for data collection.
3) Define machine learning with teacher guidance.
4) Explain the concept of bias in AI.

\nDuration: 3 × 45 minutes
\nTarget group: Students aged 11 and up
\nTeaching materials: Lesson 1<\/a>, Lesson 2<\/a>, Lesson 3<\/a>
\nWebinar: Teaching Online<\/a>\n

The story is ready to be played. Before the lesson, it is important to review the teaching materials and print the worksheets.\n<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Concept Cards<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The cards are teaching materials designed for classroom activities. Each card represents a key concept of artificial intelligence and is part of a set that includes other cards. The cards build on each other, and it is recommended to work through all activities in the set sequentially.\n<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Dataset Deck (2\u00d745 minutes)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Machine Learning Deck (4\u00d745 minutes)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Ethics Deck (2\u00d745 minutes)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Machine Learning for Kids \u2014Textbook<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Textbook: Machine Learning for Kids<\/strong>

\n\nA hands-on, project-based textbook that helps children understand what machine learning is and how it works. It includes 13 projects in which students train machine learning models and immediately test how they can be used within the Scratch programming platform.

\n\nThe textbook is intended for children aged 12 and up and uses the free online environment Machine Learning for Kids<\/em>.

\n\n\n+ Designed for students aged 12+
\n+ Uses the free Machine Learning for Kids<\/u><\/a> platform<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tOrder textbook (Amazon)<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Introductory webinar (currently in Czech only)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tGo to the homepage<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

AI in Computer Science in Secondary Schools A comprehensive AI education concept for computer science at the elementary and secondary school levels is structured into three levels. The recommended starting point is the interactive story William & Meriwether (soon to be translated). Through this story, students gain a basic understanding of key areas such as data, devices, machine learning, and bias. To deepen and expand their knowledge, students work with so-called cards. Each card represents […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4688","page","type-page","status-publish","hentry"],"yoast_head":"\nComprehensive AI Learning Concept for Secondary School Computer Science\u200b<\/title>\n<meta name=\"description\" content=\"Methodological materials for AI in computer science classes\u2014a comprehensive AI learning concept for secondary school computer science\u200b.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kurikulum.aidetem.cz\/en\/ai-for-computer-science-secondary-schoo\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comprehensive AI Learning Concept for Secondary School Computer 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