{"id":4369,"date":"2025-03-04T11:26:49","date_gmt":"2025-03-04T10:26:49","guid":{"rendered":"https:\/\/mekruphy.com\/en\/?page_id=4369"},"modified":"2026-02-02T09:42:38","modified_gmt":"2026-02-02T08:42:38","slug":"experiment-set-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/mekruphy.com\/en\/products\/computer-science\/experiment-set-artificial-intelligence\/","title":{"rendered":"Experiment set Artificial Intelligence"},"content":{"rendered":"\n<div class=\"wp-block-advgb-adv-tabs advgb-tabs-wrapper advgb-tab-horz-desktop advgb-tab-vert-tablet advgb-tab-stack-mobile advgb-tabs-f435a4ae-2a7d-4d78-a6a8-be199c89db4a vertical-align-top\" data-tab-active=\"0\"><ul class=\"advgb-tabs-panel\" role=\"tablist\"><li class=\"advgb-tab advgb-tab-active\" role=\"presentation\" style=\"background-color:#e0e0e0;border-style:solid;border-width:1px;border-radius:10px\"><button class=\"advgb-tab-button\" id=\"advgb-tab-_97d998-55-0\" aria-controls=\"advgb-tab-panel-_97d998-55-0\" role=\"tab\" aria-selected=\"true\" tabindex=\"0\" style=\"color:#fff;background:none;border:none;width:100%;text-align:inherit;cursor:pointer;padding:8px 16px;font:inherit\"><span>DESCRIPTION<\/span><\/button><\/li><li class=\"advgb-tab \" role=\"presentation\" style=\"background-color:#e0e0e0;border-style:solid;border-width:1px;border-radius:10px\"><button class=\"advgb-tab-button\" id=\"advgb-tab-_97d998-55-1\" aria-controls=\"advgb-tab-panel-_97d998-55-1\" role=\"tab\" aria-selected=\"false\" tabindex=\"0\" style=\"color:#fff;background:none;border:none;width:100%;text-align:inherit;cursor:pointer;padding:8px 16px;font:inherit\"><span>CONTENTS<\/span><\/button><\/li><li class=\"advgb-tab \" role=\"presentation\" style=\"background-color:#e0e0e0;border-style:solid;border-width:1px;border-radius:10px\"><button class=\"advgb-tab-button\" id=\"advgb-tab-_97d998-55-2\" aria-controls=\"advgb-tab-panel-_97d998-55-2\" role=\"tab\" aria-selected=\"false\" tabindex=\"0\" style=\"color:#fff;background:none;border:none;width:100%;text-align:inherit;cursor:pointer;padding:8px 16px;font:inherit\"><span>EXPERIMENTS<\/span><\/button><\/li><li class=\"advgb-tab \" role=\"presentation\" style=\"background-color:#e0e0e0;border-style:solid;border-width:1px;border-radius:10px\"><button class=\"advgb-tab-button\" id=\"advgb-tab-_97d998-55-3\" aria-controls=\"advgb-tab-panel-_97d998-55-3\" role=\"tab\" aria-selected=\"false\" tabindex=\"0\" style=\"color:#fff;background:none;border:none;width:100%;text-align:inherit;cursor:pointer;padding:8px 16px;font:inherit\"><span>IMAGES<\/span><\/button><\/li><\/ul><div class=\"advgb-tab-body-wrapper\" style=\"border-style:solid;border-width:1px;border-radius:10px\">\n<div class=\"wp-block-advgb-tab advgb-tab-body-container\"><div class=\"advgb-tab-body-header advgb-tab-class- \" id=\"advgb-tab-panel-_97d998-55-0\" role=\"tabpanel\" aria-labelledby=\"advgb-tab-_97d998-55-0\" tabindex=\"0\"><span>DESCRIPTION<\/span><\/div><div class=\"advgb-tab-_97d998-55 advgb-tab-body\" aria-labelledby=\"advgb-tab-panel-_97d998-55-0\" style=\"display:none\">\n<p>The availability of large datasets, combined with increasingly powerful computers, has recently fueled the rise of Artificial Intelligence (AI) and enabled unprecedented developments \u2013 with all the associated opportunities and risks. This trend is also reflected in the curricula of many German federal states, where the topic of AI has already been introduced. As a result, there is an urgent need among teachers, which we aim to address with our experiment set.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>School Practice Combined with the Latest Scientific Insights<\/strong><\/h2>\n\n\n\n<p>We were able to partner with the University of W\u00fcrzburg: In collaboration with Dr. Silvia Joachim (<a href=\"https:\/\/www.informatik.uni-wuerzburg.de\/didaktik\/startseite\/\" target=\"_blank\" rel=\"noreferrer noopener\">Computer Science Didactics<\/a>, University of W\u00fcrzburg), who has extensive experience in school practice, we developed an experiment set that can be used in several grade levels depending on the curriculum and school type, providing a <a href=\"https:\/\/www.informatik.uni-wuerzburg.de\/didaktik\/aktivitaeten\/ki-experimentiersatz\/\" target=\"_blank\" rel=\"noreferrer noopener\">practical approach<\/a> to the new curriculum topic.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Wide Range of Experiments for Different Age Groups<\/strong><\/h2>\n\n\n\n<p>The \u201cAI Wins\u201d game serves as an introductory experiment that not only provides a playful entry but also offers the fascinating opportunity to observe the &#8220;AI system&#8221; learning, round by round. Far from the screen and computer, it becomes clear that there is no hidden program in the background; instead, it\u2019s a purely systematic approach that leads to results! This not only contributes to understanding but also helps &#8220;demystify&#8221; Artificial Intelligence and lays the foundation for a factual and experience-based approach to the topic.<\/p>\n\n\n\n<p>Through the wooden mushrooms, which feature various visible and tactile \u2013 binary and numerical \u2013 characteristics, students learn the fundamental principles of different algorithms: They create a decision tree with an algorithm and mathematically verify it using the mushrooms, which thus become a bridge between empirical experimentation and precise calculation.<\/p>\n\n\n\n<p>The classification into training, validation, test, and decision mushrooms allows for the optimization and testing of various models. The number of mushrooms was chosen to allow for both hands-on experimentation and the optimization of hyperparameters. The coordinates of the mushroom collection sites visually explain the <a href=\"https:\/\/www.ibm.com\/de-de\/topics\/knn\" target=\"_blank\" rel=\"noreferrer noopener\">k-nearest-neighbor algorithm<\/a> and the <a href=\"https:\/\/neuromant.de\/2018\/11\/25\/Tutorial_Das-Perzeptron\/\" target=\"_blank\" rel=\"noreferrer noopener\">perceptron<\/a>. Differentiation options expand the range of experiments to more advanced tasks for upper-level students.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Computer Science Meets Ethics<\/strong><\/h2>\n\n\n\n<p>The real-world connection of the partially edible and partially poisonous mushrooms also highlights the ethical dimension: How far can\/should one trust an algorithm (e.g., a mushroom-recognition app), and what responsibility does one take for oneself and others? How dangerous is Artificial Intelligence? Who is liable for errors?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Accompanying Materials<\/strong><\/h2>\n\n\n\n<p>Carefully prepared and practically tested experiment books and teacher guides ensure a relaxed work environment and experimentation without extensive preparation \u2013 even for spontaneous lessons. Depending on the age group, school type, and curriculum, students can engage in progressive learning games and experiments, or specific tasks can be selected and adjusted according to the differentiation options.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Also for Students with Visual Impairments<\/strong><\/h2>\n\n\n\n<p>Tactile features on the game pieces, wooden mushrooms and recessed areas in the decision tree module, as well as non-slip, stable base plates provide students with visual impairments with a &#8220;tangible&#8221; approach to the topic, even in inclusive classrooms. High-contrast, pleasantly tactile surfaces create a stimulating learning atmosphere through their &#8220;inviting character,&#8221; while also fostering a positive learning effect for &#8220;sighted&#8221; students.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Press Reports<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>30.11.2023 <a href=\"https:\/\/www.radiogong.com\/aktuelles\/news\/lokales\/wuerzburg-uni-entwickelt-ki-experimentierkasten-fuer-schulen\" target=\"_blank\" rel=\"noreferrer noopener\">W\u00fcrzburg: University Develops AI Experiment Kit for Schools<\/a> (Radio Gong)<\/li>\n\n\n\n<li>30.11.2023 <a href=\"https:\/\/www.meincharivari.de\/aktuelles\/news\/lokales\/wuerzburg-uni-entwickelt-ki-experimentierkasten-fuer-schulen\" target=\"_blank\" rel=\"noreferrer noopener\">W\u00fcrzburg: University Develops AI Experiment Kit for Schools<\/a> (Radio Charivari)<\/li>\n\n\n\n<li>05.12.2023 <a href=\"https:\/\/www.uni-wuerzburg.de\/aktuelles\/einblick\/single\/news\/ki-experimentiersatz\/\" target=\"_blank\" rel=\"noreferrer noopener\">Computer Science Didactics Develops Experiment Kit for Schools<\/a> (Julius-Maximilians-University W\u00fcrzburg)<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-advgb-tab advgb-tab-body-container\"><div class=\"advgb-tab-body-header advgb-tab-class- \" id=\"advgb-tab-panel-_97d998-55-1\" role=\"tabpanel\" aria-labelledby=\"advgb-tab-_97d998-55-1\" tabindex=\"0\"><span>CONTENTS<\/span><\/div><div class=\"advgb-tab-_97d998-55 advgb-tab-body\" aria-labelledby=\"advgb-tab-panel-_97d998-55-1\" style=\"display:none\">\n<figure class=\"wp-block-table table-of-contents advgb-dyn-8e18561b\"><table><tbody><tr><td>25.01.10    <\/td><td>Flat storage box<\/td><\/tr><tr><td>25.01.30<\/td><td>Lid with handle bar and coordinate system (training data)<\/td><\/tr><tr><td>74.01.00<\/td><td>Base plate KI-1-A &#8220;AI Wins&#8221;<\/td><\/tr><tr><td>74.02.00<\/td><td>Set of round game pieces (42 pieces)<\/td><\/tr><tr><td>74.03.00<\/td><td>Base plate KI-1-B &#8220;Decision Tree&#8221; (two-piece)<\/td><\/tr><tr><td>74.04.00<\/td><td>Set of mushrooms (16 pieces)<\/td><\/tr><tr><td>74.05.00<\/td><td>2x Set of large labels for decision tree (5 pieces each)<\/td><\/tr><tr><td>74.06.00<\/td><td>2x Set of small labels for decision tree (10 pieces each)<\/td><\/tr><tr><td>74.07.00<\/td><td>Base plate KI-1-C &#8220;5 x 5&#8221; with ruler<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Each order includes an experiment booklet and a teacher&#8217;s guide.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-advgb-tab advgb-tab-body-container\"><div class=\"advgb-tab-body-header advgb-tab-class- header-active\" id=\"advgb-tab-panel-_97d998-55-2\" role=\"tabpanel\" aria-labelledby=\"advgb-tab-_97d998-55-2\" tabindex=\"0\"><span>EXPERIMENTS<\/span><\/div><div class=\"advgb-tab-_97d998-55 advgb-tab-body\" aria-labelledby=\"advgb-tab-panel-_97d998-55-2\" style=\"display:block\">\n<figure class=\"wp-block-table table-of-experiments vertical-align-top\"><table><tbody><tr><td>AI 1-4:<\/td><td>AI Wins \u2013 A Learning Game<br><em>(Reinforcement Learning)<\/em><\/td><\/tr><tr><td>AI 5-12:<\/td><td>The Decision Tree Algorithm<br><em>(Classification, Creating a Decision Tree,<br>Optimizing Tree Depth, Evaluation with Test Data,<br>Determining Training Data Accuracy Depending on Tree Depth)<\/em><\/td><\/tr><tr><td>AI 13-15:<\/td><td>The k-Nearest Neighbors Algorithm<br><em>(Optimization of k)<\/em><\/td><\/tr><tr><td>AI 16-17:<\/td><td>The Perceptron \u2013 Artificial Neuron<br><em>(Perceptron and Delta Learning Rule, Decision Boundary)<\/em><\/td><\/tr><tr><td>AI 18-19:   <\/td><td>Additional Experiments \u2013 Fundamentals<br><em>(Greedy Algorithm, 5\u00d75 Encoding)<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-advgb-tab advgb-tab-body-container\"><div class=\"advgb-tab-body-header advgb-tab-class- \" id=\"advgb-tab-panel-_97d998-55-3\" role=\"tabpanel\" aria-labelledby=\"advgb-tab-_97d998-55-3\" tabindex=\"0\"><span>IMAGES<\/span><\/div><div class=\"advgb-tab-_97d998-55 advgb-tab-body\" aria-labelledby=\"advgb-tab-panel-_97d998-55-3\" style=\"display:none\">\n<figure class=\"wp-block-coblocks-gallery-masonry masonry-grid has-lightbox has-medium-gutter\">\n<figure class=\"wp-block-image size-large masonry-brick\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"480\" src=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-4.webp\" alt=\"Image gallery image\" class=\"wp-image-4392\" srcset=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-4.webp 720w, https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-4-300x200.webp 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large masonry-brick\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"480\" src=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-2.webp\" alt=\"Image gallery image\" class=\"wp-image-4390\" srcset=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-2.webp 720w, https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-2-300x200.webp 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large masonry-brick\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"480\" src=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-3.webp\" alt=\"Image gallery image\" class=\"wp-image-4391\" srcset=\"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-3.webp 720w, https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Experimente-2023-3-300x200.webp 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/figure>\n<\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n<style class=\"advgb-styles-renderer\">.advgb-tabs-f435a4ae-2a7d-4d78-a6a8-be199c89db4a ul.advgb-tabs-panel li.advgb-tab.advgb-tab-active {background-color:#5954d6 !important;color:#fff !important;}#advgb-tabs-f435a4ae-2a7d-4d78-a6a8-be199c89db4a .advgb-tab-body-header.header-active, .advgb-tabs-f435a4ae-2a7d-4d78-a6a8-be199c89db4a .advgb-tab-body-header.header-active{background-color:#5954d6 !important;color:#fff 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9:42"},"featured_img_caption":"","featured_img":"https:\/\/mekruphy.com\/en\/wp-content\/uploads\/2025\/03\/KI-Kasten-1024x804-1.jpg","series_order":"","_links":{"self":[{"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/pages\/4369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/comments?post=4369"}],"version-history":[{"count":18,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/pages\/4369\/revisions"}],"predecessor-version":[{"id":4455,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/pages\/4369\/revisions\/4455"}],"up":[{"embeddable":true,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/pages\/4359"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/media\/4385"}],"wp:attachment":[{"href":"https:\/\/mekruphy.com\/en\/wp-json\/wp\/v2\/media?parent=4369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}