{"id":4247,"date":"2026-01-28T14:24:23","date_gmt":"2026-01-28T14:24:23","guid":{"rendered":"https:\/\/infobymattcole.com\/?page_id=4247"},"modified":"2026-02-01T21:29:03","modified_gmt":"2026-02-01T21:29:03","slug":"oklahoma-ai-academic-standards-comprehensive-resource-guide","status":"publish","type":"page","link":"https:\/\/infobymattcole.com\/index.php\/oklahoma-ai-academic-standards-comprehensive-resource-guide\/","title":{"rendered":"Oklahoma AI Academic Standards: Comprehensive Resource Guide"},"content":{"rendered":"\t\t
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High School Level 1 (Grades 9-10)<\/h1>\n\n\n\n
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OAS Standard<\/th>\nDescription<\/th>\nResource<\/th>\n<\/tr>\n<\/thead>\n
L1.ET.AI.01<\/strong><\/td>\nAnalyze and compare different artificial intelligence (AI) architectures and their applications. Practice: Developing and Using Abstractions<\/em><\/td>\n\u2022 AI Architectures & Applications Unit<\/a>
\u2022 Machine Learning Training Unit<\/a>
\u2022 NLP & Text Analysis Unit<\/a>
\u2022 Computer Vision & Image Processing Unit<\/a>
\u2022 AI Ethics & Responsible Development Unit<\/a>
\u2022 AI Real-World Applications Unit<\/a>
\u2022 Data Science & AI Decision Making Unit<\/a>
\u2022 Deep Learning & Advanced Techniques Unit<\/a>
\u2022 AI Development Tools & Frameworks Unit<\/a>
\u2022 Complete 9-Unit Bundle<\/a><\/td>\n<\/tr>\n
L1.ET.AI.02<\/strong><\/td>\nExplore, select, and use appropriate AI tools and frameworks to design and implement AI solutions. Practice: Creating Computational Artifacts<\/em><\/td>\n\u2022 AI Tools & Frameworks Unit (Version 1)<\/a>
\u2022 AI Tools & Frameworks Unit (Version 2)<\/a><\/td>\n<\/tr>\n
L1.ET.AI.03<\/strong><\/td>\nEvaluate the societal implications of AI technologies, including privacy and security concerns. Practice: Communicating About Computing<\/em><\/td>\nAI Privacy & Security Unit<\/a><\/td>\n<\/tr>\n
L1.ET.AI.04<\/strong><\/td>\nDemonstrate how AI systems can be trained and optimized using different learning techniques. Practice: Testing and Refining Computational Artifacts<\/em><\/td>\nOAS L1.ET.AI.04-Aligned Unit<\/a><\/td>\n<\/tr>\n
L1.ET.AI.05<\/strong><\/td>\nCreate and evaluate model cards or documentation that explain AI system capabilities, limitations, and intended uses. Practice: Communicating About Computing<\/em><\/td>\nAI Model Cards & Documentation Unit<\/a><\/td>\n<\/tr>\n
L1.ET.AI.06<\/strong><\/td>\nAnalyze how AI systems represent and reason with different data modalities (text, images, audio, video). Practice: Developing and Using Abstractions<\/em><\/td>\nAI Data Modalities Unit<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n
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High School Level 2 (Grades 11-12)<\/h2>\n\n\n\n
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OAS Standard<\/th>\nDescription<\/th>\nResource<\/th>\n<\/tr>\n<\/thead>\n
L2.ET.AI.01<\/strong><\/td>\nDesign and develop complex artificial intelligence (AI) systems that incorporate multiple types of learning approaches. Practice: Creating Computational Artifacts<\/em><\/td>\n\u2022 AI System Architecture Unit<\/a>
\u2022 Supervised Learning Unit<\/a>
\u2022 Unsupervised Learning Unit<\/a>
\u2022 Reinforcement Learning Unit<\/a>
\u2022 Transfer Learning & Model Adaptation Unit<\/a>
\u2022 AI System Design Principles Unit<\/a>
\u2022 AI System Design Bundle<\/a><\/td>\n<\/tr>\n
L2.ET.AI.02<\/strong><\/td>\nDesign AI solutions that embed fairness, transparency, privacy, sustainability, and bias mitigation from problem scoping through deployment. Practice: Creating Computational Artifacts<\/em><\/td>\nEthical AI Design Unit<\/a><\/td>\n<\/tr>\n
L2.ET.AI.03<\/strong><\/td>\nCreate AI solutions that interact with and adapt to human feedback. Practice: Creating Computational Artifacts<\/em><\/td>\nAdaptive AI Systems Unit<\/a><\/td>\n<\/tr>\n
L2.ET.AI.04<\/strong><\/td>\nEvaluate and optimize AI systems for efficiency, accuracy, and adherence to ethical principles. Practice: Testing and Refining Computational Artifacts<\/em><\/td>\nEvaluating and Optimizing AI Systems Unit<\/a><\/td>\n<\/tr>\n
L2.ET.AI.05<\/strong><\/td>\nEvaluate and document AI solutions, explaining ethical safeguards, environmental impacts, limitations, and intended uses to different stakeholders. Practice: Communicating About Computing<\/em><\/td>\nAI Solutions Evaluation & Documentation Unit<\/a><\/td>\n<\/tr>\n
L2.ET.AI.06<\/strong><\/td>\nDevelop methods to explain AI decision-making processes and their ethical implications (e.g., fairness, transparency, and intellectual property) to different stakeholders. Practice: Communicating About Computing<\/em><\/td>\nAlgorithmic Bias Detection Unit<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n
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Related Computer Science Standards<\/h2>\n\n\n\n
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OAS Standard<\/th>\nDescription<\/th>\nResource<\/th>\n<\/tr>\n<\/thead>\n
L1.CS.D.01<\/strong><\/td>\nComputing Abstractions: Understanding how computing systems use abstraction to manage complexity and enable problem-solving across different levels of a system.<\/td>\nComputing Abstractions Unit<\/a><\/td>\n<\/tr>\n
L1.CS.HS.01<\/strong><\/td>\nSoftware Abstraction Layers: Analyzing how software systems organize functionality into distinct layers to manage complexity and enable modular design.<\/td>\nSoftware Abstraction Layers Unit<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n
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Implementation Notes<\/h2>\n\n\n\n

These competencies complement the 2023 Oklahoma Academic Standards for Computer Science (OAS-CS) by providing grade-specific learning targets for AI literacy. The framework progresses from foundational concepts in elementary grades through advanced AI system design and ethical considerations in high school.<\/p>\n\n\n\n

Key Computational Thinking Practices:<\/strong><\/p>\n\n\n\n