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AI Policy & Tool Finder: A Curated Guide to Enhance Teaching, Learning, and Accessibility



As artificial intelligence (AI) becomes increasingly integrated into educational settings, the development of clear and responsible AI policies has become essential. These policies aim to ensure that AI tools are used ethically, equitably, and effectively, safeguarding student privacy and promoting academic integrity.​

Educators and policymakers seeking up-to-date information on AI in education can refer to several key resources:​

AI in Education

  • In the educational sector, the report notes a slight increase in U.S. high school computer science (CS) course enrollment. However, disparities persist based on factors such as state, race, and income. Notably, while 81% of CS teachers agree on the importance of including AI in foundational CS education, less than half feel equipped to teach AI content. Globally, two-thirds of countries now offer or plan to offer K–12 CS education, doubling since 2019, with significant progress in African and Latin American nations. The number of U.S. graduates earning master's degrees in AI nearly doubled between 2022 and 2023, indicating a growing interest in advanced AI education AI in Education


Given the fast pace of AI, it is imperative to staying informed about policy updates and AI development. The linked spreadsheet, “AI Tools for Educators" serves as a curated directory of AI tools categorized to assist educators in various domains.The spreadsheet is organized into the following categories:​

  1. AI Accessibility: Tools designed to enhance accessibility for learners with diverse needs.​

  2. AI Enhancements: Applications that augment teaching and learning experiences through AI-driven features.

  3. AI for Coding: Resources that support coding education and programming instruction

  4. AI for Educators: General AI tools tailored for educators to streamline tasks and improve efficiency.​

  5. AI for History: Tools that assist in teaching and exploring historical content.​

  6. AI for Languages: Applications focused on language learning and instruction.​

  7. AI for Math: Resources aimed at enhancing mathematics education through AI.​

  8. AI for Science: Tools that support science teaching and experimentation.​

  9. AI Grading: Applications that facilitate automated grading and assessment.​

  10. AI Policy Updates: Information on the latest developments and policies related to AI in education.​

  11. AI Workflow Optimization: Tools designed to optimize educational workflows and administrative tasks.​

Each category likely contains specific tools or resources relevant to its theme, providing educators with a comprehensive guide to integrating AI into their teaching practices.

Link to spreadsheet here



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DelMarVa Digital Learning, Inc

d/b/a DelMarVa Distance Learning Association

info@delmarvadla.org

(302)-497-4285

State Chapter of the United States Distance Learning Association​

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