🔹 000101A: AI Literacy Foundations
Code: A A thorough introduction to the fundamental ideas of artificial intelligence, such as data analysis, generative AI, and ethics. The five fundamental principles of artificial intelligence (AI)—data understanding, representation, learning, analysis, and impact—as well as the distinctions between symbolic AI and machine learning are all covered by teachers. Using resources like ChatGPT and Scikit-learn, the program incorporates critical conversations, design thinking exercises, and classroom case studies.
Reference: Teachers College
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🔹 000102B: Ethics and Equity in AI Education
Code: B The description is as follows: Algorithmic bias, privacy issues, accountability, and transparency are the main ethical issues in educational AI that are covered in this course. It teaches techniques to identify improper use of AI tools and highlights how to rethink test questions and assessments to prevent blind reliance on AI outputs.
Source: upEducators, Tech & Learning
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🔹 000103C AI Curriculum Co-Design Workshop
Code: C The description is as follows: A collaborative workshop where curriculum designers and educators use peer-reviewed models to incorporate AI concepts into existing subjects like science, math, and moral education. Using resources like Jupyter Notebook and AI lesson planners, educators can create instructional units with precise learning goals and quantifiable results.
Reference: arXiv
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🔹 000104D: AI Profiling for Personalized PD
Code: D The description is as follows: This course teaches how to assess teachers' professional strengths, like classroom interaction and tech adoption, using AI profiling systems. It creates customized professional development plans with cutting-edge modules and advice on how to get better.
Tools: Edthena, 21st Century Ed
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🔹 000105E: AI for Prompt Engineering & Lesson Planning
Code: E The description is as follows: focuses on how educators can use structured prompts for AI language models such as ChatGPT and Claude to create engaging lesson content. Examples of creating summaries, comprehension questions, and exam designs are provided.
Source: upEducators, Teachfloor
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🔹 000106F: AI Imagery for Visual Instruction
Code: F The description is as follows: discusses the creation of educational visual aids (diagrams, posters, interactive VR) using intelligent image generators such as DALL·E and Midjourney. Teachers gain the ability to visually communicate abstract, mathematical, and scientific ideas in an interesting way.
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🔹 000107G - AI-Powered Evaluation & Commentary
Code: G Professional training on the use of AI-based evaluation tools like Lycit and Khanmigo, as well as anti-plagiarism and AI-detection platforms like GPTZero. Real-time feedback systems and hybrid assessment development are prioritized.
Source: upEducators, Tech & Learning
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🔹 000108H - AI-Powered Data Analytics for Student Advancement
Code: H Uses data analysis tools to forecast academic difficulties, assess student performance, and create AI-powered interventions. includes practical instruction in the use of sophisticated EdTech tools, Excel, PowerBI, and Google Classroom Analytics.
Source: Online Degrees at the University of San Diego
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🔹 000109I: Design of Adaptive Learning Paths
Code: I Description: Using tools like SchoolAI and MagicSchool AI, educators can create dynamic, individualized learning pathways. These programs automatically recommend relevant content and monitor student performance.
Source: CT Insider, Teachfloor
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🔹 000110J: AI for Classroom Administration
Code: J The description is as follows: emphasizes the use of AI tools for class management duties such as digital organization, behavior tracking, attendance, and reminders. includes features for notifications, performance reports, and automatic transcription.
Source: Tech & Learning, EdTechTeacher
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🔹 000111K - Developing AI-Powered Teamwork Initiatives
Code: K The description is as follows: helps educators incorporate AI into group student projects like creating chatbots or simulating science in virtual reality. offers readily usable resources and instructional design strategies.
Source: EdTechTeacher, ISTE
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🔹 000112L: AI Tools for Accessibility & Special Needs
Code: L The description is as follows: This course, which focuses on inclusive education, examines technologies that can help students with visual or auditory impairments, such as text-to-speech, speech-to-text, and immersive readers.
Tools: Microsoft Immersive Reader, DyslexiScan Source: ISTE
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🔹 000113M: AI and Design Thinking for Creative Thinking
Code: M Using design thinking techniques and "what if" scenario analysis, this course teaches educators how to use generative AI to encourage students' creativity and critical thinking. Source: Coursera
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🔹 000114N: AI in Robotics & STEM Coding
Code: N Explains the basics of programming (Python, Scratch) and artificial intelligence for science and technology projects like pattern recognition models and smart robotics. Ideal for high school and middle school environments.
Reference: STEMpedia
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🔹 000115O: Pioneering AI Integration
Code: O Gives school leaders the tools they need to create AI strategies, put policies into place, oversee digital transformation, and involve parents and stakeholders in AI-driven learning.
Reference: EdTechTeacher, Time, The Australian
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🔹 000116P: AI National Standards Implementation
Code: P In order to assist teachers in aligning their lessons with AI literacy goals, the program reviews and applies national frameworks such as NSF and ISTE standards to classroom practices.
Source: ISTE, AI Undetectable
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🔹 000117Q: Teacher AI Starter Kit (Hands-on)
Code: Q A one-day bootcamp that covers the fundamentals of artificial intelligence (AI) (prompts, bias, and generative AI) with supervised practice using programs like Microsoft Copilot, MagicSchool, ChatGPT, and Khanmigo.
Reference: Tech & Learning
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🔹 000118R: Writing Grants for AI Education Initiatives
Code: R With an emphasis on planning, budgeting, and storytelling, this course teaches educators and coordinators how to craft strong grant applications for AI-enhanced education.
Source: AI Undetectable by Kiplinger
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🔹 000119S: Developing AI Courses with Co-Design
Code: S A comprehensive program for creating AI-integrated lesson units in collaboration with researchers and teachers through participatory workshops and inquiry-based learning.
Source: Wikipedia, arXiv
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🔹 000120T: Virtual AI Learning Environments
Code: T With the help of VR and AR tools like ClassVR, educators can create virtual AI-powered learning environments that provide students with realistic science and other subject simulations.