Understanding AI Basics | Origin: ED160
This is a general discussion forum for the following learning topic:
AI Literacy: Foundations for CTE Educators --> Understanding AI Basics
Post what you've learned about this topic and how you intend to apply it. Feel free to post questions and comments too.
Still pretty new to AI and this module help me understand the complexity in simpler terms
Que bien, ya usaba la IA, pero me faltaba formalizar su entendimiento!
I have learned that building AI is like building a house; you need 3 things: instructions/blueprints (algorithm), raw materials (data), and computing power (construction crew). Using AI effectively and ethically involves 3 pillars: Conceptual Understanding (Head), Practical Application (hands), and Responsible Use (heart).
What I learned most from this topic is that AI literacy is really about using AI with good judgment, not just knowing what it is. I liked the idea of Tell, Team, and Trust because it made AI feel more practical and easier to apply in real-life work. Moving forward, I plan to use AI more intentionally as a tool to support my work, while still making sure I review things carefully for accuracy and appropriateness. As an educator, I think it’s also important to model responsible AI use so students learn to use it wisely, not depend on it blindly.
I have extensive training in developing AI and use it every day. But this module helped me understand it in simpler terms so that I can get a better grasp on how to explain it and how I use it.
I am just beginning to get a grasp on how AI works. I haven't used it enough to know if I can responsibly direct it to perform an action.
From this module, I learned that using AI appropriately can help instructors enhance their teaching, especially in online courses and simulation-based learning activities.
I have learned that AI provides alot of knowledge faster than people can but may sometimes have outdated information but does also provide clear reliable information to my students and myself
This module gave me a new way to communicate AI concepts to others. The apprentice analogy and the Tell–Team–Trust framework simplify complex ideas without losing technical accuracy. It reminded me that AI literacy isn't just about algorithms—it's about knowing when to direct, collaborate, or delegate, and always grounding use in responsibility.
I'll use the Tell–Team–Trust framework with my students to help them think strategically about AI deployment, not just code models. I'll also integrate the three pillars into my teaching—moving beyond technical instruction to include responsible use and practical judgment—so my students graduate as both builders and thoughtful users of AI.
AI can be very confusing, and it can be such a help
I have learned that... In distance education, this mindset helps students stop seeing AI as "magic" and start seeing it as a manageable tool.
It was very helpful to understand how AI is created and what underlying limitations are.
How using AI resembles a team approach.
Given appropriate input, AI can help provide differentiated activities for students in my classroom.
AI can help me create lesson plans to ensure I meet the objectives for that class
From this module, I learned that the appropriate use of AI can support instructors in delivering more effective teaching, particularly in online classes and simulation scenarios.
From this module, I learned that using AI effectively requires understanding how it works, applying it in practical ways, and using it responsibly. Clear prompts and reviewing AI outputs are essential to get accurate results. I intend to apply this knowledge in my work in education by using AI to support communication, generate ideas, and improve efficiency while always reviewing its content and using it ethically.
Learning how to enter prompts into AI and understanding the Why/How/What on how to use AI matters.
Understanding that learning AI will be an added tool to better teach phlebotomy with. organizing skills for better teaching abilities.
