I learned about exploring implications and widening parameters to integrate activities for everyone

Getting students to use their critical thinking skills is vital to their growth in a career in the future

Online learning can be engaging with the right activities and assignments

Online learning is a good resource, but hands on learning will always be superior in trades.

ChatGPT is a good learning tool for both students and teachers 

AI seems to me like a massive lake that fed by several non-stop rivers. Every day, a new information and /or apps related to AI. AI become a major tool in most of life aspects especially in education. Therefore, we, as Instructors, should pay more cautions to what to share with our students.    

Comment on Wendy Hopper's post: What area do you teach in? And which sim tool do you use? 

I'm really interested in how people are using AI for long-term projects. I'm also interested in simulators and adaptive tools that programs may be using. We haven't gone much beyond using Gemini in our school- and all software/tech decisions have to be approved by our technology department. We can't just sign contracts and purchase tech without going through a lengthy review process.

What tools have your teams invested in? Which ones have worked well? Which seem worth the effort to maintain?

What I've Learned

Building a sustainable planning system means creating repeatable workflows, choosing the right AI approach (Tell vs. Team) for the task, and integrating ethical checks throughout the design process. Measuring efficiency isn't just about saving time; it's about reducing cognitive overload to focus on high-impact instructional quality.

How I Intend to Apply It

I will establish systematic templates for frequent design tasks, set built-in verification checkpoints for privacy and accuracy, and evaluate time savings to ensure my AI workflow remains practical long-term.

Discussion Question

What specific strategies or templates have helped you build a consistent, long-term AI workflow… >>>

What I've Learned

Solving complex design problems requires moving beyond simple generation into true human-AI collaboration. AI is invaluable for building progressive skill pathways, addressing varied learning needs, and updating curricula to match modern workplace practices. However, complex tasks—like balancing soft skills with technical competencies—still depend on our professional judgment to bridge real-world nuances.

How I Intend to Apply It

I will collaborate with AI to map out multi-step learning pathways that scaffold complex technical skills, while actively customizing the output to reflect current industry standards and diverse student learning styles.

Discussion Question

When tackling multi-layered design challenges with AI,… >>>