Share Your Final Reflection by PSU Open

psuopen — 2024-01-14 05:13:03 UTC

Return to the discussion post in the Fundamentals topic and re-read what you shared about what your previous AI experiences and what you hoped to learn.

Reflect upon where you are now with your thinking about generative AI. What new ideas/concepts have you learned? What has been the most challenging topic or idea? What are you still confused about? What would you like to do a deeper dive on?

If you like, share your final reflection on the Padlet we've set up.

Thanks, Matt!

nicholashelms1 — 2024-04-22 14:56:20 UTC

I mentioned at the beginning of this CoLab challenge that I was split on GENAI, slightly leaning negative on the whole thing. Playing around with AI tools during the challenge and looking further into the ethical concerns about the use of GENAI (thx Matt Cheney!) have pushed me over into the wholly negative camp. Teaching about GENAI is certainly something we need to be doing (and I've got plans to teach Matt's piece next week in my Critical Theory course). But my misgivings about encouraging students to use GENAI have hardened. The benefits do not outweigh the costs.

Reflection on The AI Challenge Modules - Dylan Tulk

2024-10-17 19:16:32 UTC

I mentioned in my Fundamentals discussion that I wished to know more about how people plan to deal with all the ethical issues that come with GENAI. Throughout the modules I feel I learned a lot more about these specific issues, which was fantastic, but I feel there was not a big focus on what's next. Learning about GENAI is essential to making plans of how to best navigate it... but I wanted to see evidence of these great ideas in practice. Maybe it's too early for this sort of information to be out there, but I felt a need to know what people are actually DOING in response to all these rich, scholarly discussions. How are they actualizing their ideas in the classroom? One thing that I found challenging to grasp, was the semantics surrounding GENAI. As an English major words really matter to me. I feel like the language we use to describe AI is very powerful, and telling of the direction people are trying to push it in. Why would someone refer to GENAI as "creative" or "child"-like or "wise"? How come we have this term "hallucinate" when describing GENAI's random false fact glitches? Who coined these descriptors? For what purpose? Why do so many people just accept them without questioning them? How do the ways we perceive AI, and the language we use about it, determine the future of AI? There is a lot of controversy on the use of GENAI in educational settings, and in general (views on AI can be a great way to start a fight with your family and friends haha). I'd like to dive deeper into the reasons behind the huge, messy cultural reaction that GENAI has incited.

Teaching w AI

2025-10-03 00:23:29 UTC

I have definitely learned some new ways and ideas for incorporating AI in classrooms, such as using it to help refine lesson plans if it is not playing out how you expected. I think it is really important to know how to utilize AI for your classroom and offer it for support because students are definitely going to use it regardless, and it can genuinely be helpful and beneficial in a lot of cases. On the other hand, like the website says its really important to think critically if we should be using AI when we do, and if its something that is taking away from the students learning and efforts. It is also very important to keep in mind the environmental impact using AI has every time, like it said flying a plane across the country is the same amount of energy as using AI. There is much to think about when using AI in future classrooms and we are definitely at the beginning of its incorporation.