Throughout this master's program, several courses have placed a strong emphasis on reflection. Initially, I found the reflection process to be tedious. However, after completing a few reflections, I began to recognize its value in learning. By the end of each course, I was more aware of my progress and could truly appreciate how much my knowledge had expanded over the weeks. Reflection is something I would like to incorporate more with my current students.

In my experience, I have found that this strategy of emphasizing the learning process over the product is extremely effective in adapting to AI in education. Instead, students are motivated to use AI as a tool to enhance their understanding of a complex topic we are learning. This mindset not only builds deeper engagement with the material but also prepares students to use AI responsibly in the future.

I agree with this statement. As much as we can assume that AI will replace the need for memorizing information and certain skills, it will ultimately be useless if the person relying on it cannot accurately interpret the information.

Already, I have had to shift the way that I go about grading work for my high school students. The reality is that there are always going to be several kids who use AI to do their classwork. The traditional classroom setup must change and accommodate to AI because it is so easily accessible for students, and incredibly hard to detect in some cases.

I think this is a powerful statement to start off this article. This is a conversation that I have had numerous times with coworkers, friends, and family. Generative AI is such an unknown gray area that I think all educators are trying to carefully navigate right now. In my opinion, the best thing we can do as educators is teach our students how to safely and ethically use AI to minimize the idea that AI will "fix" all of our problems.