1. The most important two (concrete not general) things you learned

First thing I learned is that confidence with AI doesn’t come from just waiting until you ready to use it. You should experiment and try to do things using it, because the best way to learn is through trial and error. It is important to get over the fear of trying something new to be able to evolve. Instead of overthinking every step, I should just try and learn from my mistakes and take notes of the positive aspects.

Second thing I learned is that creativity with AI is not just about being cool, but it’s about reframing tasks. For example, I can you AI to compare multiple versions of my argument in a research paper, remix ideas to cater for different audiences or test how a concept like behavioural economics sounds in a persuasive vs academic tone. I specifically used the behavioral economics example, because I wrote a paper this semester. To me, these are very practical ways of using AI that are creative and not just artistic.

2. One question that remains for you after finishing the module

How do we balance using AI creatively while still making sure our work is authentic and echos the writer’s voice?

3. What you wish your professors knew that was in the module

I wish professors understood that experimenting with AI is part of the learning process, and that it is not cheating. When we try things as students then fail and adjust, we actually develop stronger thinking and writing skills. If classrooms allowed more openness about what worked and what didn’t, it would make students more confident and more honest about their use of AI instead of hiding it.

The reflection I wrote in Creative + Confident:

My English teacher asked us before to write a paper on our field of study. I chose to write about behavioral economics. She asked to generate an AI paper before we start to write and annotate it. This was very smart because it encouraged us not use ai, but inspired us on how to start our paper. It also helped me learn about the mistakes Ai makes so that I can avoid them to make my paper unique and useful.
From this, I learned that AI isn’t just a tool for generating content. It’s useful for understanding writing choices. It made me more aware of structure, word choice, and how tone can influence interpretation. At the same time, I realized AI can sometimes oversimplify or make things sound too polished, which doesn’t always match my natural writing style. So it’s helpful, but only if I stay in control of the final output