First, you have to understand what these “issues” are. The main issue is the fact that students are using AI to come up with ideas instead of them using their prior knowledge. However, we have to understand the motive behind a student’s desire to use AI, which is to pass a class and get a good grade. When the curriculum is not engaging and overwhelming with rigorous grading, students aren’t enticed to learn, and will likely use AI in the process. Dinsmore and Fryer indirectly address my point as they describe how “These trends illustrate the need to possess a wide range of cognitive and motivational attributes (e.
g., knowledge, interest, engagement, strategies) to be able to produce
positive learning outcomes, whether that be reading, problem solving, or many other activities.” (2)

This describes how students have an innate desire to use their prior knowledge, but learn best when they are engaged and interested. Having said this, it is evident that there needs to be more creative learning in schools and more opinion-based questions where a student can pick their own brain and come up with their own ideas that they feel strongly about, heavily discouraging the use of AI.

Dinsmore, Dan, and Luke K. Fryer. What Does Current GenAI Actually Mean for Student Learning?, 5 Mar. 2025, https://doi.org/10.31219/osf.io/f8z56_v1.