I think it is too much when AI does the thinking for you. Like if AI is summarizing everything, explaining everything and basically doing your work for you, you are not actually learning. Dinsmore and Fryer say learning depends on building knowledge step by step and practicing those skills, and there are not really any shortcuts to that. So once AI replaces that process, it’s hurting more than helping.

My concerns are that every time we use AI, we put in our ideas, questions, and sometimes personal information. That can be stored or used to improve it. Even if it’s helpful now, long term it can cause privacy issues, especially if students don’t know what’s being saved in it.

The gray area is when its helping, but it isn’t fully taking over. Like if you are using Ai to clean up your writing or check if an idea makes sense is fine. But using it to come up with the actual idea itself or do the whole assignment is different. It really just comes down to if the work is actually done by you or not.

Colleges shouldn’t ban it or anything, but they need to be sure they are clear about what is okay, most likely by putting it in the syllabus or course policies. It’s just about making sure students are aware to use AI for brainstorming something or feedback on their work but not for the whole assignment. That way people can still learn and use it the right way.

I think AI is going to be part of almost every job. So instead of relying on it, I would need to learn how to use it the right way while still having my own knowledge. I also think a good solution to control it would be to make students show their work on assignments.

Dinsmore, D. L., & Fryer, L. K. (2026). What does genAI mean for student learning? Learning and Individual Differences.

When it comes to AI, one of the main concerns is how this could actually affect education. Like the computers in the 1980s introduced to schools, this is yet another evolutionary step into the education system for better or for worse. There are many benefits when it comes to AI guiding students to better their education, however there are disadvantages that can also guides students to the wrong path for misuse of AI. Starting with the benefits that can improve students’ education;

Many students all have an interesting way of learning and it can sometimes be not so easy for professors and teachers to create a special way of teaching just for each of them such as following instructions. AI has the capacity to simplify instructions for students and sometimes create a checklist for them so they can easily understand the objectives of their assignments.

Another good example for usage of AI in education is source searching. Like working on a school project, AI, such as NotebookLM, can assist finding the sources you need based on the topic you request.

While there are several advantages to using AI as a guiding tool, there are some that needs to be worked on or keep in mind:

While searching for certain topics like on, NotebookLM, to keep in mind is that AI will always be data-hungry. Sometimes, Ai can go off course from the request like, “I found some sources on dinosaurs along with dinosaurs dental hygiene.” Extra sources that sometimes doesn’t relate to what students need to know at the time can affect the students’ study on facts and fictions.

Another example, is the misuse of AI as a way to cheat on exams and homework assignments. While students can use AI as a way to study and help them on the line, some students would intentionally misuse AI by looking up all the right answers and save them time, if misguided for using AI.

We can make AI an acceptable tool to the education system, but like all cases, we must find all loose knots and make sure they are tighten. Meaning in this relation, we must find solutions to make AI acceptable and opening towards student without misguidance or misusage.

As students in generation where LLMs modules are accessible, I think most of us already thought or used AI for academic purposes, but is it a good thing or a bad thing for academics.

As a STEM major the thought of people trying to become doctors using LLMs scares me, the imagination of coming to a doctor’s office who used AI for his education makes me very skeptical. LLMs in academics should be here to help us, not to do work for us, and that’s something that a lot of people don’t see a difference in. There is a huge difference between trying to make AI do your whole work and ask AI to correct your grammar, I think AI can be a very helpful and useful tool to make our college experience easier, but is it really worth it? Paying so much money to be able to get education for your future without actually getting any knowledge and just passing for a degree? Those are questions that students have to ask themselves on their own, for me it is really hard to recognize AI’s work from human’s work especially when LLMs are still improving. I can see why teacher would have a problem with AI being used in their classes, and also why teacher’s would allow it since LLMs will keep improving and there’s not much that we can do about it other than learn how to use them correctly and ethically based on preferences of the teacher.

Coming from this I truly believe that AI can be an awesome tool to help you save some time, and help you with your education as quizzing you, summarizing notes etc.., but not a tool that should be overused, but at the end of the day it is your choice if you’re paying for knowledge or just to be able to say you have a degree.

https://moodle-2526.wooster.edu/pluginfile.php/82732/mod_resource/content/1/Dinsmore%20Fryer%20What%20does%20genAI%20mean%20for%20student%20learning.pdf

When it comes to AI use in the classroom, there is a not-so-clear line between “enough” and “too much”. According to the DInsmore and Fryer [1], the most important part of the learning process is also the part that using AI tends to skip over, the struggle phase. There is an argument to be made that this is evidence AI does not belong in the classroom end-of story, and I do not disagree. As a student, my end goal is not just to get a degree but also to use the information I’ve learned in my endeavors. A degree is something you can put on your resume as proof you did the work and know things that others don’t. AI clearly muddies this process. Once a student has obtained their degree, they can get hired at a job based on those credentials. They are not “preparing” anymore, so the use of AI in the workplace is a much more open discussion. traditionally, whoever gets things done the fastest is the “better” worker but they are both doing the job at equal levels of success. in this case, AI is actively cutting down on wasted time and inefficiencies, it is not sacrificing any level of quality since it is not the one determining the quality.

Works Cited

[1] Dinsmore, Dan L., and Luke K. Fryer. “What Does Current genAI Actually Mean for Student Learning?” Learning and Individual Differences, vol. 125, 2026, article 102834,

I think AI has upsides, especially in furthering research at a pace never seen before. However, when it comes to classes, I do think the easily accessible LLMs run the risk of students cognitively offloading and passing on the smallest (and sometimes most crucial) design and structure choices for their assignments. For some assignments I could understand why a student would use an LLM, especially if you could give it an idea and ask it to expand on it, but for furthering your development as a student, it doesn’t really help. I thought the Dinsmore and Fryeer delved really deep into why that is: “They do not replace the need for humans to learn and practice the necessary processes to complete a task themselves in order to build on those processes to continue to develop in a field, domain, or topic” (Dinsmore & Fryer 7).
Although I do agree that overuse of LLMs does stunt your growth as a student, I do believe the onus is on schools to figure out how to incorporate AI into their curriculums. AI is rapidly evolving – which, for better or worse, we can’t do anything about.
An AI workshop I went to in Columbus a few days ago actually had a professor from University of Cincinnati talk about how a big focus of theirs is making students more AI-literate and how they’re using agents to help personalize learning for their students.

When it comes to AI use in the classroom, in your professional lives, how do we determine how much is too much? 

When it comes to AI in the classroom, the most challenging part is determining the appropriate level of its involvement into educational process. At first glance, AI seems to be a shortcut, but after reading the readings this week, it became clear to me that there is another side of the coin. 

One line that stuck with me was that “there are no shortcuts” in education got me to reflect on how I use AI in my studies. I realize that if it does the job for me, I do not learn anything, because I simply repeat the answers that were generated by the algorithm. 

 However, I believe that AI itself is not bad. On the contrary, the problem lies within people’s excessive usage of it. In this regard, for me, AI stops being beneficial when I stop working on the assignment but let it work for me. 

 In summary, while using AI, one should find the right balance between using it as a tool and abusing it for personal benefit.