AI in Schools: Good or Bad
AI in Schools: Good or Bad
A student sits down to start their homework but instead of opening up a textbook first, they open ChatGPT, type in a question and get a full explanation in seconds. What first took hours of researching and reading to understand topics and do an assignment is now done in just a few minutes. In many of my classes, teachers have been setting guidelines for when AI can be used and for what purposes. Nowadays, I've also noticed many of my online textbooks have a built in chatbox to help understanding. However, while AI makes learning faster and more convenient, it always raises an important question: what are the effects of relying on AI on students and young minds?
Using AI as Support:
One of the most powerful aspects of AI in education is its ability to act as a personalized tutor. Sometimes, classrooms often move at a fixed pace, which can leave some students behind while others feel bored. AI tools can adapt to each learner’s speed and understanding. For example, Khan Academy’s Khanmigo helps teach complex topics to students without fully giving away the answer which helps students catch up and learn from their mistakes. From a more neuroscience perspective, this connects to cognitive psychology. The brain works and improves when students get immediate feedback and can correct misunderstandings easily, which is what AI helps with. AI tutors provide this feedback instantly which strengthens memory and comprehension.
Self Determination Theory and AI:
In psychology, there is a concept called the Self Determination Theory which says that people learn best when their 3 needs of autonomy, competence and relatedness are fulfilled. Autonomy can be defined as the urge to self ‘govern’, competence by the ability to do something successfully and relatedness as the state of being connected. AI tools help raise autonomy by allowing students to explore topics at their own pace. When a question is asked to an AI, a clear explanation is given which gives the feeling of being in control of one’s learning. In return, this boosts a snake of competence by breaking concepts into smaller and more understandable topics.
However, all of this must be done in a balance. If students rely too much on AI to complete assignments instead of thinking everything through themselves, it can weaken the learning process. Psychologically it can reduce the development of the brain and problem solving skills are no ‘good stress’ is pushed upon the mind.
Cognitive Offloading, and how it relates:
Another psychological concept relevant to AI in schools is Cognitive Offloading, which is when students delegate such tasks like research writing and problem solving to AI tools to reduce mental effort. This helps reduce mental strain but if too much of cognitive offloading is done, it may weaken critical thinking, memory and developmental skills known as cognitive atrophy.
AI can dramatically increase this effect. Instead of remembering formulas, summarizing texts, or organizing ideas, students may simply ask an AI system to do the work. While this can save time, it may weaken long-term learning if students skip the mental effort needed to build strong knowledge structures. The key is about how AI is used, to guide or to replace thinking.
The Future:
AI will not replace teachers but will definitely reshape their role. Instead of spending time making lesson plans or grading assignments they can focus more on mentoring and discussions in the classrooms. Teachers provide emotional understanding and social interaction which AI cannot take over. AI can assist learning, but it cannot replace the encouragement, empathy, and inspiration that come from real human mentors. The introduction of AI in schools has been revolutionary but if used poorly, it turns into a risk of copied answers instead of developing understanding.
Very educational post!
ReplyDelete