The claim that “the use of AI in school is bad” is too general to be fully accurate. After researching credible sources, I found that AI in education has both advantages and disadvantages. Reports from education experts show that AI can personalize learning, assist teachers with grading, and make education more accessible for students with disabilities. These findings are based on research from universities and education organizations that study the impact of emerging technology in classrooms. Primary studies on AI in education have also found that these tools can improve student engagement and support diverse learning needs when used responsibly.
However, there is also evidence that supports concerns about AI use in schools. Researchers and teachers have raised issues about privacy, data bias, and overreliance on automated systems. Some educators worry that AI might reduce critical thinking and encourage cheating if students rely on it too heavily. Reports also point to challenges such as high costs, lack of teacher training, and unequal access to technology. While some sources focus on the risks, others emphasize that the problems often come from poor implementation rather than AI itself.
In conclusion, the evidence undermines the claim that “AI in school is bad.” The research shows that AI can be helpful when paired with strong ethical guidelines, teacher oversight, and clear learning goals, though risks like data misuse and academic dishonesty remain. The most accurate conclusion is that AI in education has both benefits and drawbacks, and its overall impact depends on how responsibly schools choose to use it. Therefore, the claim is partly false.