AI Integration into Educational Environments and the Negative Effects on Adolescent Psychology

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Artificial intelligence has grown to be a crucial part of societal function. As it becomes integrated into school systems, workplaces, and personal lives, we may not notice the negative influence it can have. Excessive or poorly supervised reliance on AI in education may interfere with the development of essential cognitive and social skills, raising concerns about its long-term effects on young learners (1). The implementation of artificial intelligence in educational environments can cause disruption in social, psychological, and analytical situations, proving that regulations on AI are required to encourage healthy usage of artificial intelligence by adolescents.

Although AI might initially benefit students when learning, in the long term it may hinder a child's cognitive development. In areas where challenges should be encouraged, promoting the use of simplification through technology is contradictory and has the ability to jeopardize their future. Shiri Melumad, PhD, an associate professor at the University of Pennsylvania, when regarding the use of AI in learning environments said, “I believe this poses a significant risk for young learners: The more they grow up accessing quick solutions to problems, the less likely they will be to develop the requisite skills to solve those problems on their own,” (1) While it is impossible to entirely predict the way that AI could impact students, we can develop a hypothesis through observations of child psychology. An article from Harvard University, Center on the Developing Child says, “Our early experiences shape our brain architecture, which provides the foundation for all future learning, behavior, and health.” (5) Information in the same article shows that the physiological cost required to modify neural connections is at its lowest between the ages of one and twenty, which overlap with the peak areas of experience-induced neurological influence (5). Because improvement is developed through practice and pattern recognition skills during childhood, depriving students of their innate abilities may well cause a setback in cognition, especially as education goes on. Further, these issues might not end at elementary or middle school.

While AI can emulate the feeling of human interaction, it cannot replace it. Excessive reliance on AI for social interaction may reduce opportunities to develop essential interpersonal skills, although its long-term developmental effects remain uncertain. One of the primary instruments children use to learn is socialization; even as they continue to grow, they will always require intrinsic fulfillment from human interaction (3). Anne Maheux, PhD, assistant professor of psychology and neuroscience at the University of North Carolina spoke on this in an interview: “Because they are not sentient creatures, AIs have no needs of their own, so the child has no opportunity to practice prosocial skills, empathy, or conflict negotiation,” Said Maheux. “For those reasons, it’s possible that AI could lead to more dysfunctional beliefs about how human relationships should be” (1). Similar to adults, children are inclined to replace socialization with the simpler, straightforward variation of interaction that is found in AI (2). Instead of growing the social skills of minors, it can deteriorate them, causing a potential delay in interactive abilities that can continue into adulthood. Especially in adolescence, emotional intelligence, social growth, and mental health are fundamentally important to ensure the health and happiness of the student. However, when AI is encouraged in schools, it becomes a part of the child's life at home as much as it does their life in school. Especially with in-school monitoring remaining increasingly flawed, it is important to develop awareness and potential solutions for these issues.

According to the research (8), there are substantial accuracy and sourcing problems in AI-generated responses, creating particular concerns for younger users who may be less prepared to identify misleading information. Students are increasingly vulnerable to misleading information spread through AI and the mistakes made by prevalent AI chatbots. A BBC- and European Broadcasting Union-led study found that 45% of AI-generated responses to news questions contained at least one significant issue involving accuracy, sourcing, or context. (8). This report included data from AIs that are used universally and are common in educational environments; ChatGPT, MS Copilot, Gemini, and Perplexity were all tested to reach this conclusion. A study published in September 2025, analyzing survey responses from higher-education students across 109 countries and territories, reported that more than 70% of surveyed students had used ChatGPT (7). As more adolescents and young adults rely on AI-generated information, excessive dependence on automated answers may reduce opportunities to develop independent research, source evaluation, and analytical reasoning skills. The long-term consequences remain under investigation.The dependability of AI is often questioned regarding the safety of all users, but when will this be seen as more than a problem of the present and instead a threat to the futures of the current and evolving generations?

As AI becomes increasingly integrated into schools worldwide, existing regulations, safety measures, and research into adolescent behavior remain uneven and may not adequately address emerging developmental risks. Despite this, we are slowly seeing resistance in certain districts, with an example being the one-year moratorium on generative artificial intelligence utilization for 2k through 8th grade that was implemented in New York City for the 2026-2027 school year (9). The reality that this implementation passed in one of the largest cities in the U.S. is proof alone that there is credibility behind the concern for AI literacy. Especially for students younger than 8th grade, entirely banning AI usage could ultimately produce a positive result. However, when regarding students in high school or higher education, a nationwide ban could cause far more issues because it would be affecting older students and adults. So, for these cases, mild regulations on AI application could develop a preferable result; particularly if done through the AI platforms by flagging prompts that correlate with unhealthy AI usage, such as increased emotional contact, sole dependency, or excessive information gathering. Then there would either be a limitation or separation from AI for the user until they stopped showing signs of extreme usage. There could also be a regulation on all AI users under the age of 18 that limits their daily or weekly AI usage to promote only necessary utilization of the technology. However, if this were to be implemented, there would have to be a mandate requiring AI companies to incorporate these regulations into their platforms. Despite these complications, directives like these could significantly benefit and encourage the ethical and wholesome use of AI in education and additionally prevent certain unwanted utilization.

As the number of students that use AI grows, the implementations necessary to prevent negative consequences grow as well. To decrease risks in AI, certain regulations should be established; and even while it can be seen as unfavourable, it’s important to prioritize the long-term impact and the overall benefit. Initially, this may lead us to improve our usage of technologies and ensure that as AI develops, we can adapt to its usage and eventually learn how to use it in the most helpful way for humankind.

Sources:

 

1.                  https://www.apa.org/monitor/2026/09/ai-brain-development-youth

2.                 https://www.media.mit.edu/publications/how-ai-and-human-behaviors-shape-psychosocial-effects-of-chatbot-use-a-longitudinal-controlled-study/

3.                  https://www.bcm.edu/news/the-importance-of-socializing-children

4.                  https://www.cnn.com/2026/09/02/tech/new-york-city-classroom-ai-ban

5.                  https://developingchild.harvard.edu/key-concept/brain-architecture/

6.                  https://edsource.org/updates/most-students-and-educators-use-a-i-in-education-survey-finds

7.                  https://www.sciencedirect.com/science/article/abs/pii/S2950524025000253#section-snippets

8.                  https://joshbersin.com/2025/10/bbc-finds-that-45-of-ai-queries-produce-erroneous-answers/

9.                  https://www.cnn.com/2026/09/02/tech/new-york-city-classroom-ai-ban


About the Author

Leyla Demirkan is an 8th grader at Open Window School with an interest in cognitive science and psychology. She is an aspiring writer and researcher aiming to grow her knowledge of artificial intelligence and educational leadership. She has been a part of her school debate team for two years and has ranked 5th statewide.