AI and Student Wellbeing: 5 Takeaways from Common Sense Media’s New Course

student wellbeing
(Image credit: Pexels)

Common Sense Media’s new online, self-paced course examines AI use and its connection to student wellbeing.

While most discussions around AI in the classroom focus on topics such as AI tutors or AI cheating, an arguably more pressing concern is how these tools are impacting student wellbeing. More and more young people are turning to these tools for the type of mental health advice traditionally offered by a friend or therapist.

Common Sense Media’s free, hour-long class focuses on these types of AI use. I recently took the course and it was easy to follow, helpful, and a very productive use of an hour. The course lays out how students are increasingly turning to AI chatbots for emotional support, and explains why that can be harmful to their wellbeing. Then the AI and Student Well-Being course offers specific and actionable advice for educators to help their students overcome these challenges.

While some of the discussion in the course was familiar to me, other aspects of it were new. The whole course is a great reminder that I, and other educators, should be taking this issue seriously. Here’s what I learned.

1. AI and Student Well-Being: Students Are Using AI -- A Lot

In the course, Common Sense Media shares results from a survey it conducted in which more than a thousand 9- to 17-year-olds across the country were asked to discuss their AI use. It’s no surprise that the survey revealed that students are using AI a lot, but even so, the numbers are eye-opening.

“Nearly 9 in 10 kids age 9 to 17 use or interact with AI, including about one in four who do so on a daily basis,” the course reveals. Additionally, these regular AI users exhibit signs of AI dependence. “Twenty percent of kids who use AI, and 42% of kids who use AI daily, say it would be very or somewhat hard for them to go without AI for a month.”

Concerningly, students who said they were lonelier were also more likely to use AI more often and to turn to it for emotional support. Only 33% of kids who rarely use AI said they felt lonely some of the time. Meanwhile, “about half of kids who use or interact with AI daily (54%) or weekly (47%), and 44% of monthly AI users, say they feel lonely at least some of the time.”

2. AI Can Appear Helpful for Emotional Support

The course is not actually anti-AI and makes it clear that AI can appear (and might even be) helpful for emotional support in some instances. For certain students, AI could reduce feelings of loneliness in the moment, offer a low-pressure space to ask questions, and provide guidance and practice for navigating social situations. It could also spark creativity and self-expression.

But there are limits to these benefits. “[AI] does not actually know a student, care about their future, or share in the relationship,” the course text warns. “Its responses are generated, not felt.” This could lead to AI stopping students from seeking help from humans and its constantly affirming responses can reinforce “validation-seeking patterns.”

Additionally, “for vulnerable students, AI may intensify rather than ease existing struggles,” and, “One-sided interactions can start to feel safer or more satisfying than real relationships.”

3. Chatbots Appeal to Students Because They Offer “Frictionless Friendships”

One of the reasons AI chatbots appeal to students is that these platforms offer a frictionless friendship. “When a chatbot uses simulated curiosity to ask a student about their day, it signals interest,” the text states. “When it uses social presence to reference something a student shared the week before, it signals memory and care. When it uses sycophancy to affirm a student's feelings without question, it signals safety. These may not be real in the way a human relationship is real—but they can feel real.”

Additionally, talking with a chatbot doesn’t carry a social risk, and these tools are always available and never require anything from a student. In contrast, a real friend might challenge you and disagree with you, isn’t always available and has their own interests and passions. But they do care “about your wellbeing in a real, embodied way.”

4. There Are Signs of Concerning AI Use Educators Can Watch For

The course offers several tangible solutions for addressing concerns about AI use and teaches you some potential signs that a student may have entered into an unhealthy relationship with a chatbot. These include discussing AI as a “real friend,” and sudden switches in academic performance and overall behavior.

In these instances, the course advises not trying to perform the role of a therapist, but instead talking with the student about their AI use in a curious and non-judgmental way, and following your institution’s guidelines around recommending wellbeing and mental health supports. Understanding what students are getting out of their interactions with these machines can also help.

Many students are drawn to chatbots because of their sycophancy (a tendency to agree with the user) and students also have “automation bias,” a strange new tendency many have to trust AI more than their own intuitions because it seems so knowledgeable and confident in its responses.

5. There Are Steps Educators Can Take

When it comes to AI and student wellbeing, as with so many other things, the best interventions are often the ones that take place before a problem develops.

To this end, the course recommends that educators take an active role in preventing students from entering into potentially harmful scenarios with AI. This can be done through digital literacy and by making AI a regular low-stakes topic of conversation in class. Additionally, the course encourages educators to model intentional AI use, explaining why they are using AI and its limitations.

In a great piece of advice for this and other situations as an educator, the course advises teachers not to be afraid to let the students know the limitations of their own knowledge on these topics by saying something such as, “I'm still figuring this out, too.” The course notes that this “is an invitation to think together,” modeling exactly the kind of real human collaboration and thoughtfulness AI can’t duplicate.

Erik Ofgang

Erik Ofgang is a Tech & Learning contributor. A journalist, author and educator, his work has appeared in The New York Times, the Washington Post, the Smithsonian, The Atlantic, and Associated Press. He currently teaches at Western Connecticut State University’s MFA program. While a staff writer at Connecticut Magazine he won a Society of Professional Journalism Award for his education reporting. He is interested in how humans learn and how technology can make that more effective.