AI in the classroom isn’t neutral. It changes how students think, trust, and connect.
If we want responsible AI in education, we have to study the harms with the same depth we study the hype.
📄 Read more: tinyurl.com/ucfhmfha
#ComputingEducation #AI #HCI
Posts by Seth Bernstein
Harms as a percentage of each population. 69.6% of instances involved introductory students, 12.0% upper-level undergraduates, 9.3% graduate students, and 9.1% educators
Percentage of harm instances by evidence type within each type of GenAI tool.
What’s missing? The social side.
Equity, belonging, and collaboration barely show up in the data even though they’re what determine who feels welcome in CS and who walks away.
The stacked bar chart shows the proportion of papers based on their highest level of evidence. Papers from 2025 are omitted from this visualization.
Only about 1 in 5 papers from 2024 even mention harms.
And most discuss hypothesized harms, not ones that were observed or measured.
It’s time for research that examines what’s really happening in classrooms, not just what we think might be.
Stacked bar chart showing the percentage of papers that discussed harms of GenAI in computing education. Greyed bars represent papers not analyzed. Papers from 2025 and other excluded works are omitted.
Most papers focus on benefits such as faster feedback, better explanations, higher grades.
But the downsides are real too:
• Shallow learning
• Over-trust in wrong outputs
• Less collaboration
• Uneven access
Umbrella harms (e.g., Metacognitive) are bolded and represent the total number of instances across all associated sub-harms. Because sub-harms are not mutually exclusive, a single paper may be counted multiple times within an umbrella category if it includes multiple sub-harms with the same type of evidence.
Everyone talks about how generative AI helps students. Almost no one asks how it might hurt them. We reviewed 224 papers on GenAI in computing education to see what’s being ignored.
Here’s what we found at the @templehci.bsky.social👇
📄 “Beyond the Benefits” — Koli Calling 2025
tinyurl.com/ucfhmfha
Our recent work shows how AI is undermining social interactions and eroding learning communities! 😬
1. Help exchanges are now largely mediated by AI
2. Help from AI is replacing support from friends
Students now feel isolated and receive less mentorship, reducing access to the hidden curriculum
I agree, if it was ok HBO it would be extremely popular. Its a shame apple tv hasnt done a great job marketing it
When I guest lectured in an undergrad Algorithms class I needed to explain why I was talking about ethics in such a theory-heavy class.
I explained the mysterious work in #Severance and asked, don't you think it matters what your algorithm's used for? You don't sort numbers for the heck of it.
It’s very disappointing to see major universities using AI art for promotional material when there are students who could create incredible work and deserve that recognition
A group of four students are sitting on the floor in a circle talking about research.
A room full of students are sitting around a table and listening to a presentation.
Last night felt like a movie 🍿 We had our first lab meeting with some of the new students joining for Spring 2025.
What a feeling to see so many first-year undergraduate students so excited to start their research journeys.
No I edited it, but it definitely feels like something clippy would say😆
Day 2, I am slowly but surely finding my #ComputingEducation / #CSed community here on Bluesky 🦋
Who did I miss?
go.bsky.app/4CFkrJa
First post! 👋
I can't wait to find all my #HCI #ComputingEducation and #AssistiveTech friends and to make some new ones.
One for HCI
Hi! Could you add me please :)
Hi! Could you please add me to this if possible :)