Seth Bernstein
@sethbern.bsky.social
PhD Student at UMich | Researching #HCI, #ComputingEd, and #genAI (he/him/his)
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.
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.
October 8, 2025 at 6:42 PM
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.
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.
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.
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.
October 8, 2025 at 6:42 PM
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.
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.
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
But the downsides are real too:
• Shallow learning
• Over-trust in wrong outputs
• Less collaboration
• Uneven access
October 8, 2025 at 6:42 PM
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
But the downsides are real too:
• Shallow learning
• Over-trust in wrong outputs
• Less collaboration
• Uneven access
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
Here’s what we found at the @templehci.bsky.social👇
📄 “Beyond the Benefits” — Koli Calling 2025
tinyurl.com/ucfhmfha
October 8, 2025 at 6:42 PM
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
Here’s what we found at the @templehci.bsky.social👇
📄 “Beyond the Benefits” — Koli Calling 2025
tinyurl.com/ucfhmfha
