I am trying to incorporate breakout sessions where students use AI to work on a collaborative project. However, the groups tend to get distracted or just use the AI to write the final presentation, missing the point of the peer-to-peer collaboration.
How do you structure these breakouts? Should there be a mandatory human-only phase before the AI is introduced? I am struggling to find the right balance between tech-enabled collaboration and students just letting the bot lead the discussion.
Implementing a phased framework that requires students to complete independent conceptual planning before utilizing AI tools effectively prevents over-reliance and preserves the integrity of peer-to-peer collaboration.
2 answers
You should implement a phased framework where AI access is gated by the submission of preliminary human-generated artifacts. The issue here is a lack of defined input parameters, which leads to the prompt-and-paste behavior you are observing. By mandating that students define their conceptual framework and logic chain independently before querying an LLM, you transition the tool from a primary source generator to a secondary validation assistant. This architectural approach ensures the AI functions as a refinement layer rather than a substitute for collaborative synthesis.
That’s a really solid framework, Nisha Patil. I’ve been worried about students just copying output, but your phased approach seems like a practical way to keep them actually thinking for themselves.
Stop giving them the AI as a starting point and you will see the distractions vanish immediately. You are essentially handing them a shortcut, so don't be surprised when they take it.
When I was deploying decentralized workflows for a group of developers, we mandated a mandatory physical whiteboard session where no screens were allowed for the first hour. It forced them to hammer out the consensus before they ever touched a terminal. If you don't build that friction into the process, you aren't teaching collaboration, you are just training them to be prompt engineers.
I'm still trying to wrap my head around these tools, but Nisha Patil, your point about using the AI for validation rather than generation is honestly a huge relief for me.