LLM impacts on child parent learning studied through activity theory
Characterizing LLM-Based Family Education through the Lens of Activity Theory: A Scoping Review of the HCI Literature
Summary
Large language models (LLMs) are becoming more common in family education, especially between parents and children, but how they affect learning activities isn’t well understood. The authors looked at 53 studies from human-computer interaction research to see how LLMs change who does the educational work, how they interact, and the rules families follow. They found that LLMs often help make conversations and learning feel more natural but parents and professionals still decide how to use the model’s responses. More research is needed to understand how families keep LLMs personalized and manage authority during learning.
What this means in practice
- •For educational technology developers: Design conversational learning tools that better support parent and child interaction by considering how families interpret and use AI outputs.
- •For family support organizations: Develop guidance materials that help families and professionals navigate and apply AI-generated educational content responsibly.
A survey. It maps existing work.