# Conversational Agents and Children: Let Children Learn

arXiv: https://arxiv.org/abs/2302.12043 · HTML: https://mlsanity.com/paper/2302.12043/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 24 references that are in the map.
- First posted on arXiv 23 Feb 2023.

## Builds on (most cited first, 2 of 2)

- [All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroom](https://mlsanity.com/paper/2105.03708/) (2021)
- [Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment](https://mlsanity.com/paper/2209.02338/) (2022)

## Built on by (most cited first, 1 of 1)

- [Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback](https://mlsanity.com/paper/2510.06677/) (2025)

## Abstract (arXiv)

Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -- non-intrusively -- guide children in their quest for online resources rather than simply finding resources for them. We argue that agents should "let children learn" and should be built to take on a teacher-facilitator function, allowing children to develop their technical and critical thinking abilities as they interact with varied technology in a broad range of use cases.