mlsanityData to 14 Oct 2026

Conversational Agents and Children: Let Children Learn

arXiv 2302.12043 ↗First posted 23 Feb 2023cs.CLcited by 1

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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.

Key facts. Cited by 1 paper 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

2 of 24 references.

References · 2

  1. 2021All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroomcited by 1
  2. 2022Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environmentcited by 1

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedbackcited by 4