Back to search

Massachusetts Institute of Technology

Growing up with AI : Cognimates : from coding to teaching machines

Abstract

dc:description.abstract

Conversational agents and intelligent toys are present in children's homes. This raises questions as to the impact of Al on their development. In this context, we explore how to educate the children that are growing up with Al and best prepare them for the future. Our prior studies showed that young people consider intelligent agents as friendly and trustworthy, and sometimes even defer to them when making decisions [16, 73]. This thesis explores how children, who are 7 to 14 years old, develop a better understanding of Al concepts and change their perception of smart agents by programming and teaching them with the Cognimates platform we developed. Variations between children of different nationalities and SES backgrounds are discussed together with the influence of their collaboration and communication skills.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Druga, Stefania
Advisor dc:contributor.advisor
  • Cynthia Breazeal.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/120691
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/120691

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Druga, Stefania. Growing up with AI : Cognimates : from coding to teaching machines. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120691