The Role of Collaboration, Creativity, and Embodiment in AI Learning Experiences

Duri Long, Aadarsh Padiyath, Anthony Teachey, Brian Magerko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Fostering public AI literacy (i.e. a high-level understanding of artificial intelligence (AI) that allows individuals to critically and effectively use AI technologies) is increasingly important as AI is integrated into individuals' everyday lives and as concerns about AI grow. This paper investigates how to design collaborative, creative, and embodied interactions that foster AI learning and interest development. We designed three prototypes of collaborative, creative, and/or embodied learning experiences that aim to communicate AI literacy competencies. We present the design of these prototypes as well as the results from a user study that we conducted with 14 family groups (38 participants). Our data analysis explores how collaboration, creativity, and embodiment contributed to AI learning and interest development across the three prototypes. The main contributions of this paper are: 1) three designs of AI literacy learning activities and 2) insights into the role creativity, collaboration, and embodiment play in AI learning experiences.

Original languageEnglish (US)
Title of host publicationC and C 2021 - Proceedings of the 13th Conference on Creativity and Cognition
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450383769
StatePublished - Jun 22 2021
Event13th Conference on Creativity and Cognition, C and C 2021 - Virtual, Online, Italy
Duration: Jun 22 2021Jun 23 2021

Publication series

NameACM International Conference Proceeding Series


Conference13th Conference on Creativity and Cognition, C and C 2021
CityVirtual, Online


  • AI education
  • AI literacy
  • co-creative
  • collaboration
  • creativity
  • embodiment
  • family learning
  • informal learning

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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