AI from Concrete to Abstract: Demystifying artificial intelligence to the general public
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Understanding complicated AI abstracts and concepts is often challenging, particularly for learners from non-technical backgrounds.
“Generally, understanding complicated AI abstracts and concepts is often challenging, particularly for learners from non- technical backgrounds (Lacerda Queiroz etal.2021; Kim et al. 2023).”
From Game‐Based Learning for Asynchronous AI Literacy Course: Approach to Improve Students' Cognitive, Behavioural, Affective, and Ethical Learning of AI (2026) · cites this paper as Lacerda Queiroz et al. 2021
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“think? Turing (1950) presents a game called The Imitation Game.”
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Visual tools for teaching machine learning in K-12: A ten-year systematic mapping
Gresse von Wangenheim, C., Hauck, J. C. R., Pacheco, F. S., & Bertonceli Bueno, M. F. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10570-8 · Cited by 130 · see citing works
Blind Users Accessing Their Training Images in Teachable Object Recognizers
Hong, J., Gandhi, J., Mensah, E. E., Zeraati, F. Z., Jarjue, E., Lee, K., & Kacorri, H. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3517428.3544824 · Cited by 22 · see citing works
Kim, J., Yang, G., Chan, W. S., Lin, X., Song, Y., & Li, N. (2026) · European Journal of Education · doi:10.1111/ejed.70658 · Cited by 1 · see citing works
- Authors
- Lacerda Queiroz, R., Ferrentini Sampaio, F., Lima, C., & Machado Vieira Lima, P.
- Affiliations
- Universidade Federal do Rio de Janeiro (BR)
- Venue
- AI & SOCIETY
- Published
- 2021-04-07
- Volume
- 36
- Issue
- 3
- Pages
- 877-893
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W3147477878
- Cited by
- 25
- References
- 1
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 2 · 2023: 6 · 2022: 6 · 2021: 3
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- AI & Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- artificial intelligence in education, block-based programming, learning machines
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