Using Scratch to Teach Undergraduate Students' Skills on Artificial Intelligence
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Abstract (arXiv)
This paper presents a educational workshop in Scratch that is proposed for the active participation of undergraduate students in contexts of Artificial Intelligence. The main objective of the activity is to demystify the complexity of Artificial Intelligence and its algorithms. For this purpose, students must realize simple exercises of clustering and two neural networks, in Scratch. The detailed methodology to get that is presented in the article.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Mar 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 1.
3 papers.
- 2025Children's Mental Models of AI Reasoning: Implications for AI Literacy Educationcited by 5
- 2021Teaching Machine Learning in K-12 Computing Education: Potential and Pitfallscited by 1
- 2023Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligencecited by 0
- 2025Children's Mental Models of AI Reasoning: Implications for AI Literacy Education21 May 2025
- 2023Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence10 Nov 2023
- 2021Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls2 Jun 2021