Using Scratch to Teach Undergraduate Students' Skills on Artificial Intelligence
This addresses the educational challenge for undergraduate students in AI by providing an incremental, hands-on approach to learning basic algorithms.
The paper tackles the problem of making AI concepts accessible to undergraduate students by using Scratch to teach clustering and neural networks through simple exercises, resulting in a workshop that demystifies AI complexity.
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.