Recommending Computational Thinking Learning Paths using Fuzzy Logic
Abstract
Nowadays, computational thinking plays a very important role in everyday life, which is why schools have sought to incorporate programming into their curricula to support its development. In this research, we focused on generating learning paths for children. To achieve this, we developed a tool that allowed us to capture data, which was then processed and analyzed using fuzzy logic. As a result, we obtained the next exercise each user should solve, which helped us create personalized learning paths for every user on our platform. Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i1.1170Dimensions.Open Alex.
Fields of Study & Subjects
Teaching and Learning Programming
Intelligent Tutoring Systems and Adaptive Learning
Educational Technology and Assessment
Publication details
- Journal / source
- International Journal of Combinatorial Optimization Problems and Informatics.
- Publisher
- Editorial Académica Dragón Azteca
- Volume
- 17
- Issue
- 1
- Pages
- 307–317
- Publication date
- 2 January 2026