Papers

3

Total Citations

35

H-Index

2

About

Luis Castillo is a researcher whose work sits at the compelling intersection of cognitive science, educational technology, and artificial intelligence. His scholarship focuses primarily on executive function development, computational thinking, and the application of intelligent systems in cognitive rehabilitation and stimulation programs. Castillo's most influential contribution to date is his 2022 systematic review examining how artificial cognitive systems can be leveraged in executive function stimulation and rehabilitation programs, a work that has garnered 31 citations and established him as a notable voice in the field of AI-assisted cognitive intervention. This research synthesizes evidence for practitioners and educators seeking technology-driven approaches to support cognitive development and rehabilitation. More recently, Castillo has turned his attention to the classroom, investigating how computational thinking instruction shapes core executive functions in young learners. His 2025 randomized controlled trials with fifth-grade children demonstrate that structured computational thinking training can meaningfully influence working memory, cognitive flexibility, and inhibitory control — findings with significant implications for curriculum design and early cognitive development. Though these studies are newly published, their rigorous methodology positions them to become important references for educators and cognitive researchers alike.

Research Focus

Key Achievements

2
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Cognitive Systems Applied in Executive Function Stimulation and Rehabilitation Programs: A Systematic Review
31 citations · 2022
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universidad Autonoma de Manizales, University of Caldas

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago