Elias Ribeiro is a psychologist and researcher specializing in cognitive neuroscience, attention research, and AI-driven educational technologies. He holds a Master’s degree in Natural Sciences with a concentration in Science Education and Neuroeducation, as well as postgraduate training in Neuropsychology and Cognitive-Behavioral Therapy. 

Research Focus

His research focuses on the cognitive and neurodevelopmental mechanisms underlying academic performance, with particular emphasis on executive functions and attentional systems. He investigates how sustained, selective, divided, and alternating attention interact with motivational and contextual variables to influence learning outcomes.

His work seeks to bridge cognitive theory and computational modeling in order to develop predictive frameworks applicable to real-world educational settings.

Research Development & Tools

Elias designs and evaluates digital and psychometric tools for the experimental assessment of attentional processes.

He is the creator of:

• iGnosi — a psychometric system developed to model attentional behavior in controlled research environments
  
  

• Samantha — a large language model (LLM)-based analytical tool, integrated with iGnosi to support data interpretation, hypothesis generation, and predictive modeling of student engagement and academic performance

Publications

He is the author of the peer-reviewed articles:

• “Samantha: AI Applied to the Study of the Relationship Between Attention and Learning” (RIAE, 2025)
  
  

• “Attention and Academic Performance: AI-Driven Prediction and Intervention”, published in the peer-reviewed international journal International Journal of Technology, Innovation, and Education (2026)

Together, these studies reflect an emerging research program centered on the integration of cognitive assessment, psychometrics, and artificial intelligence in educational research.

Academic Recognition

His work on digital and AI-based tools in education has received academic recognition, including:

• 2nd Place – Graduate Research Oral Presentation (Axis 3: Education, Social Inequality Reduction, and Social Justice), IX Congresso Fluminense de Pós-Graduação
  
  

• Honorable Mention – Bioethics and Education, for the project “Digital and AI Tools for Attention and Academic Performance Analysis: The Case of iGnosi and Samantha”

Long-Term Research Vision

His long-term research goal is to advance interdisciplinary approaches that combine cognitive neuroscience, computational modeling, and technology-enhanced learning to produce theoretically grounded and empirically validated tools for cognitive assessment and intervention.

Through doctoral research, he seeks to develop computationally informed models of attention and executive function capable of generating scalable, data-driven frameworks for prediction and intervention in educational contexts.