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Academic Bio (English)
Academic Bio (English)
Elias Ribeiro is a psychologist and researcher with a Master’s degree in Natural Sciences, focused on Science Education and Neuroeducation. He also holds postgraduate training in Neuropsychology and Cognitive-Behavioral Therapy, and a bachelor's degree in Psychology from ISECENSA.
His work lies at the intersection of neuroscience, learning, attention, and artificial intelligence. He investigates how cognitive processes—particularly executive functions, attention systems, language-related mechanisms, and neurodevelopmental factors—influence academic performance and learning outcomes. Elias develops and evaluates digital and psychometric tools designed to study attentional models (sustained, selective, divided, and alternating attention) and their relationship with motivation, engagement, and performance.
He is the creator of iGnosi, a psychometric system used to analyze attentional behavior in experimental contexts, and Samantha, an LLM-based tool integrated with iGnosi to generate insights and explore predictive modeling of student engagement and performance. His broader research interest lies in the potential of AI-driven approaches to enhance research workflows, support cognitive assessment, and strengthen executive function training.
Elias has been recognized for his contributions to digital tools in education and neuroeducation research. He received:
2nd place in the oral presentation session for Graduate Research (Axis 3: Education, Social Inequality Reduction, and Social Justice) at the IX Congresso Fluminense de Pós-Graduação;
Honorable Mention in the Bioethics and Education thematic area with the work Digital and AI Tools for Attention and Academic Performance Analysis: The Case of iGnosi and Samantha.
He is also the author of the peer-reviewed article “Samantha: AI Applied to the Study of the Relationship Between Attention and Learning”, published in RIAE (2024).
Elias aims to pursue doctoral research integrating neuroscience, cognitive assessment, AI-based methods, and technology-enhanced learning, especially within interdisciplinary environments that explore educational innovation, neurodevelopment, and computational approaches to human cognition.
Project Summary – iGnosi & Samantha
The iGnosi application (INPI BR512024001850-6) and the Samantha artificial intelligence system are part of a research project developed during the master’s degree of Elias Souza Ribeiro, under the supervision of Dr. Carlos Eduardo Batista de Sousa. The project investigates how different attentional models—focused, sustained, alternating, and divided attention—shape and influence the learning process.
To support this investigation, a dedicated Android-based application was developed to assess all four attentional models using only a tablet. Beyond computing scores and generating standardized results for qualitative analysis, iGnosi is integrated with the LLM-based AI system Samantha, which provides insight generation and predictive analysis. This combination allows teachers, parents, and researchers to explore attentional data in a more accessible and informative way.
Project Advantages
Project Advantages
Cost-effective – More affordable than traditional psychometric tools.
User-friendly – Designed so non-technical users can easily interact with the AI.
Portable – Requires only a single tablet for administration.
Fast – Full assessment takes, on average, 10 to 12 minutes, depending on user performance.
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