Unlock Personalized Learning for Every Student
In today’s fast-changing world, students have unique strengths, interests, and career aspirations. Yet, most educational systems still rely on one-size-fits-all approaches, leaving learners under-engaged and underprepared for the global workforce. Sentino changes this by transforming raw student data into actionable insights, enabling schools to deliver truly personalized learning experiences at scale.
Problem
Around the world, educational institutions face the complex task of providing personalized learning for every student. Educators must balance multiple factors: students’ individual preferences, career interests, teacher workload, and the evolving demands of the global job market.

Traditional methods of curriculum planning often rely on subjective judgments or historical patterns rather than real-time data, which can lead to generic, one-size-fits-all learning paths. As a result, students may feel disengaged, struggle to connect coursework with their future goals, and miss opportunities to develop their full potential. Schools also face inefficiencies in resource allocation, with some subjects overstaffed while others lack sufficient attention. The challenge is clear: how can schools create a standardized, scalable, and data-driven approach to guide students’ academic choices while optimizing resources and preparing learners for higher education and global careers?
Solution – Sentino Personality Insights
Sentino provides a comprehensive AI-powered solution that addresses this challenge by transforming student data into actionable insights. Using the Sentino API, schools can analyze personality traits, interests, and self-expressed strengths to build individualized learning paths.
Key Elements of the Solution:
1. Quick Personality Assessment
Students complete a short 10-question survey and a brief self-description of their strengths and weaknesses. This provides a foundation for understanding each learner’s unique profile.
2. Intelligent Data Scoring

The Sentino API evaluates responses using the RIASEC, ORVIS, ORAIS and other relevant frameworks, identifying students’ vocational interest areas such as Health Services, Industrial and Engineering Technology, Arts and Communication, Business, and more.
- Students with similar interests can be grouped to define majoring fields.
- Less popular fields are offered minimally, freeing resources for high-demand areas.
3. Tailored Academic Content Selection
Students choose courses aligned with their interests, potential university paths, and labor market trends.
- Educators can optimize course offerings and manage teacher workload efficiently.
- Learning paths are personalized, scalable, and aligned with students’ aspirations.
This approach ensures that education becomes more student-centered, future-oriented, and efficient, bridging the gap between individual needs and institutional goals.
Benefits

- Fair and Transparent – Data-driven decisions ensure unbiased course planning.
- Student-Centered – Interests, strengths, and career goals guide learning paths.
- Future-Ready – Prepares students for higher education and global careers.
- Efficient and Cost-Effective – Optimizes teacher workload and curriculum planning.