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Learning Analytics AI Solution

Portrait K12

Personalized support based on unique student needs.

Welcome to Portrait K12, an innovative artificial intelligence solution designed to personalize each student's learning experience.


By utilizing advanced analysis of individual learning processes, we provide specific support and recommendations to maximize academic success for K12 students.

How it Works: 

  1. Data Collection: Each student leaves various digital signals through their interaction with educational tools and digital platforms.

  2. Learning Analysis: A learning analytics framework interprets how each student learns, considering multiple factors and characteristics.

  3. Recommendation Generation: Personalized "nudges" or messages are generated for parents and teachers, selected from a wide range of options based on areas of reinforcement and opportunity.


Data Collection

Primary Data Sources:

  • MS Teams, Learning Accelerators, EDU Insights: Integration with educational platforms to collect data and provide recommendations.

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  • SIS (Student Information Systems): Contextual data, grades, absences.

Additional Data Sources:

  • Digital Coursebooks: Academic textbooks and digital resources.

  • Moodle, Canvas, etc.: Integration with learning management systems.

Learning Analytics AI Solution

Detailed Characterization Framework

Portrait K12 is based on a robust learning analytics framework that encompasses seven key learning pillars and 28 learning indicators.


Each of these pillars is broken down into several learning indicators, providing a detailed and personalized understanding of each student.

Learning Analytics AI Solution

Solution Outputs


The collected and analyzed data is presented in various types of reports, tailored to different levels of analysis:


Nudge Theory

Nudge theory is based on the idea that small suggestions or "nudges" can positively and non-invasively influence people's behavior and decisions. These nudges do not force or restrict choices but facilitate beneficial decision-making.

In the educational context, nudges are generated by virtual assistants powered by generative artificial intelligence. These assistants, EMILIA for parents and SOCRATES for teachers, analyze data and provide personalized recommendations to improve students' learning and development.

Nudges for Teachers

Sócrates, the virtual assistant for teachers, generates recommendations based on common areas of improvement identified in several students. The goal is to maximize the impact of each advice by addressing collective needs. Examples include:

  • Encouraging daily goal-setting to foster a sense of achievement and boost self-motivation.

  • Using memory games to enhance working memory and time management skills.

  • Assigning leadership roles in group activities to build leadership skills.

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Nudges for Parents

EMILIA, the virtual assistant for parents, provides practical and specific advice to support their children's learning and development at home. Examples of these nudges include:

  • Teaching breathing techniques to practice self-control when feeling overwhelmed.

  • Organizing school supplies and planning the week to enhance organizational skills.

  • Role-playing different social scenarios to improve interaction skills.

These nudges are designed to provide consistent and effective support, improving students' learning and development experiences both in the classroom and at home.


Frequently Asked Questions (FAQs)

What happens if we don't have all the identified data sources?

How does Portrait K12 ensure the privacy and security of student data?

How can Portrait K12 be integrated with our existing educational platforms?

Black and White Students

Ready to personalize and enhance the learning journey with 'Portrait'? Reach out to us for more detailed information or to schedule a demo. Let's collaborate to unlock each student's full learning potential. 

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