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The New Learning Loop: Youth, Data, and the Future of Learning with AI

October 9^th, 2025

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AGENDA

Introduction

Presenters & Session goal

The New Learning Loop

A new way of learning enabled by AI

Learning Loop Principles in Action

Save the Children’s Data Restitution approach

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Presenters

Monica Caminiti

Sr Director, Skills to Succeed

Save the Children

Natalie Co

Managing Director

Accenture Development Partnerships

Session Goal

Share how generative AI and Accenture’s New Learning Loop can drive continuous learning and skill development, with examples from both the commercial sector and Save the Children’s Skills to Succeed program.

October 9, 2025

MEducation Alliance Symposium 2025

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Trend 04

The New Learning Loop: How people and AI are defining a virtuous cycle of learning, leading, and co-creating

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Technology Vision 2025 | AI: A Declaration of Autonomy

#TechVision2025

October 9, 2025

MEducation Alliance Symposium 2025

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The New Learning Loop

Autonomy, not just Automation

AI as a Catalyst for Human Potential

Trust as the Foundation

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#TechVision2025

October 9, 2025

MEducation Alliance Symposium 2025

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Skills to Succeed Overview

Countries spanned

Youth trained in employability, entrepreneurial, green life, and digitall skills

Youth supported to access a job, start a business, or continue to higher education within 6 months of S2S

10

248,000+

135,000+

53% male

47% female

Currently: Bangladesh, China, Italy, Indonesia, Mexico, Philippines, South Africa, Thailand, Vietnam

Formerly: Egypt

Youth with disabilities

trained and received tailored job placement services

1,000

Monica (2 minutes)

Katie: My name Katie Pons, I’m a Youth Engagement Advisor at Save the Children here with

Mark: I’m Mark Meziere, I’m a MEAL Advisor with Save the Children

Katie We both support the Save the Children’s Skills to Succeed program. For a bit of background, Skills to Succeed is Save the Children’s flagship youth employment program. Over the past 15 years, with generous funding from and a close partnership with Accenture, Skills to Succeed has spanned 10 countries, currently operating in 9 of those countries. We have trained almost a quarter of a million young people in skills, including employability, entrepreneurial, life, green, and digital skills, with over 135,000 of those trained getting a job, starting a business, or continuing to higher education within 6 months of our program.

Through our programming, we reach youth from some of the most marginalized backgrounds, who face the greatest barriers, including youth with disabilities, displaced youth, and those living in the most disadvantaged contexts.

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Definition:

Put simply, it is ensuring the return of data to its rightful owner.

Development Context: Data collected during the implementation of a program should be returned to the communities or individuals from whom it was collected – often presented as sharing findings, results, and feedback that are accessible and easily understood.

Collective vs Individual

Have you practiced any forms of data restitution in your respective roles?

New Learning Loop in Action - Data Restitution

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New Learning Loop in Action - Data Restitution

Data Restitution

Pre Assessment

Personalized Report

Training

Post Assessment

Personalized Report

Placement & Continuous Learning

Asses young people’s mastery of life skills prior to training

Provide individual report per participant

Employability

Skills

Training

Provide individual report per participant

Asses young people’s mastery of employability skills post- training

Job linkage activities & additional info. for continuous learning

Digital tools & AI

Autonomy , not just automation – using technology and AI to automate the process and provide tailored information to youth

Catalyzing Human Potential - AI-powered data collection and Data Restitution give youth insights they need to drive their own learning

Trust as a Foundation - building trust by engaging youth across the learning journey. Empowering informed decision making

Monica (5 minutes)

Autonomy, not just Automation. The Skills to Succeed program uses AI not just to automate our data collection processes, but to enable youth to lead their own learning journey. Where many data collection process extract information to inform top-down programming, the Skills to Succeed program harnesses AI-powered and other digital tools to put insights from the Data Restitution report back into the hands of youth to explore and develop their own learning. Autonomy is unlocked by giving people the information and tools they need to take initiative, make informed decisions, experiment, and shape their own path—whether innovating in the workplace or learning on their own terms.

Catalyzing Human Potential: Just as Accenture's New Learning Loop empowers employees to lead transformation, innovate, and explore new ideas independently, the Skills to Succeed program uses AI-powered data collection and Data Restitution to give young people the insights they need to to drive their own learning journey. By providing contextualized data in a way that is meaningful to each learner, we give youth the opportunity to lead their personal transformation. We trust and empower youth to set goals, make decisions, and unlock their potential.

Trust as the Foundation of the Learning Loop: Just as organizations must engage employees to build trust to fully capture the benefits of gen AI, S2S builds trust with youth by engaging them directly in their own learning journey. The Data Restitution approach was co-designed with youth and ensures they are not passive recipients of pre-determined knowledge. From the very beginning, youth receive information on what skills they will learn, why those skills matter, and their current mastery levels. By putting this information in their hands, we build trust, empower informed decision-making, and place youth in the driver’s seat of their development. In this way, youth are fully part of the learning loop—the process begins with them and ends with them."

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Individualized Report

AI Powered Data Collection

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Documenting Impact

Data Restitution Pilot (60 participants in Vietnam)

Each participant received an individual report and took part in feedback discussions.
100% rated the report’s usefulness 8–10/10.
84% found it helpful for learning and improving their skills.
80% felt it accurately reflected their competencies.

Some were initially surprised but later agreed after reviewing the definitions.

70% revisited the report during training for self-development.

Assess learning outcomes using Data Restitution vs. comparison group (Q1 2026)

Data Restitution research (> 1000 participants in Italy)

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Q&A

October 9, 2025

MEducation Alliance Symposium 2025

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The New Learning Loop in Summary

October 9, 2025

MEducation Alliance Symposium 2025