Customer Name: Pehlay Akshar Foundation

Client Profile

Pehlay Akshar Foundation is a transformative education initiative dedicated to fostering English language proficiency and self-confidence among children from underserved communities. Leveraging the power of storytelling, interactive classroom programs, and digital learning solutions, the foundation empowers young learners to articulate their thoughts, unlock new opportunities, and thrive both academically and socially. By exploring innovative technologies like AI in education and services powered by AWS Generative AI, the foundation is enhancing learning outcomes and driving meaningful impact at scale.

Challenge

Pehlay Akshar sought to digitally transform its evaluation ecosystem to ensure consistent, unbiased, and data-backed feedback for students and educators. The key challenges included:

Lack of Real-Time, Data-Driven Insights Traditional systems lacked AI capabilities for live session analysis. No mechanisms existed to monitor session effectiveness or proactively identify performance gaps.

Subjective and Inconsistent Feedback Manual observations and student surveys produced irregular and often biased feedback. There was no use of GenAI-driven sentiment analysis or comprehension insights.

Generic, One-Size-Fits-All Training Programs Educator training lacked personalization, ignoring individual styles and teaching performance. No AI-based recommendation engine was available to suggest targeted upskilling paths.

These limitations impacted the foundation’s ability to continuously improve teaching quality, measure program outcomes accurately, and support educator development at scale.

Solution

To address these challenges, Pehlay Akshar implemented a comprehensive, AI-powered evaluation framework powered by AWS Generative AI, including:

Real-Time Classroom Performance Monitoring AI-driven tools assess facilitator delivery, learner engagement, and teaching effectiveness dynamically.

Automated Feedback via EvaliX AI Objective, timely, and data-backed feedback is delivered to both educators and students using foundation models hosted on Amazon Bedrock.

Personalized Educator Development AI-generated insights identify skill gaps and recommend adaptive micro-learning modules tailored to individual performance trends.

Data-Driven Reporting for Stakeholders Consolidated dashboards and reports quantify program impact and demonstrate effectiveness to donors, partners, and internal leadership.

Business Impact

Digital Transformation of Evaluations Transitioned from manual assessments to scalable, AI-based systems for greater efficiency and reach.

Consistent and Equitable Feedback Delivered unbiased evaluations across diverse groups, promoting fairness in learning outcomes.

Actionable AI Insights Empowered educators with real-time feedback and performance guidance to improve classroom delivery.

Evidence-Based Decision Making Enabled program leaders to make informed choices using data-rich analytics and performance trends.

Transparent Impact Reporting Generated credible, comprehensive reports for internal reviews and external stakeholders, strengthening trust and visibility.