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AXL: (Assisted Language and Math Learning)

AXL: (Assisted Language and Math Learning)

India flag

India

Education

High replicability and adaption

Implementing Organisation

EkStep Foundation

India, Karnataka, Bengaluru

Other

Implementing Point of Contact

Jagadish Babu

Chief Operating Officer

Contributor of the Impact Story

EkStep Foundation

Year of implementation

2023

Problem statement

Many primary school students struggle with foundational literacy and numeracy due to varied learning levels, resource constraints, and limited personalised support. Traditional classroom methods often lack the capacity to provide adaptive, practice-based assistance for slow learners. AXL addresses this gap by providing AI-assisted interventions to support language and math learning at scale.

Impact story details

EkStep Foundation is a philanthropic organisation working on population-scale solutions in education, language, and digital public infrastructure. Through initiatives such as AXL, EkStep focuses on improving foundational learning outcomes by leveraging technology, data, and ecosystem collaboration.

AI Technology Used

Machine Learning
Natural Language Processing
Speech Recognition

Key Outcomes

Other - Improved access to structured, assistive learning support in language

mathematics, numeracy exercises, complementing classroom teaching

supporting foundational skill development. Government partnerships indicate early success in enhancing classroom practice

attendance

Impact Metrics

Implementation Context

Deployed

India with deployments across multiple states including Karnataka, Telangana, and Tamil Nadu through government school systems.

Primary school students (typically classes III-VII) in government schools with diverse socio-economic and linguistic backgrounds; deployed in schools equipped with basic computer labs, engaging both urban and rural student populations

Key Partnerships

EkStep Foundation; AI4Bharat;State Departments of School Education (e.g., Karnataka, Telangana)

Replicability & Adaptation

Not specified

The model is replicable in contexts with basic computing infrastructure. Adaptation requires localisation of language content, teacher support mechanisms, and alignment with state education goals.

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.