Doing What Really Matters


Enhancing Offline Learning in Prisons with AI

Doing What Really Matters (DWRM) logo

Mission


DWRM is committed to bringing higher education to incarcerated individuals, offering them opportunities for personal and professional growth through education. In partnership with Coventry University, DWRM plans to provides a digitized Sociology degree to students in prisons, with a focus on enabling learning in offline environments where access to the internet is restricted.

Problem Statement


Prison students face significant barriers to accessing education due to the lack of internet connectivity. Current learning materials, although digitized, don’t provide the interactive, peer-learning experience available to online students.

DWRM seeks to develop an offline AI solution that will act as a peer learning assistant, enabling students to navigate course material, ask questions, and receive guided support without needing live internet access. This solution aims to bridge the gap in student engagement and facilitate deeper learning despite the challenging environment.


Two human figures surrounded by geometric shapes, representing diversity and connection

What success looks like


Enhanced learning

Enhanced learning experience


Students can interact with course materials through AI that mimics a peer learning environment.

Engaged learning

Greater
engagement


The AI provides dynamic feedback, answering students' questions, helping them stay motivated and navigate content more effectively.

Scalable Solutions

Scalable offline solution


A system that can be easily updated and deployed across prison systems without requiring high-tech infrastructure.

Improved Student Outcomes

Improved student outcomes


Learners show increased engagement, retention of knowledge, and completion rates, leading to better academic performance.

Skills & Techniques Required


This project requires expertise in:


  • AI for Offline Environments

    Building AI systems that function fully offline using local data and minimal compute resources.

  • NLP for Learning Support

    Developing natural language processing tools to allow AI to answer student questions and guide them through coursework.

  • User Experience (UX) Design

    Creating an intuitive, easy-to-navigate interface that is suitable for users with varying levels of digital literacy.

  • Content Processing

    AI capable of interpreting and enriching HTML exports of the Virtual Learning Environment (VLE).

Skills We're Looking for from Mentors


Offline AI

Offline AI Development

UX Development

Conversational UX for Learning

Content Management

Content Management and Enrichment

Accessibility Solutions

Prison Education & Accessibility Solutions

DWRM Workshop at 42 London
DWRM Workshop at 42 London

    About the AI for All Buildathon


    On November 22-23, 2024, at People’s Mission Hall, Whitechapel, we’re bringing together charities, AI experts, and students to develop impactful AI tools that charities can use to drive social change.


    42 London


    42 London’s peer-learning model focuses on equipping students with the skills to tackle real-world challenges. By working on Third and Public Sector projects, students gain advanced technical skills, learn to solve complex problems, collaborate with diverse stakeholders, and create impactful solutions—preparing them to excel as skilled engineers and socially conscious innovators.

    42 London

    Our Partners:

    Anthropic

    Anthropic


    Users are able to engage with self-study material, even if they struggle with reading, by using speech recognition and an intuitive interface that guides them step-by-step.

    La Fosse Academy

    La Fosse Academy


    The AI tool encourages continued learning through motivational prompts, feedback, and support, helping users remain committed to their literacy journey

    London Interdisciplinary School

    LIS


    A simple, Minimum Viable Product (MVP) that demonstrates the speech recognition feature, allowing users to engage with basic learning modules and progress on their own.

    X and Why

    X and Why


    A product that can grow with the learners, with potential for further modules and content expansion, especially as new sources of funding are secured.


      Mentors & Supporters:


      Graphcore, Polecat: Providing expert mentorship to help teams build impactful, responsible and technically sound AI solutions aligned with charitable strategic goals.

      Graphcore
      Polecat

        Join us!


        Be part of a buildathon that merges tech innovation with social impact, where your expertise will help shape AI solutions that make a real difference.
        Join a community of changemakers, gain hands-on experience, and inspire the next generation of socially conscious engineers.


        CONTACT US