Basic Information
About Your Solution

What makes our solution innovative:

M-Shule is the first to make adaptive AI-learning technology accessible to primary students in Africa.

SMS Interface: Existing adaptive learning platforms are web or app-based but inaccessible to most Africans. But with mobile penetration growing rapidly across Africa, SMS is the most accessible digital interface available. We channeled powerful AI technology into SMS, ensuring quality learning for everyone.

Data Analytics: We’re the first to deliver instant data to teachers and parents on students’ learning, who otherwise need to wait for exam period or report cards. Implicit and explicit data on performance is generated from students’ interactions with the platform.

How technology is integral to our solution:

M-Shule’s platform leverages artificial intelligence to deliver tailored content to primary school learners based on their specific grade, performance, and needs through a chatbot-like interface. The AI engine is built on item response theory, which continuously updates each student’s learning profile to deliver the most useful content for them. Using past data to select the most useful pieces of content, the system ensures students receive harder questions as they gain mastery, and easier content if they need to build foundational skills. M-Shule continuously updates learner’s proficiency, performance, and areas of strengths and weakness, to deliver reports to teachers, and schools.

Our solution goals over the next 12 months:

Our overarching goal for the next 12 months is to impact over 20,000 learners and 1000 teachers, improving their literacy, numeracy and 21st century skills.

We will:

  • Build and develop our platform to enhance our product and user experience. This involves refining our AI engine, data analytics, dashboards, gamification.

  • Develop more and better Math and English content, building knowledge maps, core content, and expanding into other academic and 21st century subjects.

  • Increase internal operations and talent to better our product and services.

  • Scale across Kenya and prepare for expansion to Rwanda and Uganda.

Our vision over the next three to five years to grow and scale our solution to affect the lives of more people:

Over the next three to five years, we will scale to improve the lives of more learners and teachers.

We will see significant impacts on teacher performance; literacy rates will improve and in-classroom performance will increase.

In 2 years, our students will complete primary school and move on to secondary school. We will have launched in 2 new countries , impacting 82,000+ learners 8000+ teachers from 400 schools.

In 5 years, we will expand across 15 countries and impact 1 million students in Sub-Saharan Africa. We will begin to see our first users unlocking better economic opportunities in their communities.

The key characteristics of the populations who will benefit from our solution in the next 12 months:

  • Child
  • Adolescent
  • Adult
  • Lower

The regions where we will be operating in the next 12 months:

  • Sub-Saharan Africa

How we will reach and retain our customers or beneficiaries:

The market opportunity for our SMS platform in Kenya and Africa is immense. Kenya has a 90% mobile penetration rate, where people use SMS everyday.

We acquire customers through:

  1. Door to door marketing and school partnerships

  2. Word of mouth

  3. Traditional marketing (radio, newspaper)

Our customer retention program involves a blended automated/human high-touch strategy including rewards, referral programs, and learner support.  

How many people we are currently serving with our solution:

To date, we currently have over 2100 students registered on our platform from over 80 schools, with an average of 20 teachers at each school. Our students, teachers and schools come are mostly based in low-income areas, such as slums and suburban areas. 

Our personalised learning pathways enabled student users to increase their scores by 23%, and boost their confidence to participate in class discussions and group work. 

We additionally support partner teachers and schools through our weekly student progress reports, including learner performance analysis and data. 

How many people we will be serving with our solution in the 12 months and the next 3 years:

In 12 months, M-Shule will impact 1000 teachers from all income levels. We will provide teachers with real time reports, tailored recommendations and resources to help inform better instruction. Over 10, 000 students will improve their scores by at least 40% in 12 months.

In three years, M-Shule will impact 8000 teachers - where 100% of their students will graduate to the next level. We will have a resource sharing forum, whereby teachers can connect with others to share recommendations and tools. We will see late primary students graduate to secondary, proficient in Math, English and 21st century skills.

About Your Team

How our solution team is organized:

For-Profit

How many people work on our solution team:

12

How many years we have been working on our solution:

1-2 years

The skills our solution team has that will enable us to attract the different resources needed to succeed and make an impact:

Our CEO Claire Mongeau, has 7+ years of experience working in accessible education and social enterprise in low-income areas including in India and Kenya. Our CTO, Julie Otieno, brings in 3+ years of experience working in tech for development across Africa. Our entire team’s combined expertise and local/global connections has enabled us to raise over $300,000 in seed funding, attract impact investor donors such as Engineers Without Borders Canada and win various competitions such as Nairobi Innovation Week, GESA, Cisco, and Seedstars Kenya. These resources provide funding to enhance product development and acquire more schools.

Our revenue model:

As a for-profit social enterprise, our revenue model is a blended B2C and B2B subscription model, targeting individual parents of student users as well as organization partnerships.

Individual student subscriptions: M-Shule’s direct consumer product charges parents ~$1 per child per month through a monthly subscription for 1.5 hours of learning a week, which falls below current supplementary learning costs. We landed on this price point based on our pilot revenues in 2017.

Organization subscriptions and Data analytics: We offer school and organization packages at tiered prices, based on the need and number of students. Organizations purchase packages for multiple students to learn at once. They are provided with additional data products and support to teachers, at a tiered pricing model.

Through these models, we project revenues of more than $150,000 by the end of 2018 (year 1) at 10,000+ monthly recurring customers and 200+ schools in our network. We aim to reach profitability and break even by the beginning of of 2020 (year 3). By 2022 (year 5), we expect to make $16 million,  where we will then expand across Sub-Saharan markets, reaching more than 1 million customers monthly, work with 5000 schools, and generate $3.8 m in profit.

Partnership Potential

Why we are applying to Solve:

To date, 90% of the African population is low-income. We believe that learning technology can build brighter economic and self-reliant futures for primary school teachers and students. Improving education outcomes can reduce poverty - and allow for stronger economic opportunities in the future.

Solve MIT can help us impact thousands of teachers and students by:

  1. Providing us with the technical mentorship we need to develop our AI engine product even more robustly

  2. Providing us exposure to the diverse network of highly skilled professionals

  3. Potential opportunities of partnership and research.

The key barriers for our solution:

A current barrier to our solution succeeding is finding the right local talent and expertise in AI (with at least 5 years experience), since the tech talent market in Kenya is still so novel. Another challenge is the lack of data on primary school performance of teachers and learners from low-income regions. This means we have to invest time in conducting all research, analysis and test new methods of personalised learning pathways ourselves.

Solve MIT can provide the expertise our team requires to develop our product robustly, better our technology, AI engine and mentor future research methods.

The types of connections and partnerships we would be most interested in if we became Solvers:

  • Peer-to-Peer Networking
  • Technology Mentorship
  • Impact Measurement Validation and Support
  • Grant Funding
  • Debt/Equity Funding

Solution Team

 
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