M-Shule is a mobile learning platform designed to improve the performance of students across Kenya and Sub-Saharan Africa.
M-Shule is an AI/SMS platform that analyzes the student progress and performance and provides personalized learning content to the user according to their abilities. The application has a machine learning algorithm that understands each individual child’s competency and delivers the right lesson for them at the right time. This product was developed by M-Shule.
Goal 4: Quality education
Users have to send “MSHULE” to 40606 to get access to the services.
Mobile Internet, SMS, voice, Fixed Internet, Wi-Fi, etc
2G, 3G, 4G, LTE, broadband, dial-up, other [specify]
Smartphone, feature phone, computer, tablet, other [specify]
bluetooth, Wifi, camera, IVR, GPS, Accelerometers/Motion sensors, physiologic biosensors, biometric identifiers, SIM, Memory card (e.g microSD), other [specify]
Connectivity requirement for the product/service to work. Some apps/services can work offline.
he product/service able to receive and send back information to the user?
Support according to the literacy level required from the user. If no, the user is intended to be literate.
Android, IOs, Windows, or other [specify]
Uninterrupted power supply (UPS), ocassional power supply [minimum time required], other
education equipment, educational behavior change, human resource management, decision support, data collection & analytics, electronic education records, education provider, stock management, special education surveillance and reporting
M-Shule is an AI/SMS platform that analyzes the student progress and performance and provides personalized learning content to the user according to their abilities. The application has a variety of mini-lessons designed to help students in their study process. A machine learning algorithm analyzes the student progress and performance and delivers personalized lessons to the student through SMS.
The application is built on top of Ruby on Rails and Laravel.
This product aims to improve the performance of students in Africa
No testing has been completed.
No known safety hazards are related to this product.
Kehdinga, G., 2020. Theorising Machine Learning as an alternative pathway for higher education in Africa. International Journal of Education and Practice
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