Updated on June 11, 2024

·

Created on October 12, 2020

M-Shule

M-Shule is a mobile learning platform designed to improve the performance of students across Kenya and Sub-Saharan Africa.

Developed By
  1. M-shule
Content Partners
Unknown

Author

Product Description

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.

Target SDGs

SDG 4: Quality Education

SDG 10: Reduced Inequalities

Target Users (Target Impact Group)

Household

Distributors / Implementing Organizations

M-Shule

Competitive Landscape

Direct competitors include KCPE Revision, Hadithi! Hadithi!, and M-Lugha.

Manufacturing/Building Method

N/A

Intellectural Property Type

Trademark

User Provision Model

Users have to send "MSHULE" to 40606 to get access to the services.

Distributions to Date Status

Unknown

Telecommunication service required

SMS

Level of connection service needed

GSM, 2G, 3G, 4G

Device(s) required

Basic Phone

Additional features required

None

Permanent network connectivity required (Y/N[specify],Other [specify])

No

Two way communication (Y/N)

Yes

Usage rate (%)

Unknown

Literacy support (Y (specify) /N)

Yes

Languages available (list)

English and Swahili

Operating system and version

Android

Power requirements

N/A

eEducation application

Education Provider

Design Specifications

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.

Product Schematics

Technical Support

Provided by the developers of the app.

Replacement Components

N/A

Lifecycle

N/A

Manufacturer Specified Performance Parameters

This product aims to improve the performance of students in Africa

Vetted Performance Status

No testing has been completed.

Safety

No known safety hazards are related to this product.

Complementary Technical Systems

N/A

Academic Research and References

Kehdinga, G., 2020. Theorising Machine Learning as an alternative pathway for higher education in Africa. International Journal of Education and Practice

“M-Shule.” n.d. Mshule.Com. Accessed June 11, 2024. https://www.mshule.com/

“Goal 4.” n.d. Sdgs.Un.Org. Accessed June 10, 2024. https://sdgs.un.org/goals/goal4

“M-Shule.” n.d. ZoomInfo. Accessed June 11, 2024. https://www.zoominfo.com/c/m–shule/449048374

Compliance with regulations

Unknown

Evaluation methods

Unknown

Other Information

More information in this video.

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