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Building solution to acquired the most qualified teachers in our community

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Description

Felt Teachers is a platform that provides qualified teachers to schools and parents for their pupils. It also provides a grading platform where institution (government and international bodies) can use to grade their employed teaching staff. Grading of staff can help ascertain the level of knowledge they posses in their field and thus level of knowledge transferred to pupils.

About

This is a solution that will help substantially increase the supply of qualified teachers in your community. Included is a plan to integrate or collaborate with international co-operations for teachers to be trained in developing countries.

Why

The aim of this project is to solve the problem faced in finding qualified teachers in our secondary schools. The youth they say are the leaders of tomorrow and as such the standard of education they receive is of utmost importance to the development of their community and country at large. Felt Teachers seeks to solve this problem by testing for qualified teachers, providing feedback and study material for teachers, and exposing teachers to international standard training. The platform provides a one-stop-shop for schools, parents, government agencies, and international bodies looking for knowledgable teachers for their pupils, grading platform to ascertain their teacher knowledge, or as a data-source to help during educational interventions.

Usage

How will the community make use of this app?

  • Comunity can make use of this app first by registering, and only qualified teachers are allowed to apply.
  • After successful registration, prospective teachers are required to undertake a test to ascertain their knowledge.
  • The test and other critiria (e.g. interview etc.) would be used to determine if a prospective teacher is qualified or not.
  • Qualified teachers are linked to job placement opportunity within their community.
  • Both qualified and unqualified teachers are provided learning materials to improve their knowlege and unqualified teachers are allowed to re-take the test after a stipulated period.

How will a programmer make use of this app?

  • Get started by cloning the repo git clone https://github.com/BuildForSDG/team-013-Backend.git
  • change into the directory: cd team-013-Backend
  • Install yarn package manager (optional if you prefer npm)
  • Start dev server: yarn dev
  • Start liniting: yarn lint
  • Once the server is started you can us Postman or any other testing tool to test the endpionts.
  • Jest: For runnung tests. We strongly recommend that JavaScript projects use Jest.
  • Yarn: For installing nodejs packages. (optional if you prefer npm)
  • Eslint: For formating code to javascript standard.
  • Babel-node: For transforming es6+ to es5

Prerequisites

  • NodeJS
  • MongoDB
  • Yarn package manager installed in node (for optimal performance)

Technologies

Features

  • User authentication signup and signin
  • User authentication Login and Logout
  • Admin readAll or Get all Teachers
  • Admin deleteAll Teachers
  • Admin and user readOne or GET one Teacher
  • Admin and user deleteOne Teacher
  • Admin, user updateOne Teacher
  • Admin getAllApprovedTeachers

Setup

Install npm or yarn if you dont have any of them already installed. We recommend Yarn though.

After clonning the repo to your local machine and moving into the cloned folder, Run yarn install to get started by installing dependencies.

src/index.js is the entry to the project and source code should go into the src folder.

Run yarn dev or npm run dev to start the development server.

All tests should be written in the __tests__ folder. There's a sample in there.

This starter uses Parcel as the bundler. It is much simpler that WebPack and the others.

A docker-compose.yml file is included which installs and configure mongodb with persistent storage to help speed up development process. Make sure you have docker installed on your system and running. Then navigate to the location of the docker-compose.yml file and run:

docker-compose up

When you are done developing/testing you can run:

docker-compose down

This would shutdown the system.

Hints

  • Run npm install or yarn install to get started. We'll assume you are using Yarn.
  • Install additional dependencies: yarn add <dependency-name> [-D]
  • Run tests: yarn test
  • Run tests with test coverage info: yarn test:cover
  • Check the codebase for proper syntax and formatting compliance: yarn lint
  • Run your app in local dev mode: yarn dev. This puts the bundled app in a dist folder, set up a local web server at localhost:5000 by default, and continues to watch for your code changes which it syncs with the local server. This means if you loaded the app in a browser, it will auto-refresh as you code along.
  • By default, the development server REST API interface can be accessed at localhost:5000/api/
  • The paths are:
  • /health
  • /teachers
  • /teachers/me
  • /teachers/approved
  • /login

Authors

Contributing

If this project sounds interesting to you and you'd like to contribute, thank you! First, you can send a mail to [email protected] to indicate your interest, why you'd like to support and what forms of support you can bring to the table, but here are areas we think we'd need the most help in this project :

  1. Felt Teachers is poised at bridging the gap left by lack of qualified teacher. We are the bridge to providing quality teachers in your community
  2. We want people to opt-in and try using staging app at staging.project-name.com and report any bugs via a form.
  3. We are always pleased to hear your feedback and you can contact us by filling this form at Felt Teacher

Acknowledgements

We would like to thank each team member for the sleepless night put into achieving this dream of eradicating unqualified teachers from our community. We also would like to thank Andela for the opportunity and support which have allowed us achieve this huge step in the history of nigeria.

Documentation

A more robust documentation is under development, as for now feel free to use this README as a starting point.

LICENSE

MIT

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