/React-TODo

Learning route implementation using knowledge space theory in Python and R. First creating states, content + illustration and question app. 1. Associating user with his current state --> Assessment Why we need any such system with us? Our main objective is to prepare students to succeed in regular classes by helping them to deepen their understanding of the concepts, retain the material, and be confident in their learning ability. Make students now more engaged because they should not feel that they are so far behind in a lesson. Make the system run with them. A system and a platform which is web-based, artificially intelligent learning and assessment system, uses adaptive questioning to quickly and accurately determine exactly what a student knows and doesn’t know within a course and within a chapter. It then instructs the student on the topics they are most ready to learn. As a student works through a course, it periodically reassesses the student to ensure that topics learned are also retained. If students feels difficulty then: work through concepts they don’t understand using the system thorough explanations. And once they master the concept and move on, there is a great sense of accomplishment. Introducing Badges and reward at this point of time. Display the data of each student: A customised pie chart shows what the student knows and what the student has yet to learn. As the pie chart changes and the mastered portion grows, students can feel a sense of accomplishment in their progress and motivation in their learning.

Primary LanguageJavaScript

Getting Started with Create React App

This project was bootstrapped with Create React App.

Available Scripts

In the project directory, you can run:

npm start

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Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
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npm test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

npm run build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

npm run eject

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Code Splitting

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Analyzing the Bundle Size

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Making a Progressive Web App

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Deployment

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npm run build fails to minify

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