Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/ucfopen/obojobo

Next generation course content for your LMS. Easy for beginners, but powerful enough for researchers.
https://github.com/ucfopen/obojobo

canvaslms edtech education hacktoberfest lms lti react slatejs

Last synced: 4 days ago
JSON representation

Next generation course content for your LMS. Easy for beginners, but powerful enough for researchers.

Awesome Lists containing this project

README

        

# Obojobo Next

[![All Contributors](https://img.shields.io/badge/all_contributors-21-orange.svg?style=flat-square)](#contributors-)

Obojobo Next is a modern educational content ecosystem. Obojobo documents are programmable, extend-able, and heavily fortified with data analytics.

Our focus is on making and delivering fantastic learning content to students. Obojobo is not a [Learning Management System](https://en.wikipedia.org/wiki/Learning_management_system). Rather, it's an incredibly powerful content engine for use inside your LMS.

View the [Obojobo Next Documentation](https://ucfopen.github.io/Obojobo-Docs/).

[Join UCF Open Slack Discussions](https://dl.ucf.edu/join-ucfopen)
[![Join UCF Open Slack Discussions](https://badgen.net/badge/icon/ucfopen?icon=slack&label=slack&color=purple)](https://dl.ucf.edu/join-ucfopen)

The previous version of Obojobo, renamed to Obojobo Classic, is located here: https://github.com/ucfopen/Obojobo-Classic

## The Obojobo Mission

To keep our collective efforts aimed in the same direction, we've outlined what we want Obojobo to be:

1. UI/UX focused design that ensures a satisfying & enjoyable student experience.
2. Low barrier of entry for content creators. Creating content is as easy as writing a document in Word.
3. Research centric design. Obojobo aims to be the premiere [research-enabling learning platform](https://github.com/ucfopen/Obojobo/wiki/Published-Research-Using-Obojobo-Next) by providing high resolution data, partnering with researchers, and including proven research outcomes back into the platform.
4. Extraordinary practice and assessment tools that enable emerging teaching and learning models.
5. Provide innovative new capabilities in online, blended, and mixed mode courses.
6. Architecturally extensible and modular. Obojobo Next is easy to customize and extend.

## Requirements

- [Node](https://nodejs.org/) & [Yarn](https://yarnpkg.com/)
- [PosgreSQL](https://www.postgresql.org/) Database
- [Docker](https://www.docker.com/) (for development)

## Quick Heroku Deploy

We added Heroku support as an easy way to give Obojobo a **free test drive** (or scale it up for production use).

[![Deploy Obojobo to Heroku](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy/)

> [Heroku](https://www.heroku.com/what) is a cloud service that lets you host web apps in the cloud without having to worry so much about the infrastructure.

## Development Setup

1. Clone this repo
2. Run `yarn install` to install dependencies
3. Run `yarn db:rebuild` to setup the database in a Docker container
4. Run `yarn dev` to start the development express server
5. Visit [https://127.0.0.1:8080](https://127.0.0.1:8080) - You should see "Welcome to Obojobo Next"

> Familiarize yourself with the **scripts** section of package.json.

### Dev Shortcuts

[https://127.0.0.1:8080/dev](https://127.0.0.1:8080/dev) has a bunch of links that'll simulate all of the LTI integrations Obojobo supports. Use these to quickly log in and test out the different launch modes.

This route is only available in development mode. In production, the only way to log in is through an LTI launch from an LMS.

### Logging in

To view the example object you need to login via an LTI launch. Instructions are available in Obojobo: [https://127.0.0.1:8080/lti](https://127.0.0.1:8080/lti)

### Create New Documents:

Once logged in, visit [https://127.0.0.1:8080/editor](https://127.0.0.1:8080/editor). Click **+ Create New Draft** to get started.

### Testing

`yarn test` or `yarn test:ci`

### Special Thanks

Support for this work was provided by the National Science Foundation Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program under [Award No.1643835](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1643835). Any opinions, findings, conclusions and recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):



deundrewilliams

💻 👀 ⚠️

Steve Jacques

💻 ⚠️ 👀 🐛

walid-i

💻 ⚠️

Jacob Peterson

💻 ⚠️ 👀 🐛

Mauricio Costa

💻 ⚠️ 👀 🐛

Toan Vu

💻 🤔 👀 ⚠️

Cameron Cuff

💻 🤔 👀 ⚠️



AnthonyRodriguez726

💻 👀 ⚠️

Ralph Baird

💻 👀 ⚠️

Corey Peterson

💻

Sid

💻 ⚠️

Jonathan Guilbe

💻 ⚠️

Keegan Berry

💻 ⚠️

Adrian Fish

💻 🐛 🤔



Brandon Stull

🐛 💻 📖 🤔 🚧 📆 ⚠️ 🔧 👀

Shea

📖

Samuel Belcastro

💻 ⚠️

Ryan Eppers

🐛 💻 📖 🤔 🚧 📦 💬 👀 🔧 👀

Elli Howard

️️️️♿️ 💻 📖 🤔 🚧 👀 ⚠️

Ian Turgeon

💻 📖 ⚠️ 🤔 🚇 📦 📆 🚧 👀 🔧

Zachary Berry

💻 🖋 📖 🎨 🤔 📆 👀 🔧

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!