Giter Club home page Giter Club logo

gradetools's Introduction

gradetools a hex shaped logo with a cat in front of a laptop sending out paper planes and a notepad with A+ on it. The logo reads gradetools

gradetools is created with data science instructors in mind. Assessing students with open-ended assignments (e.g. projects, interpretation questions) can be impactful but can also be arduous when it comes to grading. gradetools supports grading assessments for which automated feedback is not possible.

gradetools aims to do two major things:

  1. Automate the grading workflow not the feedback.
  2. Minimize switching between different interfaces (grade book, student's work, GitHub etc.)

The functions in gradetools allow the grader to:

  • efficiently grade assignments in several formats (e.g. .R, .Rmd, .py, .txt);
  • specify the rubric and modify it dynamically while grading;
  • save a final grade sheet with all assigned grades;
  • save a personalized feedback file for each student;
  • grade both individual and team-based assignments;
  • regrade specified students and questions;
  • push feedback and create GitHub issues into students' GitHub repos.

The package has only been tested with RStudio GUI.

Vignettes

Throughout the vignettes we provide example grading scenarios that you can use to test the functions. There are currently four vignettes available.

  1. How to grade with gradetools: For beginner users we recommend starting with this vignette.
  2. How to regrade assignments with gradetools: This vignette shows how to change previously assigned grades.
  3. Extended gradetools Capability: Team Grading: This vignette is only relevant for grading assignments that are team-based.
  4. Extended gradetools Capability: Assignments on GitHub: This vignette is only relevant for assignments that are on GitHub.
  5. Comprehensive example of grading with gradetools: This is a showcase of most of gradetools' capabilities.

Workshop

You can watch this tutorial to learn more about what gradetools was created for and how to use it.

Installation

You can install the development version from GitHub. You would also need to install the devtools package if you do not have it installed already.

#install.packages
devtools::install_github("federicazoe/gradetools")

Support

HPI logo

Part of this work is supported by NSF HDR DSC award #2123366.
NSF logo This work is also supported by the HPI Research Center in Machine Learning and Data Science at UC Irvine.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.