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elearning-grading-0.2.2


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توضیحات

Python utilities to help Teaching Assistants grade assignments with eLearning
ویژگی مقدار
سیستم عامل -
نام فایل elearning-grading-0.2.2
نام elearning-grading
نسخه کتابخانه 0.2.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Maxwell Weinzierl
ایمیل نویسنده maxwell.weinzierl@utdallas.edu
آدرس صفحه اصلی https://github.com/Supermaxman/elearning-grading
آدرس اینترنتی https://pypi.org/project/elearning-grading/
مجوز Apache-2.0
<div align="center"> # eLearning Grading **Python utilities to help Teaching Assistants grade assignments with eLearning** ______________________________________________________________________ [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/elearning-grading)](https://pypi.org/project/elearning-grading/) [![PyPI Status](https://badge.fury.io/py/elearning-grading.svg)](https://badge.fury.io/py/elearning-grading) [![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/Supermaxman/elearning-grading/blob/master/LICENSE.txt) </div> ______________________________________________________________________ ## eLearning Grading This repository contains python scripts and tools to help Teaching Assistants using eLearning's assignment download feature to organize and grade written, typed, and programming assignments. ## How To Use ### Installing from pip ```bash pip install elearning-grading ``` ### Installing from GitHub ```bash git clone https://github.com/Supermaxman/elearning-grading cd elearning-grading pip install -e . ``` ### Organizing code and reports eLearning provides the `Assignment File Download` feature for Teaching Assistants to download assignment files for the entire class. Sadly, this feature makes grading assignments extremely tedious, as the .zip file provided usually looks like this (simulated): <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex1.PNG?raw=true" width="400px"> </div> With each student submission zip file populated with user-submitted content: <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex2.PNG?raw=true" width="400px"> </div> These archives could be .zip, .tar, .tar.gz, .rar, or more file types, and there could be multiple files for each student in the eLearning zip file. `elearning-grading` helps manage this chaos by organizing files and folders based on student netids, and splitting code and pdf reports. The `elg-org` tool works as follows: ```bash elg-org --help usage: elg-org [-h] [-i INPUT_PATH] [-c CODE_PATH] [-r REPORTS_PATH] optional arguments: -h, --help show this help message and exit -i INPUT_PATH, --input_path INPUT_PATH filepath to .zip file from eLearning. -c CODE_PATH, --code_path CODE_PATH output folder for code, organized by netid. -r REPORTS_PATH, --reports_path REPORTS_PATH output folder for pdf reports, organized by netid. ``` For example, the above simulated eLearning submission zip file is organized like so: ```bash elg-org -i tests/gradebook_7366-LRWYV-CO-3865-SEC000_Test207_2022-02-24-11-32-57.zip ``` PDF or DOCX reports are organized into the `reports` folder, while everything else is considered potential `code` and is moved into the `code` folder. <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex3.PNG?raw=true" width="300px"> </div> Each folder is organized by student netid as follows: <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex4.PNG?raw=true" width="300px"> </div> Where reports are included in `reports` folder for each netid: <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex5.PNG?raw=true" width="300px"> </div> And code is included in the `code` folder for each netid: <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex6.PNG?raw=true" width="300px"> </div> This organization structure makes grading much easier, as everything is organized by netid and written reports are clearly marked for grading. ### Generating simulated eLearning .zip files eLearning's `Assignment File Download` feature provides extremely unpredictable student zip files, as each student can upload whatever they want. `elearning-grading` provides the `elg-gen` utility, which generates synthetic, random files in the unpredictable format of eLearning. `elg-gen` ensures that utilities within this library are tested against unexpected student file formats. `el-gen` documentation: ```bash elg-gen --help usage: elg-gen [-h] [-o OUTPUT_PATH] [-n NUM_STUDENTS] [-s SEED] [-t TYPE] optional arguments: -h, --help show this help message and exit -o OUTPUT_PATH, --output_path OUTPUT_PATH filepath to create test .zip file from eLearning. -n NUM_STUDENTS, --num_students NUM_STUDENTS Number of students to put in file. -s SEED, --seed SEED Seed of RNG. -t TYPE, --type TYPE Type of data to generate. Options: pdf: only generates pdf files. pdf-zip: only generates pdf files inside zip files.pdf-code-zip: generates pdf file and code files inside zip files.pdf-code-full: generates pdf file and code files inside various compressed files. ``` `el-gen` usage: ```bash elg-gen -n 5 \ --output_path tests \ --type pdf-code-full \ --seed 1 ``` This will generate an eLearning `Assignment File Download` file format filled with random data, such as the following: `gradebook_7366-LRWYV-CO-3865-SEC000_Test207_2022-02-24-11-32-57.zip` <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex1.PNG?raw=true" width="300px"> </div> With each student submission zip file populated with random content: <div align="left"> <img src="https://github.com/Supermaxman/elearning-grading\blob/master\docs/images/ex2.PNG?raw=true" width="300px"> </div> ### Identifying project members ```bash TODO ``` ### Organizing project code and reports ```bash TODO ``` ## About Me My name is [Maxwell Weinzierl](https://personal.utdallas.edu/~maxwell.weinzierl/), and I am a Natural Language Processing researcher at the Human Technology Research Institute (HLTRI) at the University of Texas at Dallas. I am currently working on my PhD, which focuses on COVID-19 and HPV vaccine misinformation, trust, and more on Social Media platforms such as Twitter. I am also a Graduate Teaching Assistant for the AI, NLP, and IR classes of Dr. Harabagiu.


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl elearning-grading-0.2.2:

    pip install elearning-grading-0.2.2.whl


نصب پکیج tar.gz elearning-grading-0.2.2:

    pip install elearning-grading-0.2.2.tar.gz