https://github.com/hkust-vislab/visual-analytics-approach-online-proctoring
CHI2021 - A Visual Analytics Approach to Facilitate Proctoring of Online Exams
https://github.com/hkust-vislab/visual-analytics-approach-online-proctoring
Last synced: over 1 year ago
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CHI2021 - A Visual Analytics Approach to Facilitate Proctoring of Online Exams
- Host: GitHub
- URL: https://github.com/hkust-vislab/visual-analytics-approach-online-proctoring
- Owner: HKUST-VISLab
- License: mit
- Created: 2020-12-29T07:53:47.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-09-17T06:26:46.000Z (almost 5 years ago)
- Last Synced: 2025-01-10T23:27:09.309Z (over 1 year ago)
- Language: Vue
- Size: 2.74 MB
- Stars: 7
- Watchers: 5
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# A Visual Analytics Approach to Facilitate Proctoring of Online Exams
This paper is accepted to CHI21.
## How to use it?
Step 1: go the folder "client" and typing in command ```npm install``` to install the front end dependencies.
Step 2: unzip all json files in data.zip in server/static
Step 3: run the backend by typing in the command ```python run-data-backend.py```
Step 4: run the frontend by typing in the command ```npm run serve```
## Backend package version
|Package Name | Version|
|----|----|
|flask|1.1.1|
flask-cors | 3.0.8
flask-pymongo | 2.3.0
gevent | 1.4.0
pandas | 0.25.1
pydash | 4.8.0
numpy | 1.17.2
pymongo | 3.11.0
## Others
1. Demo data is available upon request.
2. Please use Chrome to open the system
3. To have best experience, please use MacBook Pro 16 and adjust the Zoom level of Chrome to 80%.
4. Since it is a prototype, perhaps it is not perfect. We welcome any suggestions.
5. If you find our code or paper is helpful to your research, please kindly cite our paper as below:
```
@inbook{li2021proctoring,
author = {Li, Haotian and Xu, Min and Wang, Yong and Wei, Huan and Qu, Huamin},
title = {A Visual Analytics Approach to Facilitate the Proctoring of Online Exams},
year = {2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
articleno = {682},
numpages = {17}
}
```