Amark Website

A web-based platform for evaluating answers.

Description

Amark is a web-based platform designed for evaluating answers using a scoring system. It is part of a research project conducted by AI4A Lab. The platform allows users to log in, select a question category, and score answers based on predefined criteria. The scores and justifications provided by users are used for academic and research purposes, including the development of AI models.

Overview

The Amark website consists of several pages, including a login page, an answer marking page, and a status page. Users can log in with their credentials, select a question category, and provide scores and justifications for the scoring. The platform ensures data security and privacy while collecting valuable data for research.

Features

• User Authentication: Secure login system for users.
• Question Category Selection: Users can select from various question categories.
• Multitude of Data: The platform shows question, student answer, correct answer, question category, and question rating.
• Answer Marking: Users can score student answers and provide justifications.
• Data Encryption: User data is encrypted for security.
• Responsive Design: The website is optimized for various screen sizes.
• Consent Form: Users must agree to a consent form before participating.

Workflow

1. Login: Users log in using their name, registration ID, email, and phone number.
2. Select Category: Users select a question category from the dropdown menu.
3. Answer Marking: Users score the displayed student answer, taking additional data under consideration and provide a justification for the score.
4. Submit Score: The score and justification are submitted and stored in the database.
5. Next Question: The next question is fetched and displayed for marking.

Technology Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Python (Flask)
• API: RESTful API
• Server: Gunicorn
• Dataset: MongoDB (for storing user data and scores)
• Database: Google Sheets (for storing user credentials and some data)
• Hosting: Heroku

Files and Directories

• HTML: HTML files of the website.
  • index.html: The login page.
  • amark.html: The answer marking page.
  • status.html: The status page displaying remaining questions.
• css/: Directory containing CSS files for styling.
  • styles_index.css: Styles for the login page.
  • styles_amark.css: Styles for the answer marking page.
  • styles_status.css: Styles for the status page.
• js/: Directory containing JavaScript files for functionality.
  • script_index.js: Script for the login page.
  • script_amark.js: Script for the answer marking page.
  • script_status.js: Script for the status page.

Important Information

• Users must agree to the consent form before participating in the research.
• This project is licensed under the GNU General Public License v3.0. See the LICENSE file for more details.
• This website is developed for a research project and is subject to updates and intellectual property rights. For more details contact us via email (ai4a.lab@outlook.com).
• The server-side code and API integration details can be made available upon request. Please contact us via email (ai4a.lab@outlook.com) for more information.

Author

• Farhan Sheth (Phantom-FS)
• Date: 2024-03-01
• GitHub: Phantom-FS
• LinkedIn: Farhan Sheth