Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| def main(): | |
| app_description = """ | |
| # About Exam Kiosk | |
| **Exam Kiosk** is an innovative platform designed to deliver exams generated using the powerful **Nvidia Nemotron AI Model**, providing a seamless and interactive experience for students to take these exams. While the kiosk primarily supports Nemotron-generated exams, it can also handle manually prepared exams. However, manual exam support is an **unsupported feature**. | |
| --- | |
| ## **How It Works** | |
| The **Nemotron Exam Creator** produces exams in a standardized JSON format that includes the exam's structure and content. The Exam Kiosk processes this JSON data and transforms it into a user-friendly interface where students can take their tests efficiently. | |
| --- | |
| ## **Key Features** | |
| - **Accurate Tracking**: | |
| - Monitors correct answers. | |
| - Records the time taken to answer each question and complete the test. | |
| - **Data-Driven Insights**: | |
| - Collects detailed performance data for analysis. | |
| - Enables the foundation for adaptive learning strategies. | |
| - **Comprehensive Reporting**: | |
| - Generates item analyses to evaluate the quality of questions. | |
| - Measures both individual and class performance. | |
| - Provides actionable recommendations for fostering adaptive learning environments. | |
| --- | |
| ## **Why Use Exam Kiosk?** | |
| The Exam Kiosk bridges the gap between cutting-edge AI-driven exam creation and robust, data-driven assessment delivery. By leveraging the advanced capabilities of the **Nvidia Nemotron AI Model**, the platform empowers educators with insights and tools to enhance student learning outcomes effectively. | |
| Discover the future of exams with **Exam Kiosk**! | |
| App Version: 1.0 | |
| Created by: Louie F. Cervantes, M.Eng. (Information Engineering) | |
| Computer Science Department | |
| College of Information and Communications Technology | |
| West Visayas State University (C) 2025 """ | |
| st.markdown(app_description) | |
| if __name__ == "__main__": | |
| main() |