Spaces:
Running
Running
File size: 2,044 Bytes
9c3ca76 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
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() |