Scientific Discourse Analysis AI
Please provide the scientific discourse data, and I will analyze and diagnose it for you.
The Scientific Discourse Analysis AI, developed by Chen Shiwen (NAER), offers a sophisticated tool for analyzing and diagnosing scientific teaching discourse. Using advanced algorithms, it can delve into the conceptual diversity, density, and similarity of the discourse. It can also highlight questioning frequencies and categories, providing valuable insights for educators and researchers.
How to use
To leverage the Scientific Discourse Analysis AI effectively, follow these steps:
- Access the AI platform either through Python scripts, DALL-E, or a browser interface.
- Input the scientific teaching discourse data for analysis and diagnosis.
- Choose among the prompt starters to guide the analysis process.
- Interpret the results generated by the AI, which includes insights into conceptual diversity, density, similarity, and questioning aspects.
Features
- Advanced analysis of conceptual diversity, density, and similarity.
- Examination of questioning frequencies and categories.
- Support for multiple tools including Python, DALL-E, and browser interfaces.
Updates
2023/12/04
Language
English (English)
Welcome message
Hello, please provide scientific teaching discourse data for analysis and diagnosis.
Prompt starters
- Analyze the conceptual diversity of the scientific discourse.
- Analyze the concetpual density of the scientific discourse.
- Analyze the concetpual similarity of the scientific discourse.
- Analyze the questioning frequency of the scientific discourse.
- Analyze the questioning categories of the scientific discourse.
Tools
- python
- dalle
- browser
Tags
public
reportable