ai-teacher

The image was take from calmatters.org

This is the third year that I am giving the ININ tutorial. With the advances in AI, I am always looking for ways to improve the teaching experience. Last year, I have used the GitHub Copilot to show students how programming can be made easier with AI. This year, I am going to make the course more interactive by constructing a website that students can use to follow the course material, follow the links to interact with ChatGPT and run the code in a Jupyter notebook environment.

Ideally, I would like to have a course that is self-contained and self-paced. Students can follow the course material at their own pace, ask questions to ChatGPT when they are stuck, and run the code in a Jupyter notebook environment to see the results. This way, they can learn by doing and get immediate feedback on their work.

For students, this is a great way to learn new things. For me, it is a nice way to present the course material and interact with the students. Most importantly, both teaching and learning process have to be driven by AI and fun! So, in this course, you will have:

  • a website to follow the course material, to read the blog posts, and to interact with ChatGPT.
  • A website that includes youtube videos, code snippets, math equations, and images.
  • A repository where you can find the code and exercises.
  • A coding environment where you can run the code and see the results.

Here is our roadmap for the course:

  • Lab 0: Get to know Github, Jupyter, Python and R
    • This is a lab where you will learn how to use Github, Jupyter, Python and R.
    • Most of time, you just need to run the code that I have written for you.
    • The theme of the lab is about Drama of Love.
  • Lab 1: Enter the world of Patents
    • This is a lab where you will learn how to query patents from the EPO Linked Open Data.
    • You will learn the basic structure of a patent document, such as title, abstract, claims, and description, etc.
    • You will learn how patent could help us to understand the technology landscape, such as the technology trend of electric vehicles and AI.
  • Lab 2: More about Patents and Community Innovation Survey
    • We will do more analysis on patents
    • We will also learn how to use the Community Innovation Survey to understand the innovation activities of firms.
  • Lab 3: Regression Analysis
    • We will learn how to do regression analysis
    • We will learn how to do regression diagnostics
  • Lab 4: Innovation and Institutions
    • We will use a dataset from a published paper to understand the relationship between innovation and institutions.
    • After this lab, you will have a better understanding of how to use data to answer research questions.
  • Lab 5: Presentation and Writing with Copilot
    • We will learn how to use Copilot to create a presentation and write a paper.
    • You will also learn how to use Latex to manage your references and write a paper with very professional looking.

All learning materials will be posted on this website and this repository.

Some Formatting Examples

The following content is just to show you some formatting examples, which I hope will make your learning experience more enjoyable.

def hello():
    print("Hello, World!")

You can write bash code:

echo "Hello, World!"

You can write sql code:

SELECT * FROM table
WHERE column = 'value';

Let’s try some math:

\[\begin{align*} \frac{1}{2} + \frac{1}{3} &= \frac{5}{6} \\ \end{align*}\]

You can even do math inline: $1 + 1 = 2$ or matrix multiplication:

\[\begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} \begin{bmatrix} 5 & 6 \\ 7 & 8 \end{bmatrix} = \begin{bmatrix} 19 & 22 \\ 43 & 50 \end{bmatrix}\]

Using ChatGPT in the Course

From time to time, I will share links like this one:

You can click on the link and interact with ChatGPT. It is a great way to learn new things and get help with the course material.