To develop a Gen AI-powered teaching assistant that uses the Socratic method to teach students about Data Structures and Algorithms, specifically focusing on Sorting Algorithms, we can follow these steps:

Define the Scope: Narrow down the topic to Sorting Algorithms, which includes algorithms like Bubble Sort, Merge Sort, Quick Sort, etc.

Create a Question Bank: Develop a comprehensive set of probing questions that guide the student through understanding and solving problems related to sorting algorithms.

Implement a Decision Tree: Use a decision tree to determine the next question based on the student's previous answers.

Develop the AI Model: Train an AI model to understand the student's responses and navigate the decision tree accordingly.

User Interface: Create a user-friendly interface where students can interact with the AI assistant.

Pseudocode for the AI Assistant

Initialize the System:
Load the question bank.
Initialize the decision tree.

Start the Session:
Greet the student and ask the initial question.

Process Student's Response:
Analyze the student's response.
Navigate the decision tree to determine the next question.
Ask the next question.

Loop Until Learning Objective is Met:
Continue the question-response loop until the student demonstrates understanding.

Provide Feedback:
Offer feedback based on the student's performance.

Explanation
Question Bank: The questionBank object contains the questions and the next question IDs based on whether the response is correct or incorrect.

Decision Tree: The decisionTree object maps each question ID to its corresponding question and the next question IDs.

SocraticAssistant Class: This class manages the flow of questions and responses.

askQuestion(): Displays the current question.

processResponse (response): Processes the student's response and determines the next question based on whether the response is correct.

checkResponse(response, questionId): Checks if the response is correct by comparing it