AI in education and personalized learning in AI for Everyone - Mini Project: Build & Apply

AI in Education and Personalized Learning

📖 Scenario: You are working in a school that wants to use AI to help students learn better. The school wants to create a simple plan to show how AI can personalize learning for each student based on their needs.

🎯 Goal: Build a step-by-step plan that shows how AI can collect student data, set learning goals, create personalized lessons, and track progress to help each student learn in their own way.

📋 What You'll Learn

Create a dictionary with student names and their current skill levels

Add a target skill level for each student as a configuration

Use a loop to create personalized learning plans based on current and target skill levels

Add a final summary that shows the personalized learning plan for each student

💡 Why This Matters

🌍 Real World

Schools and online learning platforms use AI to understand each student's strengths and weaknesses, then create lessons that fit their needs.

💼 Career

Understanding AI in education helps educators, curriculum designers, and edtech developers create better tools that support personalized learning.

1

Create student skill data

Create a dictionary called student_skills with these exact entries: 'Alice': 3, 'Bob': 5, 'Charlie': 2. These numbers show each student's current skill level from 1 to 5.

AI for Everyone

# Create the student_skills dictionary with exact entries
# Your code here

Need a hint?

Use curly braces to create a dictionary and add the exact names and numbers as keys and values.

2

Set target skill levels

Create a dictionary called target_skills with these exact entries: 'Alice': 5, 'Bob': 5, 'Charlie': 4. These numbers show the skill level each student should reach.

AI for Everyone

student_skills = {'Alice': 3, 'Bob': 5, 'Charlie': 2}
# Create the target_skills dictionary with exact entries
# Your code here

Need a hint?

Use a dictionary like in step 1 but with the new target skill numbers.

3

Create personalized learning plans

Use a for loop with variables student and current_level to iterate over student_skills.items(). Inside the loop, create a dictionary called learning_plans before the loop, then add each student's plan as the difference between their target and current skill levels.

AI for Everyone

student_skills = {'Alice': 3, 'Bob': 5, 'Charlie': 2}
target_skills = {'Alice': 5, 'Bob': 5, 'Charlie': 4}
learning_plans = {}
# Use a for loop to create learning plans
# Your code here

Need a hint?

Start with an empty dictionary, then fill it inside the loop by subtracting current from target skill levels.

4

Summarize personalized learning plans

Add a final dictionary called personalized_learning_summary that combines student_skills, target_skills, and learning_plans for each student. Use a for loop with student in student_skills to create a nested dictionary with keys 'current', 'target', and 'to_learn'.

AI for Everyone

student_skills = {'Alice': 3, 'Bob': 5, 'Charlie': 2}
target_skills = {'Alice': 5, 'Bob': 5, 'Charlie': 4}
learning_plans = {}
for student, current_level in student_skills.items():
    learning_plans[student] = target_skills[student] - current_level
personalized_learning_summary = {}
# Use a for loop to create the summary
# Your code here

Need a hint?

Create a new dictionary with each student's current, target, and to-learn skill levels grouped together.