AI Practice for Teacher Educators Day 8: AI for Personalized Learning

 AI Practice for Teacher Educators Day 8: AI for Personalized Learning


Welcome to Day 8 of this exciting 100-day exploration of AI in education! Today, we’ll focus on how AI can support personalized learning to meet the unique needs of every student. From differentiated instruction to adaptive content, AI provides tools that cater to individual learning paces and styles.


Why Personalize Learning with AI?

  1. Address Individual Needs:

    • AI tailors content to match students' proficiency levels and learning styles.
  2. Increase Engagement:

    • Personalized materials keep students motivated and invested in their learning journey.
  3. Enhance Efficiency:

    • AI streamlines the process of creating differentiated resources, saving you valuable preparation time.

AI Tools for Personalized Learning

  1. DreamBox Learning:

    • Adaptive math lessons for K-8 students.
  2. Khan Academy’s AI Features:

    • Provides personalized practice and feedback.
  3. ReadTheory:

    • Tailored reading comprehension exercises.
  4. ClassCraft:

    • Engages students with gamified, personalized learning journeys.

Practical Activity: Design a Personalized Lesson with AI

  1. Choose a Subject:

    • Select a topic where students often have varied levels of understanding (e.g., fractions, essay writing).
  2. Pick an AI Tool:

    • Example: Use DreamBox to assign math activities based on students’ current skill levels.
    • Example: Use Khan Academy’s AI to suggest tailored practice problems.
  3. Monitor and Adjust:

    • Use AI-generated reports to identify progress and areas needing additional support.
  4. Reflect and Iterate:

    • Gather student feedback on the personalized activities and refine your approach.

Sample Workflow

Subject: Reading Comprehension (Grade 6 English)

  • Tool: ReadTheory
  • Process:
    1. Assign ReadTheory exercises to assess baseline comprehension levels.
    2. Use AI-generated results to group students for targeted instruction.
    3. Provide supplemental materials for advanced learners and additional practice for struggling students.

Reflection Questions

  • How did AI simplify the process of personalizing learning?
  • What impact did the personalized activities have on student outcomes?

Handy Tip: Focus on Growth

  • Encourage students to track their own progress using AI tools. This promotes self-reflection and accountability.

Next Steps

  • Resource Suggestion: Explore "Personalized Learning with AI" on Edutopia for more strategies.
  • Prepare for Day 9: AI-Driven Research Assistance. Reflect on how AI could support your own professional growth and research.

Keep embracing the potential of AI to transform teaching and learning!