1. Introduction to Differentiated Instruction with AI
Differentiated instruction with AI enables educators to create personalized learning pathways for every student, supporting diverse learners across K-12 classrooms. Utilizing adaptive teaching technology and Universal Design for Learning (UDL) principles, AI tools foster student engagement and scaffolded reading activities tailored to individual needs. This guide explores practical applications of AI for classroom differentiation, helping teachers meet each learner where they are.
2. Choice Board (UDL): Empowering Student Agency
The Choice Board (UDL) tool aligns with Universal Design for Learning to offer students personalized options for engaging with content. By differentiating assignments according to interests and learning styles, this tool promotes inclusive education and enhances motivation.
Step-by-Step
- Identify the assignment or topic to differentiate.
- Use the Choice Board (UDL) tool to generate multiple activity options.
- Customize the board to include varied formats and difficulty levels.
- Share the choice board with students to allow personalized learning pathways.
3. Text Leveler: Adapting Reading Materials
To support diverse learners, reading materials need to be accessible yet challenging. The Text Leveler tool uses AI to modify text complexity by simplifying vocabulary and sentence structure, matching each student's reading level. This adaptive teaching technology K-12 ensures all students can meaningfully access content.
Step-by-Step
- Select the text or lesson content to modify.
- Input the text into the Text Leveler tool.
- Specify the target reading level or grade.
- Generate a leveled version that supports comprehension and engagement.
4. Text Scaffolder: AI Scaffolded Reading Activities
The Text Scaffolder tool breaks down complex texts into scaffolded segments with guiding questions and vocabulary support. This scaffolding enhances understanding and supports gradual mastery for all learners, an essential part of personalized learning pathways K-12.
Step-by-Step
- Input the original reading passage into the Text Scaffolder.
- Select scaffolding options such as vocabulary definitions and question types.
- Generate scaffolded text with integrated supports.
- Use the scaffolded passages in lessons to support diverse learner needs.
5. Student Work Feedback: Supporting Growth with AI
Timely and personalized feedback is vital for student progress. The Student Work Feedback tool helps teachers deliver specific, actionable comments aligned with individual learning pathways. This AI tool enhances student engagement and supports formative assessment in differentiated instruction.
Step-by-Step
- Collect student work from differentiated assignments or activities.
- Use the Student Work Feedback tool to input the work and evaluation criteria.
- Generate customized feedback highlighting strengths and areas for improvement.
- Share feedback with students to guide their learning journey effectively.