Title - Alternative
Balancing Support and Challenge for Twice-Exceptional Learners through Artificial Intelligence-Infused Lesson Design
Date Created
12-10-2025
Institution Type
Doctorate-granting university
Course Level
Graduate
Modality of Lesson
Online
Category
Task Execution with Human Oversight
Primary AI Tool Used
ChatGPT
Learning Objectives
- Apply Universal Design for Learning (UDL) principles to create lessons that address both strengths and needs of twice-exceptional learners.
- Use AI to design instructional pathways that incorporate scaffolds for access and challenges that promote higher-order thinking.
- Critically evaluate AI-generated outputs for accuracy, appropriateness, and inclusivity.
- Reflect on the complexity of inclusive teaching and the professional responsibility of balancing support with rigor.
Strategy Description
This strategy prepares graduate teacher candidates to design inclusive lessons for twice-exceptional (2e) learners, or talented students with disabilities, by using AI to infuse both scaffolds for access and enrichments for challenge. Candidates critically evaluate outputs, revising to ensure accuracy, rigor, and alignment with Universal Design for Learning (UDL). The approach models how technology can expand instructional possibilities while reinforcing professional judgment needed to meet the needs of 2e learners.
Publisher
University of Central Florida Libraries
Keywords
Twice-exceptional learners; Universal design for Learning; Inclusive gifted education; Artificial intelligence in teacher preparation; Differentiated instruction
Subjects
Twice-exceptional children; Artificial intelligence--Educational applications; Inclusive education--Planning; Individualized instruction--Planning; Educational technology--Design
Type
Text; Document
Collection
Audience
Faculty; Educators; Instructional designers
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Hughes, Claire E., "Balancing Support and Challenge for Twice-Exceptional Learners through AI-Infused Lesson Design" (2025). Teaching Repository of AI-Infused Learning. 28.
https://stars.library.ucf.edu/traiil/28