Alternative Title
Concept Mapping in the Artificial Intelligence (AI) Era: Designing Assignments with AI that Transform Student Learning - A Student and Faculty Perspective
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)
Location
Seminole A
Start Date
28-5-2025 3:30 PM
End Date
28-5-2025 3:55 PM
Publisher
University of Central Florida Libraries
Keywords:
Concept mapping; Artificial intelligence; Deep learning; Critical thinking; Assignment design
Subjects
Artificial intelligence--Computer-assisted instruction; Concept mapping; Artificial intelligence--Study and teaching; Critical thinking--Computer-assisted instruction; Concept learning--Study and teaching
Description
Explore how to design effective concept mapping assignments that promote deep learning while using AI as a teaching assistant. Based on Novak's theory of meaningful learning through concept mapping, this session demonstrates how to leverage AI for assignment design while ensuring students engage in authentic cognitive work. A former student shares their transformative journey with concept mapping, highlighting how it enhanced their learning in ways AI cannot replicate. Learn to create assignments that build critical thinking while resisting AI replication
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Instructional designers
Recommended Citation
Smith, Jo Ann and Martin, Erica, "Concept Mapping in the AI Era: Designing Assignments with AI that Transform Student Learning - A Student and Faculty Perspective" (2025). Teaching and Learning with AI Conference Presentations. 69.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/69
Concept Mapping in the AI Era: Designing Assignments with AI that Transform Student Learning - A Student and Faculty Perspective
Seminole A
Explore how to design effective concept mapping assignments that promote deep learning while using AI as a teaching assistant. Based on Novak's theory of meaningful learning through concept mapping, this session demonstrates how to leverage AI for assignment design while ensuring students engage in authentic cognitive work. A former student shares their transformative journey with concept mapping, highlighting how it enhanced their learning in ways AI cannot replicate. Learn to create assignments that build critical thinking while resisting AI replication
Accessibility Statement
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