Creating your Own Learning Path: Lessons from the Physics Classroom

Authors

Natalia Romero, Florida Atlantic UniversityFollow

Date Created

Winter 12-18-2025

Institution Type

Doctorate-granting university

Course Level

Undergraduate

Modality of Lesson

In-Person

Category

Task Execution with Human Oversight

Primary AI Tool Used

GPT

Learning Objectives

• Develop effective prompting strategies to clarify vocabulary, explore concepts, and build relationships between variables in physics.

• Construct personalized learning paths by leveraging AI to organize study time, review prerequisites, and adapt to individual needs.

• Critically evaluate AI outputs, distinguishing between accurate explanations, partial insights, and errors.

• Apply AI tools to reinforce mathematical foundations, bridging prior math knowledge with new physics applications.

• Demonstrate resilience in problem-solving by reformulating prompts, engaging in Socratic-style dialogue with AI, and persisting through incomplete answers.

• Reflect on metacognitive strategies, recognizing their own learning habits and gaps through extra-credit “learning path” assignments.

Strategy Description

Driving Your Own Learning Path is a strategy that guides students to create personalized AI-supported learning. Students initiate and refine their own prompts, progressing from basic questions to deeper conceptual and relational inquiries while using AI as a thinking partner rather than an answer provider. This approach strengthens self-regulation and metacognitive awareness by allowing students to reflect on their learning process and adapt their study strategies in real time.

Publisher

University of Central Florida Libraries

Keywords

Physics education; AI in higher education; prompting strategies; student agency; self-regulated learning; digital literacy; study planning; metacognition; STEM retention; LLMs; Chatbot

Subjects

Physics--Computer-assisted instruction; Physics--Study and teaching--Methodology; Artificial intelligence--Educational applications; Learning strategies--Study and teaching; Individualized instruction--Planning

Type

Text; Document

Collection

Teaching Repository for AI-Infused Learning

Series

Task Execution with Human Oversight

Audience

Faculty; Students; Educators

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Recommended Citation

Romero, Natalia, "Creating your Own Learning Path: Lessons from the Physics Classroom" (2025). Teaching Repository of AI-Infused Learning. 36.
https://stars.library.ucf.edu/traiil/36