This project aims to showcase how pedagogical strategies, enhanced by AI technology, improve teaching, learning, and assessment in a hybrid DPT program. Objectives include:
1. Providing evidence of how AI platforms facilitate the implementation metacognitive techniques like distributed and retrieval practice.
2. Demonstrating AI tools for tracking student progress and engagement.
3. Presenting AI-driven software solutions for content delivery, participation monitoring, and early intervention.
The DPT program employs a variety of pedagogical metacognitive strategies to enhance student learning, including distributed practice, retrieval practice, scaffolding, and cognitive load management. To support these strategies, the DPT programs utilizes various software platforms designed for interactive engagement and analytics:
- Blackboard Ultra: Facilitates content delivery and tracks learner participation and grades.
- Harmonize: Enhances student interaction and engagement tracking.
- Osmosis: Provides spaced repetition and identifies performance gaps.
- Interactive tools: Reinforce learning through quizzes and flashcards.
- Instructional videos: Offer microlearning and case-based scenarios.
These tools create an interactive, data-driven educational environment that promotes both self-directed and instructor-guided learning.
By integrating AI with pedagogical strategies, DPT courses foster adaptive and interactive learning. AI-driven platforms support distributed practice, retrieval practice, and interleaving, leading to long-term concept retention. Real-time feedback and analytics help instructors monitor student performance, providing timely interventions for at-risk learners. This AI-enhanced approach improves student engagement and understanding, critical for future clinical practice.
Integrating pedagogical strategies with AI technologies into DPT courses significantly impacts education. By personalizing learning pathways and providing data-driven insights, AI empowers both students and educators to achieve superior outcomes in hybrid learning environments. The ability to track engagement, identify learning gaps, and implement timely interventions ensures that students remain on track, even within hybrid formats. This approach can be adapted to other courses, creating a more flexible, responsive, and student-centered educational experience.
As technology evolves in healthcare and the HPE environment, incorporating AI in physical therapy education will be pivotal in optimizing learning outcomes and preparing students for the challenges of modern healthcare practice.
Education
Pedagogy
