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Telepresence: An Innovative Teaching Modality to Enrich Simulation and Remote Learning
David R Want1, Bethany J Cieslowski
1About the Authors David R. Want, DNP, FNP-C, RN, CHSE, is clinical assistant professor, Conway School of Nursing, Catholic University of America, Washington, DC. Bethany J. Cieslowski, DNP, CHSE, RN, is associate professor and VR and simulation coordinator, George Mason University School of Nursing, Fairfax, Virginia. For more information, contact Dr. Want at want@cua.edu .
Robot telepresence technology enhanced simulation-based learning (SBL) during the COVID-19 pandemic. This immersive approach improved student engagement and realism compared to traditional remote methods.
Area of Science:
- Medical Education
- Healthcare Simulation Technology
Background:
- The COVID-19 pandemic increased demand for remote simulation-based learning (SBL).
- Existing remote methods like screen-based and telesimulations faced challenges with student engagement and realism.
- Educators needed innovative solutions to maintain effective SBL.
Purpose of the Study:
- To enhance simulation-based learning (SBL) using robot telepresence technology.
- To evaluate the impact of telepresence on student engagement and the realism of the learning experience.
- To explore the potential of telepresence in overcoming distance barriers in SBL.
Main Methods:
- Implemented robot telepresence systems to create an immersive SBL environment.
- Collected student feedback through evaluations and comments.
- Compared telepresence SBL with previous screen-based and telesimulation methods.
Main Results:
- Student evaluations indicated a more positive and engaging experience with telepresence SBL.
- Participants reported that telepresence closely mirrored real-world clinical practice.
- Telepresence technology was found to be more immersive and interactive than prior remote methods.
Conclusions:
- Robot telepresence significantly enhances the quality and engagement of simulation-based learning.
- Telepresence effectively addresses the limitations of traditional remote learning in healthcare education.
- This technology offers a scalable solution for delivering high-fidelity SBL to remote learners.
