Key points are not available for this paper at this time.
Social learning, simply defined as learning from others, is valuable as a modality that provides quick, informal education. Augmented reality (AR) may provide a framework for human-machine teaming paradigms which integrate both virtual Pedagogical Agents as Learning Companions (PALs) and human learning collaborators. This article details the results of three collaborative AR experiments to explore social learning with PALs and humans. Our use case focuses on medical school students learning how to interview a patient with stroke symptoms. Despite noted challenges in quickly advancing technology, specifically the natural language processing (NLP), the research produced many instances of significant results in self-efficacy and conceptual and procedural learning. Findings are presented along with a way-ahead perspective on key focus areas to advance human-machine teaming in collaborative AR for learning.
Building similarity graph...
Analyzing shared references across papers
Loading...
Marjorie A. Zielke
Djakhangir Zakhidov
Tiffany Lo
International Journal of Human-Computer Interaction
The University of Texas Southwestern Medical Center
Arizona State University
The University of Texas at Dallas
Building similarity graph...
Analyzing shared references across papers
Loading...
Zielke et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68e7493fb6db6435876c1e6b — DOI: https://doi.org/10.1080/10447318.2024.2323280
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: