TY - JOUR
T1 - Exploring Social Learning in Collaborative Augmented Reality With Pedagogical Agents as Learning Companions
AU - Zielke, Marjorie A.
AU - Zakhidov, Djakhangir
AU - Lo, Tiffany
AU - Craig, Scotty D.
AU - Rege, Robert
AU - Pyle, Hunter
AU - Meer, Nina Velasco
AU - Kuo, Nolan
N1 - Publisher Copyright:
© 2024 Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85188111629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188111629&partnerID=8YFLogxK
U2 - 10.1080/10447318.2024.2323280
DO - 10.1080/10447318.2024.2323280
M3 - Article
AN - SCOPUS:85188111629
SN - 1044-7318
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
ER -