Using sensors and augmented reality to train apprentices using recorded expert performance: A systematic literature review

Limbu, Bibeg; Jarodzka, Halszka; Klemke, Roland; Specht, Marcus

doi:10.1016/j.edurev.2018.07.001

Cited by 48 publications

(31 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While an expert this very qualified on the topics to teach, they usually have difficulty transmitting information, due to the use of unknown terms or the omission of topics by the expert to create them unimportant. However, even taking into account the foregoing the analysis determined that the technology based on sensors AR as a promising solution to improve the training of apprentices [12].…”

Section: Current Discussion On Augmented Reality As a Means Of Leamentioning

confidence: 99%

“…However, there are difficulties with the sensors due to the cognitive effect created at the time of the capture of the object, which cannot be capture directly because there is no visual line with the object, which generates the capture manually. This causes loss of time and resistance in the industry to acquire this type of technology [12].…”

Section: A Conceptual Vacuums Present In Augmented Reality As a Meanmentioning

confidence: 99%

See 1 more Smart Citation

Application of augmented reality as a means of interdisciplinary learning

2019

View full text Add to dashboard Cite

En el presente artículo se despliega una revisión de la cuestión relacionada con la aplicación de la realidad aumentada como medio de aprendizaje interdisciplinario. La investigación se desarrolló utilizando dos métodos: exploratorio y descriptivo, con un enfoque sistémico, utilizando las siguientes categorías como origen: realidad aumentada, realidad virtual, análisis de sistemas, web, realidad mixta y enseñanza. La búsqueda se realizó en las bases de datos Science Direct, Web Science, Google Académico y Scopus. Se catalogaron ciento dos artículos científicos para desarrollar la revisión. A partir de los artículos seleccionados se abordaron los siguientes interrogantes: ¿Cuáles son los vacíos conceptuales presentes en la realidad aumentada como medio de aprendizaje?; ¿Cómo se desarrolla la realidad aumentada como medio de aprendizaje?; ¿Cuál es la discusión actual sobre la realidad aumentada como medio de aprendizaje? y ¿Cuáles son los temas relevantes de la realidad aumentada como medio de aprendizaje?. Se determinaron las implementaciones de la realidad aumentada en los temas académicos y los factores influyentes directamente en su desarrollo, para tener un impacto positivo en el rendimiento académico. Como conclusión general se encontró: la realidad aumentada mejora el interés académico y facilita el desarrollo de los procesos de enseñanza y aprendizaje

show abstract

Section: Current Discussion On Augmented Reality As a Means Of Leamentioning

confidence: 99%

Section: A Conceptual Vacuums Present In Augmented Reality As a Meanmentioning

confidence: 99%

Application of augmented reality as a means of interdisciplinary learning

2019

View full text Add to dashboard Cite

show abstract

“…Durch den Einsatz von KI können all die Fertigkeiten verbessert werden, die für einen Chirurgen unentbehrlich sind: Motorik, Wahrnehmung, kognitive Fähigkeiten und sogar das Teamwork [15]…”

Section: Ki Als Trainingsbetreuerunclassified

Machine Learning and Learning Machines: KI in der Aus- und Weiterbildung

et al. 2020

View full text Add to dashboard Cite

ZUSAMMENFASSUNGDie Künstliche Intelligenz (KI) geht Hand in Hand mit der Digitalisierung der chirurgischen Aus- und Weiterbildung und wird in der Zukunft immer mehr an Bedeutung gewinnen. Die Anforderungen an KI in der chirurgischen Aus- und Weiterbildung sind vielfältig – genauso vielfältig sind ihre Einsatzmöglichkeiten. KI wird zunehmend im chirurgischen Curriculum berücksichtigt, auch wenn sie manchmal nicht auf den ersten Blick erkennbar ist und durch ihre Algorithmen eher im Hintergrund agiert. Die modernen digitalen Lehrmethoden und Sensortechnik eröffnen neue Wege für die Einbindung der KI in die chirurgische Aus- und Weiterbildung. Die ersten Schritte sind bereits implementiert – KI unterstützt die Erstellung von digitalem Bildmaterial zu Lehrzwecken oder erfasst mithilfe von Sensortechnik die chirurgische Leistung, um diese zu analysieren. Diverse Virtual- und Augmented-Reality-Simulatoren werden nicht nur als effektive Trainingswerkzeuge genutzt, sondern stellen vielmehr wertvolle Quellen für chirurgische Daten dar. All dies birgt enormes Potenzial für neue Erkenntnisse im Bereich der Lehrforschung, was zur Entwicklung von hocheffektiven und evidenzbasierten Lehrkonzepten beiträgt.

show abstract

“…Sensors were also used to monitor physiological signals such as heart rate [1,16], galvanic skin response [14,25], brain waves [1,28]. The recent framework of Limbu et al proposes how to use sensors to capture the expert performance and re-enact it through Augmented Reality using a variety of approaches, coined as Transfer Mechanisms [21]. Despite the extensive body of literature featuring sensors, still a very small percentage of studies opted for non-tailored and more generic approaches.…”

Section: Sensors In Learningmentioning

confidence: 99%

Read Between the Lines

Mitri

Schneider

Klemke

et al. 2019

Proceedings of the 9th International Conference on Learning Analytics &Amp; Knowledge

Self Cite

View full text Add to dashboard Cite

This paper introduces the Visual Inspection Tool (VIT) which supports researchers in the annotation of multimodal data as well as the processing and exploitation for learning purposes. While most of the existing Multimodal Learning Analytics (MMLA) solutions are tailor-made for specific learning tasks and sensors, the VIT addresses the data annotation for different types of learning tasks that can be captured with a customisable set of sensors in a flexible way. The VIT supports MMLA researchers in 1) triangulating multimodal data with video recordings; 2) segmenting the multimodal data into time-intervals and adding annotations to the time-intervals; 3) downloading the annotated dataset and using it for multimodal data analysis. The VIT is a crucial component that was so far missing in the available tools for MMLA research. By filling this gap we also identified an integrated workflow that characterises current MMLA research. We call this workflow the Multimodal Learning Analytics Pipeline, a toolkit for orchestration, the use and application of various MMLA tools.

show abstract

Using sensors and augmented reality to train apprentices using recorded expert performance: A systematic literature review

Cited by 48 publications

References 52 publications

Application of augmented reality as a means of interdisciplinary learning

Application of augmented reality as a means of interdisciplinary learning

Machine Learning and Learning Machines: KI in der Aus- und Weiterbildung

Read Between the Lines

Contact Info

Product

Resources

About