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

Publication date: Available online 2 August 2018Source: Educational Research ReviewAuthor(s): Bibeg Hang Limbu, Halszka Jarodzka, Roland Klemke, Marcus SpechtAbstractExperts are imperative for training apprentices, but learning from experts is difficult. Experts often struggle to explicate and/or verbalize their knowledge or simply overlook important details due to internalization of their skills, which may make it more difficult for apprentices to learn from experts. In addition, the shortage of experts to support apprentices in one-to-one settings during trainings limits the development of apprentices. In this review, we investigate how augmented reality and sensor technology can be used to capture expert performance in such a way that the captured performance can be used to train apprentices without increasing the workload on experts. To this end, we have analysed 78 studies that have implemented augmented reality and sensor technology for training purposes. We explored how sensors have been used to capture expert performance with the intention of supporting apprentice training. Furthermore, we classified the instructional methods used by the studies according to the 4C/ID framework to understand how augmented reality and sensor technology have been used to support training. The results of this review show that augmented reality and sensor technology have the potential to capture expert performance for training purposes. The results also outline a methodological approach t...
Source: Educational Research Review - Category: Child Development Source Type: research

Related Links:

Publication date: October 2019Source: Safety Science, Volume 118Author(s): Kai Yu, Qinggui Cao, Changzhen Xie, Nannan Qu, Lujie ZhouAbstractIn recent years, the safety situation in Chinese coal mine enterprises has been steadily improving, however, major accidents occur occasionally. Statistics reveal that human unsafe behaviors are the main cause of accidents. In this paper, based on the Fishbone Diagram, the influencing factors of unsafe behaviors of coal miners were identified from 5 aspects including individual factors, physical environment, safety leadership, safety management, and group factors. Next, the indicators ...
Source: Safety Science - Category: Occupational Health Source Type: research
DiscussionA reliable and valid fire service safety climate scale was developed. The scale’s dimensions of management commitment within fire department and supervisor support within stations are embedded in a larger instrument, the Fire service Organizational Culture of Safety survey (FOCUS). This simple tool allows fire departments to assess shared perceptions of safety policies and practices and the impact of such perceptions on safety and organizational outcomes.
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): Bo YangAbstractDynamic risk identification is used to predict future risk based on known risk information as early as possible. Risk identification technology based on the fuzzy support vector machine (FSVM) model can more comprehensively and automatically identify possible risks through a learning model, and this technology has become the main method for dynamic risk identification. To improve the efficiency and accuracy of recognition, the selection of parameters of the FSVM is very important. An artificial immune algorithm (AIA), an effective sto...
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): Dan Liu, Jingwei LiAbstractThe problem of accurate classification of wireless sensor network data is studied. The data attributes of wireless sensor network are highly redundant. The traditional BP neural network is easy to fall into local optimal solution, poor generalization ability and slow convergence. With the low precision and other problems, it is difficult to accurately classify the data, and a classification algorithm using neighborhood rough sets is proposed. The neighborhood rough set model applies the rough set theory to the neighborhood...
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): Limin ZhuAbstractThe Sensing network attack connection has the characteristics of behavioral variability and complexity. It is not feasible to construct an abnormal intrusion detection model by using behavior mining technology based on traditional clustering. According to the characteristics of Sensing network attack behavior, this paper proposed a Sensing network attack detection algorithm based on improved multi-cluster. Firstly, it used improved spatial clustering algorithm to reduce spatial data feature dimensions and feature computational compl...
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): P. Marijn Poortvliet, Martin Knotters, Petra Bergsma, Joël Verstoep, Jiska van WijkAbstractUncertainty analysis is not typically performed in hydrological and hydraulic modelling. This is problematic because this may lead to inefficient decision making in water management. We therefore explored the role of statistical knowledge on uncertainty in decision-making processes in long term flood risk management within the context of regional water boards in the Netherlands. Research questions were: (1) in which parts of flood risk management statisti...
Source: Safety Science - Category: Occupational Health Source Type: research
The objective of this work is to concretize urban resilience to floods by proposing a spatial decision support tool co-built with urban managers. The proposed methodology is a holistic approach integrating three indicators of resilience applied to the Avignon case study (Provence Alpes Côte d’Azur Region).
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): Åsa BoholmAbstractThe study looks at government agency officials’ experiences of what characterizes successful and failed risk communication. It is theoretically positioned within a practice based approach to risk communication and management as an organizational activity, or “risk work”. Risk work in organizations build on sense making, alignment to commonly agreed prudent practices, and learning from experience. The empirical method consists of interviews with practitioners working with risk communication at six government ...
Source: Safety Science - Category: Occupational Health Source Type: research
This article is neither a review nor a research study but rather an overview of the main challenges of safety science that we should prioritize in the future.
Source: Safety Science - Category: Occupational Health Source Type: research
Publication date: October 2019Source: Safety Science, Volume 118Author(s): Dennis Hudson, James D. RamsayAbstractLike many disciplines, modern occupational, safety, and health (OSH) in the US is the result of years of professional maturation by three main drivers: practitioners/best practices, professional associations (i.e., certifications, education standards, etc.) and a series of external events (law, policy, accidents, etc.) i.e., that continue to influence the collective development of the profession. This paper reviews each driver and its contribution to the evolution of OSH in the US. In the US, what is recognized ...
Source: Safety Science - Category: Occupational Health Source Type: research
More News: Child Development | Education | Environmental Health | Learning | Study | Training | Universities & Medical Training