D1.7 WEKIT Framework & Training Methodology: The WEKIT Framework

Research output: Book/ReportDeliverable

Abstract

The document D1.7 reports on the status of the WEKIT framework as seen by key stakeholders, e.g. self-directed learners, instructional designers, trainers, trainees, managers, application domain experts, standards teams. Building on the methodology described in D1.5, it outlines the work done and progress made so far in the corresponding task of the project. The WEKIT framework guides and supports the development and implementation of the augmented reality platforms for training using experts. It supports the transition of the trainers from the traditional training platform to the WEKIT approach. It also supports the instructional designers in designing the optimal training system using augmented reality and wearable sensors.

The framework builds upon a pool of learning design methods for Augmented Reality and Wearable Technology that capture expert performance and make available the expert’s knowledge and experience to trainees. It provides a methodological approach to use these learning design methods for designing an optimal training platform and scaffolds an optimal recording and training methodology.

The framework was built and refined by performing an extensive literature review as mentioned in D1.5, expert interviews and through active participation of the WEKIT community and stakeholders. Experts that closely collaborated in the WEKIT project were from three completely different domains namely, Aeronautics engineering, Medical Imaging and Astronaut training. At the same time, the framework is meant to be domain independent and abstract, such that it can be used in different domains for training.

The framework itself has been detailed in D1.3 and D1.4. In D1.5, the experts evaluated how well each aspect of the framework was implemented and refined in the wekit.one prototype. During this study, the experts used the recorder and rated statements that corresponded to implementation of the (Transfer Mechanisms) units of the framework. The results showed satisfactory response from the experts. The focus of this document, D1.7, will be on the operationalization of the framework and results from the second WEKIT trial. During the second trial, experts evaluated the expert model (Expert recording) after using the player. The results show satisfactory reactions by the experts. The document will act as a “manual” for future trainers, system designers and researchers. Section 2 of the documents reports on the current status of the framework followed by section 3 on operationalization of the framework. Section 4 of the document reflects on data collected from the recent trials followed by conclusion and future work.
Original languageEnglish
PublisherWEKIT
Number of pages24
Publication statusPublished - 21 Mar 2019

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Augmented reality
Medical imaging
Scaffolds
Aviation
Managers

Keywords

  • WEKIT
  • expertise
  • Sensors
  • Augmented reality
  • ID4AR

Cite this

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abstract = "The document D1.7 reports on the status of the WEKIT framework as seen by key stakeholders, e.g. self-directed learners, instructional designers, trainers, trainees, managers, application domain experts, standards teams. Building on the methodology described in D1.5, it outlines the work done and progress made so far in the corresponding task of the project. The WEKIT framework guides and supports the development and implementation of the augmented reality platforms for training using experts. It supports the transition of the trainers from the traditional training platform to the WEKIT approach. It also supports the instructional designers in designing the optimal training system using augmented reality and wearable sensors.The framework builds upon a pool of learning design methods for Augmented Reality and Wearable Technology that capture expert performance and make available the expert’s knowledge and experience to trainees. It provides a methodological approach to use these learning design methods for designing an optimal training platform and scaffolds an optimal recording and training methodology.The framework was built and refined by performing an extensive literature review as mentioned in D1.5, expert interviews and through active participation of the WEKIT community and stakeholders. Experts that closely collaborated in the WEKIT project were from three completely different domains namely, Aeronautics engineering, Medical Imaging and Astronaut training. At the same time, the framework is meant to be domain independent and abstract, such that it can be used in different domains for training.The framework itself has been detailed in D1.3 and D1.4. In D1.5, the experts evaluated how well each aspect of the framework was implemented and refined in the wekit.one prototype. During this study, the experts used the recorder and rated statements that corresponded to implementation of the (Transfer Mechanisms) units of the framework. The results showed satisfactory response from the experts. The focus of this document, D1.7, will be on the operationalization of the framework and results from the second WEKIT trial. During the second trial, experts evaluated the expert model (Expert recording) after using the player. The results show satisfactory reactions by the experts. The document will act as a “manual” for future trainers, system designers and researchers. Section 2 of the documents reports on the current status of the framework followed by section 3 on operationalization of the framework. Section 4 of the document reflects on data collected from the recent trials followed by conclusion and future work.",
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D1.7 WEKIT Framework & Training Methodology : The WEKIT Framework . / Klemke, R. (Editor); Limbu, B.H.

WEKIT, 2019. 24 p.

Research output: Book/ReportDeliverable

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