Li, K., Hall, M., Bermell-Garcia, P. et al. (3 more authors) (2017) Measuring the learning effectiveness of serious gaming for training of complex manufacturing tasks. Simulation and Gaming, 48 (6). pp. 770-790. ISSN 1046-8781
Abstract
© 2017, © The Author(s) 2017. Background. Training new workers on complex manufacturing tasks has long been a challenge for high value manufacturing companies. Equipment downtime, costly instructors, and dangerous working environments are some of the impediments of hands-on training. To overcome these hurdles, a traditional manufacturing paper manual was transformed into a serious game through capturing and embedding expert knowledge. Aim. This article investigates the learning effectiveness of learning via a serious game (Training Game) compared with the tradition learning method (Paper Manual) through a user study. Method. Twenty employees took part in a randomised controlled trial. They were assigned to one of two conditions: Training Game (experimental condition), or Paper Manual (control condition). Participants spent a maximum of 30 minutes to study manufacturing instructions before completing two tests to evaluate the amount of learning achieved. Results. The results show that the Training Game was more effective for learning procedu ral knowledge than the Paper Manual. Regarding factual knowledge, no significant difference was identified between the two conditions. In terms of motivation, increased engagement levels were reported in the Training Game condition. Conclusions. This user study shows evidence that the serious TG being evaluated is an effective method for training procedural knowledge in a complex manufacturing scenario.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. This is an author produced version of a paper subsequently published in Simulation and Gaming. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | adult learning; computer game; controlled trial; factual knowledge; manufacturing tasks; procedural knowledge; professionals; training, user study |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Dec 2017 14:20 |
Last Modified: | 08 Dec 2017 14:20 |
Published Version: | https://doi.org/10.1177/1046878117739929 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/1046878117739929 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124858 |