Measuring the Learning Effectiveness of Serious Gaming for Training of Complex Manufacturing Tasks

Katie Li, Mark Hall, Pablo Bermell-Garcia, Jeffrey Alcock, Ashutosh Tiwari and Mar González-Franco

Simulation & Gaming, 2017, vol. 48, issue 6, 770-790

Abstract: 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 procedural 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.

Keywords: adult learning; computer game; controlled trial; factual knowledge; manufacturing tasks; procedural knowledge; professionals; training; user study (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1046878117739929 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:48:y:2017:i:6:p:770-790

DOI: 10.1177/1046878117739929

Access Statistics for this article

More articles in Simulation & Gaming
Bibliographic data for series maintained by SAGE Publications ().