Learning efficacy of the 'hazard recognition' serious game: A quasi-experimental study

Igor Mayer, Arthur Wolff, Ivo Wenzler

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

13 Citations (Scopus)

Abstract

The authors present the study design and main findings of a quasi-experimental evaluation of the learning efficacy of the Serious Game (SG) 'Hazard Recognition' (HR). The SG-HR is a playable, two-level demonstration version for training supervisors who work at oil and gas drilling sites. The game has been developed with a view to developing a full-blown, game-based training environment for operational safety in the oil and gas industry. One of the many barriers to upscaling and implementing a game for training is the questioned learning efficacy of the game. The authors therefore conducted a study into the game's learning efficacy and the factors that contribute to it. The authors used a Framework for Comparative Evaluation (FCE) of SG, and combined it with the Kowalski model for Hazard Detection and the Noel Burch competence model. Four experimental game sessions were held, two involving 60 professionals working in the oil and gas industry, and two with engineering students and consultants. Relevant constructs were operationalized and data were gathered using pre and post-game questionnaires. The authors conclude that the SG-HR improves players' skills and knowledge on hazard detection and assessment, and it facilitates significant learning efficacy in this topic. The FCE proved very helpful for setting up the evaluation and selecting the constructs.

Original languageEnglish
Title of host publicationSerious Games Development and Applications - 4th International Conference, SGDA 2013, Proceedings
Pages118-129
Number of pages12
DOIs
Publication statusPublished - 2013
Event4th International Conference on Serious Games Development and Applications, SGDA 2013 - Trondheim, Norway
Duration: 25 Sept 201327 Sept 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8101 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Serious Games Development and Applications, SGDA 2013
Country/TerritoryNorway
CityTrondheim
Period25/09/1327/09/13

Keywords

  • Emergency Management
  • Hazard Recognition
  • Oil and Gas industry
  • Serious Game
  • Virtual Training

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