Audial engagement: Effects of game sound on learner engagement in digital game-based learning environments

Byun, JaeHwan; Loh, Christian Sebastian

doi:10.1016/j.chb.2014.12.052

Cited by 63 publications

(32 citation statements)

References 36 publications

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“…In comparison, many serious games studies in the literature employ only single session gameplay lasting 5-30 min as their research conditions (Byun & Loh, 2015 ;Grimshaw, Lindley, & Nacke, 2008 ;IJsselsteijn, de Kort, Poels, Jurgelionis, & Bellotti, 2007 ). This is a far cry from the real-world experience and can severely limit the ability to generalize fi ndings from these studies.…”

Section: Pretest-posttest Validitymentioning

confidence: 98%

Serious Games Analytics: Theoretical Framework

Loh

Sheng

Ifenthaler

2015

Serious Games Analytics

122

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"Serious Games" is a unique industry that is concerned with the training/ learning performance assessment of its clients. It is one of three digital technology industries (along with digital games, and online learning) that are rapidly advancing into the arena of analytics. The analytics from these industries all came from the tracing of user-generated data as they interacted with the systems, but differed from one another in the primary purposes for such analytics. For example, the purpose of game analytics is to support the growth of digital (entertainment) games, while that of learning analytics is to support the online learning industries. Although some game and learning analytics can indeed be used in serious games, they lack specifi c metrics and methods that outline the effectiveness of serious games-an important feature to stakeholders. Serious Games Analytics need to provide ( actionable ) insights that are of values to the stakeholders-specifi c strategies/policies to improve the serious games, and to (re)train or remediate play-learners for performance improvement. Since the performance metrics from one industry are unlikely to transfer well into another industry, those that are optimal for use in the Serious Games industry must be properly identifi ed as Serious Games Analytics -to properly measure, assess, and improve performance with serious games.

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Section: Pretest-posttest Validitymentioning

confidence: 98%

Serious Games Analytics: Theoretical Framework

Loh

Sheng

Ifenthaler

2015

Serious Games Analytics

122

View full text Add to dashboard Cite

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“…Byun & Loh, 2015;Cruz-Benito, Therón, García-Peñalvo, & Pizarro Lucas;Habibi, Laroche, & Richard, 2014;Lim, Hwang, Kim, & Biocca, 2015;Pellas, 2014;Wiebe, Lamb, Hardy, & Sharek, 2014). However, studies examining the drivers of user engagement with social media are still limited.…”

Section: Introductionmentioning

confidence: 99%

Factors driving young users' engagement with Facebook: Evidence from Brazil

Oliveira

Huertas

Lin

2016

Computers in Human Behavior

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“…We found researchers either failed to report the length of gameplay time or employed very short gameplay (less than 10 min) in their studies (Byun & Loh, 2015). For instance, Grimshaw, Lindley, and Nacke (2008), as well as IJsselsteijn, de Kort, Poels, Jurgelionis, and Bellotti (2007) both reported gameplay sessions lasting <10 min as the research condition.…”

Section: Validity Of Gameplay Time In Serious Games Researchmentioning

confidence: 92%

Measuring Expert Performance for Serious Games Analytics: From Data to Insights

Loh

Sheng

2015

Serious Games Analytics

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Advances in technology have made it possible to trace players' actions and behaviors (as user-generated data) within online serious gaming environments for performance measurement and improvement purposes. Instead of a Black box approach (such as pretest/posttest), we can approach serious games as a White box, assessing performance of play-learners by manipulating the performance variables directly. In this chapter, we describe the processes to obtain user-generated gameplay data in situ using serious games for training-i.e., data tracing, cleaning, mining, and visualization. We also examine ways to differentiate expert-novice performances in serious games, including behavior profiling. We introduce a new Expertise Performance Index, based on string similarities that take into account the "course of actions" chosen by experts and compare that to those of the novices. The Expertise Performance Index can be useful as a metric for serious games analytics because it can rank play-learners according to their competency levels in the serious games.

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Audial engagement: Effects of game sound on learner engagement in digital game-based learning environments

Cited by 63 publications

References 36 publications

Serious Games Analytics: Theoretical Framework

Serious Games Analytics: Theoretical Framework

Factors driving young users' engagement with Facebook: Evidence from Brazil

Measuring Expert Performance for Serious Games Analytics: From Data to Insights

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