Games¶

Strategy · All strategies
Evidence · 4 claims (3 for, 1 mixed) · 8 studies (5 review, 2 theoretical, 1 quant-synthesis), q1–q4 · 1 of 8 report an effect size · 1 claim rests on one study

Description¶

Games place learners inside rule-governed scenarios where they learn by doing: individuals or teams collaborate or compete under conditions that mirror real-world constraints. Motivation tools such as points, badges, and certificates are layered on to sustain engagement, and a facilitator debriefs play so that game outcomes convert into explicit lessons about on-the-job situations.

Design Implications¶

Games are powerful because they embed Practice and Application inside a goal-driven, feedback-rich loop — learners act, see consequences, and adjust within minutes rather than days Serious games produce moderate learning gains over conventional instruction. [+M]. The learning, however, lives in the debrief: without structured reflection connecting game events to workplace situations, play remains entertainment Serious games without instructional support yield weaker learning than games with debriefing or scaffolding. [~M].

Context¶

Requirements¶

• A game or simulation whose mechanics genuinely model the target task, not just its surface theme
• A facilitator to run the game, manage teams, and lead the post-game debrief
• Well-defined learning outcomes stated before play, so game success criteria align with them
• Motivation tools (points, badges, leaderboards, certificates) calibrated to reward the learning behaviors, not just winning

Constraints¶

• Games perceived as frivolous lose credibility with adult learners; framing and debrief quality determine whether they are taken seriously [-M]
• Poorly aligned mechanics teach the wrong lesson — learners optimize for the score, not the underlying skill [~M]
• Extrinsic rewards can crowd out intrinsic interest when the game itself is already engaging Autonomy-supportive designs sustain motivation better than controlling reward structures. [~M]
• Competitive formats can disadvantage or demotivate lower-performing players; collaborative or team-vs-scenario formats mitigate this [~M]
• Complex games can impose extraneous load on novices still learning the rules of play rather than the content [~M]

Implementation Variability¶

• Digital serious games (simulations, branching scenarios) allow repeated, low-stakes practice of hazardous or rare situations
• Tabletop and role-play games work well for interpersonal skills (negotiation, incident response) where human judgment is the target
• Gamification of existing activities (points, badges layered onto training) is cheaper but weaker — the game loop itself, not the reward layer, drives learning Gamification shows small cognitive and motivational effects, strongest when combined with collaboration. [+W]
• Team competition formats harness peer accountability and mirror cross-functional workplace dynamics

Target Learners¶

• Employees at all levels in corporate settings; especially effective for situational judgment and process skills that resist lecture-based teaching
• Learners motivated by visible progress and immediate feedback Task value increases motivation and engagement. [+M]
• Teams learning to coordinate under pressure, where shared game experience becomes a reference point for later discussion
• Less suited to learners who need to acquire large bodies of declarative knowledge quickly; games are slow vehicles for content coverage [-M]

Target Learning Goals¶

• Procedural and situational skills: handling customer escalations, safety incidents, negotiations
• Whole-task integration: exercising multiple skills simultaneously under realistic constraints Whole-task performance improves transfer. [+M]
• Teamwork and communication under time pressure
• Attitude and confidence change: safe failure builds willingness to attempt difficult tasks Self-efficacy predicts academic persistence. [+M]

Instructions¶

1. Define the target performance and the situations in which it matters; map game mechanics onto those situations so that winning requires performing well.
2. Brief learners on rules and outcomes, connecting the scenario to their real work environment.
3. Run the game in rounds, embedding Practice and Application with immediate consequences and Coaching between rounds.
4. Debrief systematically: what happened, why, what it maps to on the job — this is where the durable learning is consolidated.
5. Award recognition (points, badges, certificates) tied to demonstrated learning behaviors, and follow with on-the-job Application assignments.

Related Strategies¶

• Simulation-based training — the non-competitive sibling: same experiential loop without scoring
• Role-play — interpersonal variant where learners inhabit workplace roles directly
• Case-based learning — analytic alternative when live decision-making is impractical
• Use experiential intercultural training methods such as simulations, role-playing and critical incidents to encounter perceptual and value differences
• Add a game mode with input fields and customized feedback to a physics simulation for concept testing

Examples¶

• Duolingo — gamified language learning using streaks, points, and levels to sustain daily practice.
• CapsimInbox — inbox-style business simulations used in corporate training to assess and develop management skills under time pressure.
• Second Life-based corporate simulations — multi-user virtual environments used by companies for collaborative scenario training.
• Tabletop incident-response exercises (e.g., cybersecurity "capture the flag" events) — teams compete to detect and respond to simulated breaches, followed by facilitated debrief.

Key Sources¶

• Wouters, P., van Nimwegen, C., van Oostendorp, H., & van der Spek, E. D. (2013). A meta-analysis of the cognitive and motivational effects of serious games. Journal of Educational Psychology, 105(2), 249–265. doi:10.1037/a0031311
• Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital games, design, and learning: A systematic review and meta-analysis. Review of Educational Research, 86(1), 79–122. doi:10.3102/0034654315582065
• Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. Educational Psychology Review, 32, 77–112. doi:10.1007/s10648-019-09498-w
• Gee, J. P. (2003). What video games have to teach us about learning and literacy. Computers in Entertainment, 1(1), 20. doi:10.1145/950566.950595
• Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), 627–668. doi:10.1037/0033-2909.125.6.627