Play Memory Games¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 12 studies (5 quant-synthesis, 4 causal, 2 review, 1 associational), q2–q4 · 3 of 12 report an effect size

Description¶

Memory games are structured activities — matching pairs, sequence recall ("Simon"-style), concentration card games, n-back tasks — that require learners to encode, hold, and retrieve information over short intervals. They are typically used as warm-ups, free-time options, or station activities to build attention and working memory engagement. The critical design question is what the game trains: games exercise the specific skill of remembering game-like material, and claims that they broadly "strengthen the brain" are not supported (Simons et al., 2016).

Design Implications¶

Memory games reliably improve performance on the trained task and very similar tasks, but meta-analytic evidence shows little transfer to dissimilar academic outcomes like reading or mathematics Working memory training yields durable near-transfer but minimal far transfer. [~S]. They are therefore best positioned as low-stakes engagement and attention activities, or as a vehicle for teaching memory strategies (chunking, elaboration, self-testing), rather than as a substitute for content-area practice. Games that prompt learners to verbalize or apply a strategy produce more durable gains than pure repetition Self-explanation improves conceptual understanding. [+M].

Context¶

Requirements¶

• Game materials with adjustable difficulty (card sets, sequence length, delay intervals)
• Short, regular sessions; brief duration fits warm-ups and transitions
• A strategy prompt or debrief ("How did you remember those?") to convert play into transferable technique
• Connection to a real memory demand in the curriculum, so gains have somewhere to land

Constraints¶

• Far transfer to general academic achievement is not supported; expecting memory games to raise reading or math performance is contradicted by meta-analysis Melby-Lervåg & Hulme, 2013 [-S]
• Large-scale studies of commercial brain-training find benefits largely confined to the trained tasks Owen et al., 2010 [-S]
• Gains fade when practice stops; effects are maintained only with continued play Simons et al., 2016 [~M]
• Learners with low success rates on the game may experience frustration rather than engagement; difficulty must be calibrated
• Time spent on games competes with Practice on the actual content to be learned — opportunity cost is real when sessions are long

Implementation Variability¶

• Physical card-matching games (e.g., Concentration) for younger learners; digital sequence and n-back games for older ones
• Curriculum-embedded variants: matching vocabulary to definitions, matching graphs to equations — same game mechanics, but practice lands on target content
• Strategy-teaching variant: before play, explicitly teach Chunking or elaborative encoding, then have learners apply and report which strategy they used

Target Learners¶

• Young learners developing basic attention and turn-taking routines alongside memory demands [~W]
• Learners who benefit from low-stakes, game-framed repetition of content material (when the game content is curriculum-relevant)
• Not a remediation for working memory deficits; claims of general cognitive enhancement for struggling learners are unsupported Melby-Lervåg & Hulme, 2013 [-S]

Target Learning Goals¶

• Near-transfer: faster, more accurate recall of similar material
• Strategy acquisition: chunking, rehearsal, and self-testing habits that do transfer when explicitly taught Chunking reduces working memory load. [+S]
• Behavioral: sustained attention during a structured task, tolerance for challenge

Instructions¶

1. Select or build a game whose content overlaps with something learners must actually remember (vocabulary pairs, symbol–meaning pairs, step sequences).
2. Model one round aloud, naming the strategy you use ("I'll group these three into one chunk") — see Chunking.
3. Have learners play in short sessions (5–10 minutes), with difficulty adjusted so success rates stay high.
4. Debrief briefly: ask learners to name the strategy they used and where else it could apply Self-explanation improves conceptual understanding. [+M].
5. Space sessions across days rather than massing them; distributed play supports retention of both the content and the strategy Spaced repetition improves retention. [+S].

Related Strategies¶

• Spaced repetition — scheduling principle that determines whether game gains persist
• Retrieval practice games — memory games reframed as low-stakes retrieval of curriculum content

Examples¶

• Concentration / matching cards — a classic physical game; when the pairs are vocabulary–definition or country–capital, the game doubles as retrieval practice on content.
• Lumosity and similar commercial brain-training platforms — engaging and well-designed, but their advertised broad cognitive benefits are contradicted by independent reviews Simons et al., 2016; treat as entertainment with near-task practice value only.
• "Simon"-style sequence games — a warm-up for attention and sequence memory before a lesson with sequential content (e.g., algorithm steps, historical timelines).

Key Sources¶

• Melby-Lervåg, M., & Hulme, C. (2013). Is working memory training effective? A meta-analytic review. Developmental Psychology, 49(2), 270–291. doi:10.1037/a0031971
• Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016). Do "brain-training" programs work? Psychological Science in the Public Interest, 17(3), 103–186. doi:10.1177/1529100616661983
• Owen, A. M., Hampshire, A., Grahn, J. A., et al. (2010). Putting brain training to the test. Nature, 465(7299), 775–778. doi:10.1038/nature09042
• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students' learning with effective learning techniques. Psychological Science in the Public Interest, 14(1), 4–58. doi:10.1177/1529100612453266