Nya siwo wòle be nànya kple nɔmba
| Ƒomevi | Nu siwo le nusiwo dometɔ | Score ƒe nu siwo wòle be nàɖo ŋku edzi |
|---|---|---|
| N-back ƒe ɖeka si le ŋku me | Ŋku me nɔnɔme alo teƒe ƒe ɖoɖo ɖeka | Ɖoɖo siwo dze, ƒeɖoɖo siwo medze o kple ŋuɖoɖo ƒe ɣeyiɣi |
| N-back ƒe ɖeka si le to me | To me ƒe ɖoɖo ɖeka | Hawo ƒe tsɔtsɔ va kple ŋuɖoɖo ƒe sewo |
| N-back ƒe eve | Ɖoɖo eve siwo le mɔ ɖeka me | Ɖoɖo ɖeka ɖeka kple wo katã ƒe score sewo |
N-back ƒe nyadzɔdzɔ le mɔ geɖe nu, menye game ɖeka si le ɖoɖo ɖeka nu o. Owen kple wo nɔviwo ɖea nɔnɔme, teƒe kple nu si dzesi la le vovototo me, eye woƒe nyatakakawo ɖoa ŋku edzi training ƒe mɔwo kple dzesi siwo wòfia le wo gbɔ. Mɔ siawo ƒe vovototo na nɔvi ŋusẽ nɔvi si le n-back ƒe xexlẽ ɖeka ko me nyo be wòatsɔ nɔnɔmeƒe ŋusẽ katã ɖe eme o. Owen et al., 2005 Soveri et al., 2017
Nu kae n-back ƒe eve tsɔna kpe ɖe eŋu?
Ɖoɖo eve kpɔkpɔ tsɔa nuɖoɖo kpe ɖe eŋu, gake nu si he vevesese vɔ̃ la nɔa mɔ si me wo ɖoɖo ɖo kple mɔ si me wotsɔ score na la nu. Menye nu si dze be nàɖe dɔ ɖeka ƒe score ɖe eve me alo nàɖe level ƒe xexlẽ ɖeka si woɖo ɖo ɖe n-back ƒe eve ƒe score ŋu la o. Nuxlẽ siwo wɔa nu le ŋugbedodo ƒe susu me ɖea dzesi geɖe kple ɖoɖo dzi kpɔkpɔ me, menye nɔnɔme ƒe kpɔɖeŋu ɖeka si wòwɔna ɖe dɔwo katã ŋu o. Baddeley, 2012 Cowan, 2001
Nu sia gɔmeɖeɖe ɖe eŋu be digit-span score ɖeka mate ŋu ɖo eŋu be n-back ƒe mɔ kae ame aɖe asu eƒe dɔme wu o. Span ƒe mɔwo bia ŋugbedodo kple susu wɔwɔ ƒe mɔ vovovowo, eye meta-analysis si ɖoa n-back kple complex span ɖe vovototo me ɖoa be wòmele be woatsɔ wo ɖe ɖeka te o. Conway et al., 2005 Redick et al., 2013
N-back ƒe eve nyo wu le saɖa me?
Biabia sia bia be nàɖo dzesi si wòle be nàkpɔ ŋu: game si woɖo ŋu le training me, ŋusẽ le ŋugbedodo ƒe game bubu me, alo dzidzɔ le susu ƒe dɔ siwo le mɔ gã me—nu siawo nye dzesi vovovowo. Training ƒe meta-analysis la ɖea dzesi siawo me vovototo. Training si me vevesese alo ɖoɖo bɔbɔe wu la menye eŋu be viɖe si wòana ame katã la asɔ wu o. Soveri et al., 2017
Nukae le edzi wɔwɔ me?
Nukae training ƒe ɖoɖo le mɔ vovovowo nu gblɔna?
Mɔ siwo sɔna kple nu siwo wo srɔ̃ la ƒe ŋusẽ te ŋu adze, zi geɖe ne dodokpɔ la le nɔnɔme si sɔ kple training la. Ŋugbedodo ƒe nyawo ƒe ɖoɖo bɔbɔa ƒe susu gblɔna be nyagblɔɖiwo tso nunya alo nu vovovowo siwo le mɔ si didi la me zɔna ɖe anyi ne wotsɔ kpɔkpɔ si sɔ te ŋu ɖo. Nusiwo va se la meɖo ŋugbe be n-back ƒe eve ana ame aɖe anye nunya wu le mɔ katã nu o. Melby-Lervåg et al., 2016 Soveri et al., 2017
Woƒe gɔmeɖeɖe menye be game la srɔ̃e la nye nu si me viɖe mele o la hã o. Ame aɖe ate ŋu anyo wu le se si wòle be wòakpɔ nudzesiwo ŋu, ŋku ɖo wo ŋu, eye wòɖo ŋu ɖe ŋu. Nyadzɔdzɔ kple saɖa ƒe gɔmeɖeɖe nyo wu la le dɔ si wofia kple mɔ si wòle be woakpɔ esia ƒe ŋusẽ ŋu kple nyawo me. Soveri et al., 2017
Ta nye nu online levelwo mele scale ɖeka me o
Nudzesi ƒe ɣeyiɣi, nudzesi siwo wòle target me ƒe akpa, adaptation thresholdwo, nudzesi siwo dzɔna be ye kplɔa ame le mɔ aɖe dzi, kple ŋuɖoɖo ƒe ɣeyiɣi te ŋu avɔ̃. N-back ƒe eve si le dɔme bɔbɔe te ŋu ana vevesese si vɔ̃ le n-back ƒe ɖeka si ɖea viɖi. Ne mɔwo kple kpɔɖeŋuwo mesɔ o la, n-back xexlẽ ɖeka ko mefia ŋusẽ sɔsɔ alo amewo ƒe nɔnɔme kple age kple ŋutilã nɔnɔme ƒe kpɔɖeŋuwo o. Owen et al., 2005 Redick et al., 2013
Wòle be woakpɔ score la ƒe ɖoɖo hã, vevietɔ ne score la nye vovototo le n-back ƒomevi eve dome. Reliability paradox ƒe nyawo ɖea fia ta si wòle be dɔ siwo le experimental me ɖoɖo sesẽ te ŋu hã na ame ɖeka ƒe vovototo nyateƒe me dze o. N-back level si nèɖo va yi zi ɖeka ko mele be wòazu wò ŋugbedodo ƒe dzesi ɖeɖe o. Hedge et al., 2017
Ne ètsɔa n-back ƒomeviwo ɖe vovototo me le mɔ si me kpɔɖeŋu me, ŋku ɖo woƒe nɔnɔmewo ŋu, eye nàkpɔ ɖoɖo siwo dze kple ƒeɖoɖo siwo medze o. Bu ŋku le sukuɖoɖo alo dzidzɔ si wòkpɔ ŋu be wòle dɔ sia ko ŋu. Nyadzɔdzɔwo meɖo nu si fia n-back level nyo wu si wòle mɔ katã nu, training ƒe akpa si wòle be woɖo ŋugbe, alo mɔ si me dual-task ƒe nɔnɔme zu IQ ƒe dzesi o. Conway et al., 2005 Melby-Lervåg et al., 2016
Da kpɔɖeŋu bɔbɔe si sɔ kple esia
N-back ƒe kpɔɖeŋu
Ɖo n-back ƒe kpɔɖeŋu, eye nàzɔ mɔ si gɔmeɖeɖe le axa la me la nu. Ne èzã dual implementation bubu la, ŋlɔe ɖe eƒe akpa me, eye mèbu n-back xexlẽwo be wole scale ɖeka me o. Helibrain ƒe dɔ la meɖo ŋugbe be training ƒe viɖe ƒe gɔmeɖeɖe kple mɔ katã nu o.
Biabia siwo gbɔna zi geɖe
N-back ƒe eve 2-back sɔ kple n-back ƒe ɖeka 4-backa?
Ao. Xexlẽ la fia nudzesi ƒe teƒe didi; ɖoɖo bubu tsɔa nuɖoɖo kpe ɖe eŋu, menye be wòtsɔ teƒe didi la ƒe xexlẽ ɖe eve me ko o. Owen et al., 2005
N-back ƒe eve ana ŋugbedodo ƒe dɔwo katã nyo a?
Nyawo ɖea dɔ la srɔ̃, mɔ si sɔ kple training ƒe ŋusẽ, kple mɔ didi ƒe ŋusẽ vovovowo me. Training ƒe score si xɔ dzi mefia be ŋusẽ bɔbɔe ava ame katã o. Soveri et al., 2017 Melby-Lervåg et al., 2016
N-back ƒomevi kae màzã atsɔ akpɔ IQ?
N-back ƒomevi ɖeka hã mefia IQ ƒe nɔnɔme si woɖo se ɖe eŋu tso n-back level ŋu o. Ŋugbedodo ƒe dɔwo vovovowo mate ŋu atsɔ nɔ teƒe ɖeka me o. Redick et al., 2013
Dzɔtsoƒewo
- Owen et al. (2005). N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies.
- Redick et al. (2013). Complex span and n-back measures of working memory: A meta-analysis.
- Cowan (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity.
- Baddeley (2012). Working Memory: Theories, Models, and Controversies.
- Conway et al. (2005). Working memory span tasks: A methodological review and user’s guide.
- Soveri et al. (2017). Working memory training revisited: A multi-level meta-analysis of n-back training studies.
- Melby-Lervåg et al. (2016). Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of “Far Transfer”.
- Hedge et al. (2017). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences.
Dɔ axa sia ƒe ŋkɔ abe tsoƒe ene: Nukae nye n-back ƒe ɖeka kple n-back ƒe eve dome ƒe vovototo?. Helibrain. 2026. https://helibrain.com/ee/answers/single-vs-dual-n-back. CC BY 4.0.
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