Doctoral School of Education, University of Szeged, Szeged, Hungary.
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
PLoS One. 2019 Jul 17;14(7):e0215116. doi: 10.1371/journal.pone.0215116. eCollection 2019.
Characterizing the developmental trajectories of cognitive functions such as learning, memory and decision making across the lifespan faces fundamental challenges. Cognitive functions typically encompass several processes that can be differentially affected by age. Methodological issues also arise when comparisons are made across age groups that differ in basic performance measures, such as in average response times (RTs). Here we focus on procedural learning-a fundamental cognitive function that underlies the acquisition of cognitive, social, and motor skills-and demonstrate how disentangling subprocesses of learning and controlling for differences in average RTs can reveal different developmental trajectories across the human lifespan. Two hundred-seventy participants aged between 7 and 85 years performed a probabilistic sequence learning task that enabled us to separately measure two processes of procedural learning, namely general skill learning and statistical learning. Using raw RT measures, in between-group comparisons, we found a U-shaped trajectory with children and older adults exhibiting greater general skill learning compared to adolescents and younger adults. However, when we controlled for differences in average RTs (either by using ratio scores or focusing on a subsample of participants with similar average speed), only children (but not older adults) demonstrated superior general skill learning consistently across analyses. Testing the relationship between average RTs and general skill learning within age groups shed light on further age-related differences, suggesting that general skill learning measures are more affected by average speed in some age groups. Consistent with previous studies of learning probabilistic regularities, statistical learning showed a gradual decline across the lifespan, and learning performance seemed to be independent of average speed, regardless of the age group. Overall, our results suggest that children are superior learners in various aspects of procedural learning, including both general skill and statistical learning. Our study also highlights the importance to test, and control for, the effect of average speed on other RT measures of cognitive functions, which can fundamentally affect the interpretation of group differences in developmental, aging and clinical psychology and neuroscience studies.
描述学习、记忆和决策等认知功能在整个生命周期中的发展轨迹面临着根本性的挑战。认知功能通常包含几个可以被年龄差异不同影响的过程。当在基本表现测量(如平均反应时间(RT))上存在差异的年龄组之间进行比较时,也会出现方法学问题。在这里,我们关注程序学习——一种基本的认知功能,它是认知、社会和运动技能习得的基础——并展示如何分离学习的子过程,并控制平均 RT 之间的差异,可以揭示人类整个生命周期中不同的发展轨迹。270 名年龄在 7 至 85 岁之间的参与者进行了一项概率序列学习任务,使我们能够分别测量程序学习的两个过程,即一般技能学习和统计学习。使用原始 RT 测量值,在组间比较中,我们发现了一个 U 形轨迹,儿童和老年人的一般技能学习比青少年和年轻人更强。然而,当我们控制平均 RT 差异(通过使用比率分数或关注具有相似平均速度的参与者子样本)时,只有儿童(而不是老年人)在整个分析中一致表现出更好的一般技能学习。在年龄组内测试平均 RT 与一般技能学习之间的关系揭示了进一步的与年龄相关的差异,表明在某些年龄组中,一般技能学习测量值更受平均速度的影响。与学习概率规律的先前研究一致,统计学习在整个生命周期中逐渐下降,学习表现似乎与平均速度无关,无论年龄组如何。总的来说,我们的结果表明,儿童在程序学习的各个方面都是更好的学习者,包括一般技能和统计学习。我们的研究还强调了测试和控制平均速度对认知功能其他 RT 测量的影响的重要性,这可能从根本上影响发展、衰老和临床心理学以及神经科学研究中组间差异的解释。