Auditory category learning is robust across training regimes

Auditory category learning is robust across training regimes
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听觉类别学习在整个培训体系中都很强大

DOI:
10.1016/j.cognition.2023.105467
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发表时间:
2023
期刊:
影响因子:
3.4
通讯作者:
Holt, Lori L.
Holt, Lori L.
中科院分区:
心理学2区
文献类型:
--
作者:
Obasih, Chisom O.;Luthra, Sahil;Dick, Frederic;Holt, Lori L.

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多种研究已经开发出培养类别学习的训练方法,对教育具有重要的转化意义。增加范例可变性,通过类别相关维度阻断或交错,以及提供关于诊断维度的明确说明,每一个都被证明有助于类别学习和/或泛化。然而,实验室研究往往必须提炼出定义现实世界类别的自然输入规律的特征。因此,我们对类别学习的大部分了解都来自于简化假设的研究。我们通过创建一个听觉类别学习范式来挑战这些研究反映现实世界输入的类别学习过程的隐含期望,该范式故意违反了类别学习任务的一些常见简化假设。在五个实验和近300名成人参与者中,我们使用了以前显示的训练制度来促进类别学习,但这里是从一个更复杂和多维的类别空间中提取的,有成千上万个独特的例子。在改变样本可变性、改变类别样本阻塞或提供类别诊断维度明确指示的训练机制中,学习同样稳健。在经过40分钟的训练后,每一种方法的学习泛化的准确度基本相同。这些发现表明,通过复杂输入的听觉类别学习并不像以前认为的那样容易受到训练制度操纵的影响。
Multiple lines of research have developed training approaches that foster category learning, with important translational implications for education. Increasing exemplar variability, blocking or interleaving by category-relevant dimension, and providing explicit instructions about diagnostic dimensions each have been shown to facilitate category learning and/or generalization. However, laboratory research often must distill the character of natural input regularities that define real-world categories. As a result, much of what we know about category learning has come from studies with simplifying assumptions. We challenge the implicit expectation that these studies reflect the process of category learning of real-world input by creating an auditory category learning paradigm that intentionally violates some common simplifying assumptions of category learning tasks. Across five experiments and nearly 300 adult participants, we used training regimes previously shown to facilitate category learning, but here drew from a more complex and multidimensional category space with tens of thousands of unique exemplars. Learning was equivalently robust across training regimes that changed exemplar variability, altered the blocking of category exemplars, or provided explicit instructions of the category-diagnostic dimension. Each drove essentially equivalent accuracy measures of learning generalization following 40 min of training. These findings suggest that auditory category learning across complex input is not as susceptible to training regime manipulation as previously thought.
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