Exploring Individual Differences: A Case for Measuring Children's Spontaneous Gesture Production as a Predictor of Learning From Gesture Instruction.

IF 2.9 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Eliza L Congdon, Miriam A Novack, Elizabeth M Wakefield
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Abstract

Decades of research have established that learners benefit when instruction includes hand gestures. This benefit is seen when learners watch an instructor gesture, as well as when they are taught or encouraged to gesture themselves. However, there is substantial individual variability with respect to this phenomenon-not all individuals benefit equally from gesture instruction. In the current paper, we explore the sources of this variability. First, we review the existing research on individual differences that do or do not predict learning from gesture instruction, including differences that are either context-dependent (linked to the particular task at hand) or context-independent (linked to the learner across multiple tasks). Next, we focus on one understudied measure of individual difference: the learner's own spontaneous gesture rate. We present data showing rates of "non-gesturers" across a number of studies and we provide theoretical motivation for why this is a fruitful area for future research. We end by suggesting ways in which research on individual differences will help gesture researchers to further refine existing theories and develop specific predictions about targeted gesture intervention for all kinds of learners.

探索个体差异:将测量儿童的自发手势作为预测手势教学学习效果的一个案例。
数十年的研究证实,如果教学中包含手势,学习者会受益匪浅。当学习者观看教师做手势时,以及当他们被教导或鼓励自己做手势时,都能看到这种益处。然而,这一现象存在很大的个体差异,并非所有人都能从手势教学中获益。在本文中,我们将探讨这种差异的来源。首先,我们回顾了现有的关于个体差异的研究,这些差异会或不会预测手势教学的学习效果,包括依赖于情境的差异(与手头的特定任务相关)或独立于情境的差异(与跨多个任务的学习者相关)。接下来,我们将重点关注一种未被充分研究的个体差异测量方法:学习者自身的自发手势率。我们展示了一些研究中 "非手势者 "的手势率数据,并从理论上解释了为什么这是未来研究的一个富有成效的领域。最后,我们提出了研究个体差异的方法,这将有助于手势研究人员进一步完善现有理论,并为各类学习者制定有针对性的手势干预具体预测。
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来源期刊
Topics in Cognitive Science
Topics in Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
8.50
自引率
10.00%
发文量
52
期刊介绍: Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for: -New communities of researchers- New controversies in established areas- Debates and commentaries- Reflections and integration The publication features multiple scholarly papers dedicated to a single topic. Some of these topics will appear together in one issue, but others may appear across several issues or develop into a regular feature. Controversies or debates started in one issue may be followed up by commentaries in a later issue, etc. However, the format and origin of the topics will vary greatly.
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