Correlation between performance and quantity/variability of leg exploration in a contingency learning task during infancy

Quantity and quality of motor exploration are proposed to be fundamental for infant motor development. However, it is still not clear what types of motor exploration contribute to learning. To determine whether changes in quantity of leg movement and/or variability of leg acceleration are related to performance in a contingency learning task, twenty 6–8-month-old infants with typical development participated in a contingency learning task. During this task, a robot provided reinforcement when the infant’s right leg peak acceleration was above an individualized threshold. The correlation coefficient between the infant’s performance and the change in quantity of right leg movement, linear variability, and nonlinear variability of right leg movement acceleration from baseline were calculated. Simple linear regression and multiple linear regression were calculated to explain the contribution of each variable to the performance individually and collectively. We found significant correlation between the performance and the change in quantity of right leg movement (r = 0.86, p < 0.001), linear variability (r = 0.71, p < 0.001), and nonlinear variability (r = 0.62, p = 0.004) of right leg movement acceleration, respectively. However, multiple linear regression showed that only quantity and linear variability of leg movements were significant predicting factors for the performance ratio (p < 0.001, adjusted R² = 0.94). These results indicated that the quantity of exploration and variable exploratory strategies could be critical for the motor learning process during infancy.     

Coding infant engagement in the Face-to-Face Still-Face paradigm using deep neural networks

BackgroundThe Face-to-Face Still-Face (FFSF) task is a validated and commonly used observational measure of mother-infant socio-emotional interactions. With the ascendence of deep learning-based facial emotion recognition, it is possible that common complex tasks, such as the coding of FFSF videos, could be coded with a high degree of accuracy by deep neural networks (DNNs). The primary objective of this study was to test the accuracy of four DNN image classification models against the coding of infant engagement conducted by two trained independent manual raters.Methods68 mother-infant dyads completed the FFSF task at three timepoints. Two trained independent raters undertook second-by-second manual coding of infant engagement into one of four classes: 1) positive affect, 2) neutral affect, 3) object/environment engagement, and 4) negative affect.ResultsTraining four different DNN models on 40,000 images, we achieved a maximum accuracy of 99.5% on image classification of infant frames taken from recordings of the FFSF task with a maximum inter-rater reliability (Cohen's κ-value) of 0.993.LimitationsThis study inherits all sampling and experimental limitations of the original study from which the data was taken, namely a relatively small and primarily White sample.ConclusionsBased on the extremely high classification accuracy, these findings suggest that DNNs could be used to code infant engagement in FFSF recordings. DNN image classification models may also have the potential to improve the efficiency of coding all observational tasks with applications across multiple fields of human behavior research.     

规则变型推理对远迁移问题解决的促进

为了避免多重变异样例学习和采用题海战术,并能促进规则样例学习的远迁移问题解决,开创出原样例学习后对原型规则做出变型推理的学习方法,以算术应用题的解题样例为原样例学习材料进行了4项实验研究。结果显示：四年级小学生运用该方法可有效促进远迁移问题的解决;其变型推理能力存在数学成绩等级差异;提供问题情境和推理提示能提高部分学生规则变型推理成绩和远迁移测验成绩。实验结果证明,规则变型推理是促进远迁移问题解决的有效方法之一。     

Modality-general benefit of eye-closure on the retrieval of intentionally learned information

The beneficial effect of eye-closure during retrieval was demonstrated in many studies addressing eyewitness memory or memory of episodic events. Fewer studies examined the effect concerning the intentional learning of verbal information. Furthermore, the question of whether the eye-closure effect is modality-specific, boosting visual memory only, or modality-general, boosting also other forms of memory (e.g., auditory memory), is still open. These issues were addressed in the present study. Participants (N = 129) were asked to study aurally and visually presented lists of unrelated nouns (within-subjects). During free recall, participants either kept their eyes open or closed their eyes (between-subjects). Eye-closure resulted in better free recall than keeping the eyes open. Importantly, this effect emerged for both visually and aurally presented word lists, suggesting that the effect of closing the eyes is rather modality-general. The results are discussed with respect to limitations of previous studies and practical implications.     

Not all is forgotten: Children's associative matrices for features of a word learning episode

Word learning studies traditionally examine the narrow link between words and objects, indifferent to the rich contextual information surrounding objects. This research examined whether children attend to this contextual information and construct an associative matrix of the words, objects, people, and environmental context during word learning. In Experiment 1, preschool-aged children (age: 3;2–5;11 years) were presented with novel words and objects in an animated storybook. Results revealed that children constructed associations beyond words and objects. Specifically, children attended to and had the strongest associations for features of the environmental context but failed to learn word-object associations. Experiment 2 demonstrated that children (age: 3;0–5;8 years) leveraged strong associations for the person and environmental context to support word-object mapping. This work demonstrates that children are especially sensitive to the word learning context and use associative matrices to support word mapping. Indeed, this research suggests associative matrices of the environment may be foundational for children's vocabulary development.     

Early childhood educator outcomes from online professional development for physical literacy: A randomised controlled trial

IntroductionEarly childhood is recognised as a critical window of opportunity for physical literacy development, however early childhood educators typically lack the training required to effectively provide appropriate physical literacy opportunities for children. We examined the effects of an online physical literacy professional development program—relative to continuing with ‘standard’ practice—on early childhood educators’ physical literacy knowledge and application.MethodsWe conducted a parallel two-arm randomised controlled trial, in which 88 early childhood educators were randomly assigned to an online professional development program designed to support educators’ physical literacy instructional skills (intervention arm; n = 37), or a ‘standard practice’ control condition (n = 51). Data were collected prior to and after the four-week intervention period. We measured educators’ physical literacy knowledge and application (our primary outcome) through independent coding of open-ended survey responses, and educators’ self-reported perceptions of values, confidence, behaviours, and barriers (secondary outcomes). Between-group differences were assessed through analysis of covariance.ResultsOne intervention arm participant withdrew from the study, resulting in 87 participants included in analysis. Educators in the intervention arm scored significantly higher on post-intervention physical literacy knowledge (d = 0.62) and application (d = 0.33) than those in the control arm. Educators in the intervention arm also scored significantly higher than controls on confidence in teaching physical activity (d = 0.42) and significantly lower than controls on perceived personal barriers to physical activity (d = 0.53). Thirteen participants in the intervention arm (36%) did not begin the online professional development program.ConclusionImprovements in physical literacy instructional outcomes indicate the potential for further investigation into broader implementation of online professional development programs of this nature in the future.     

The role of the natural history museum in promoting word learning for young children

Although strong claims have been made about museums being ideal word learning environments, these are yet to be empirically supported. In the current study, 152 four- to five-year-olds children (81-M, 71-F) from minority backgrounds were taught six vocabulary items either in a museum, in their classroom with museum resources, or in their classroom with classroom resources. At test, children taught in their classroom with museum resources produced significantly more correct responses than children taught in the museum or in their classroom with classroom resources. Children were also significantly better at retaining the target vocabulary items than recalling them. These data demonstrate how context can impact word learning and point to the benefits of a collaborative relationship between schools and museums to support children's language development.     

探究事件相关脑电/脑磁信号中的神经表征模式：基于分类解码和表征相似性分析的方法

探究不同心智活动下的神经表征差异, 是认知神经科学关注的核心问题之一。早期的脑电/脑磁分析方法主要关注组平均后的神经响应水平, 这要求在关注的时间进程上, 各个被试在相同刺激条件下事件相关电位/事件相关磁场的振幅大小和方向、以及地形图分布和极性均要有较高的一致性。近些年来, 研究者们将功能性磁共振成像研究中常用到的两种技术——机器学习中的分类算法(即基于分类的解码)和表征相似性分析——引入到了脑电/脑磁数据分析中。这两种新技术可以克服传统脑电/脑磁数据基于具体电压/磁感应强度波形平均分析的缺点, 具有在个体水平上探究神经表征编码的特点, 为人们探究大脑在不同时间进程上如何对特定的神经表征信息进行动态编码提供了新的思路。两种技术基于不同的方法学原理来抽提个体间一致的脑认知加工机制, 还为脑电/脑磁研究开展跨时域、跨任务、跨模态、跨群体比较不同认知过程中的表征差异提供了更多新颖的途径。我们首先通过与传统的脑电/脑磁分析方法进行比较, 系统性介绍了基于分类的解码和表征相似性分析的原理和操作流程, 之后对两种方法的应用场景进行了梳理, 并在最后对未来可供研究的方向提出了我们的见解。     

学习效能感、自我决定动机对学业期望的作用:基于统合模型的分析

研究整群抽样山东某高中高二学生500人,通过统合模型分析自我决定动机在学习效能感预测学业期望中的作用.结果表明,学习效能感—自我决定动机—学业期望的模型与数据拟合良好,学生的学习效能感可以通过自我决定动机,正向预测其学业期望,自我决定动机在学习效能感和学业期望中起中介作用,非自我决定动机不能预测学业期望.说明学习效能感...