大学生特质焦虑与网络成瘾的关系:一个有调节的中介模型

通过对530名大学生的问卷调查,考察特质焦虑、压力知觉、未来时间洞察力和网络成瘾之间的关系。结果发现：（1）压力知觉在特质焦虑和网络成瘾之间起部分中介作用,特质焦虑既对网络成瘾产生直接影响,也通过压力知觉产生间接影响;（2）未来时间洞察力对压力知觉的中介作用起调节作用,压力知觉对网络成瘾的影响随着个体未来时间洞察力的增加而减少。大学生特质焦虑、压力知觉、未来时间洞察力和网络成瘾共同构成一个有调节的中介模型。     

幼儿执行功能的发展对心理理论发展的影响*

采用追踪研究设计,探讨儿童3至5岁成长过程中,执行功能与心理理论发展间的预测关系。以155名3岁、4岁儿童为被试,采用经典实验任务对儿童的执行功能和心理理论进行间隔1年的追踪测查,并运用分层回归分析检验了二者间的预测关系。结果发现：儿童执行功能、心理理论在3至5岁期间均有显著的发展,且在此期间执行功能、心理理论的个体差异相对稳定;儿童在3岁、4岁时执行功能与心理理论呈显著正相关,但在5岁时二者间相关不显著;儿童3岁时的执行功能能够显著预测3至4岁期间心理理论的发展,而4岁时的执行功能不能预测4至5岁期间心理理论的发展;3至5岁期间,心理理论对执行功能发展始终不具有预测作用。     

小学儿童语音意识与汉语拼音能力的关系

探讨了小学一、三、五年级儿童汉语和英语语音意识与汉语拼音水平的关系。结果发现 ,无论是汉语还是英语语音意识都与汉语拼音水平有显著的相关 ;拼音水平高与低组儿童在汉语和英语语音意识上差异显著 ;汉语拼音成绩较高地预测了汉语语音意识的水平 ,而对英语语音意识没有预测力。     

发展的认知神经科学--神经科学与认知发展研究的融合点

本文介绍了发展的神经科学自 2 0世纪 80年代以来在早期突触形成、关键期及丰富环境对脑发育的影响等领域的一些突出成就 ,阐述了从神经科学与认知发展共同研究的主题来考察两个学科的整合的意义 ,并对发展的认知神经科学研究的未来趋势作了展望。     

交往情景下个体对说谎的理解及其道德评价

研究探讨了个体理解交往情景下说谎／说真话概念及其道德评价上的年龄差异,以及事实成份、交往动机与交往情景因素在其中的作用。结果表明：(1)3岁到4岁是说谎概念理解的转折点;(2)除3岁儿童外,大部分被试依据事实成份来理解谎前真话;(3)从小学开始,随着年龄的增长,个体对“白谎”与直率真话的道德评价中越来越多地考虑到交往动机或情景因素。     

Children's and adults' conceptualization and evaluation of lying and truth‐telling

The present study examined children's and adults' categorization and moral judgment of truthful and untruthful statements. 7‐, 9‐ and 11‐year‐old Chinese children and college students read stories in which story characters made truthful or untruthful statements and were asked to classify and evaluate the statements. The statements varied in terms of whether the speaker intended to help or harm a listener and whether the statement was made in a setting that called for informational accuracy or politeness. Results showed that the communicative intent and setting factors jointly influence children's categorization of lying and truth‐telling, which extends an earlier finding (Lee & Ross, 1997) to childhood. Also, we found that children's and adults' moral judgments of lying and truth‐telling were influenced by the communicative intent but not the setting factor. The present results were discussed in terms of Sweetser's (1987) folkloristic model of lying. Copyright © 2009 John Wiley & Sons, Ltd.     

狐仙现形记

鑫鑫面粉厂与金屋面粉厂同建在一条街上,相距也仅有五十米,同行是冤家,相互间的竞争激烈可想而知。两家门楣论气派可称得起是荣宁二府,     

学习成绩差与成绩好学生短时记忆特点的比较研究

本研究比较了小学１、３、５年级学习成绩好／差学生在图片、数字、词汇记忆上的特点。结果表明：（１）在图片记忆上,两组儿童的成绩没有差异。１、３年级优差生间的差异主要在数字与具体词汇记忆中;５年级两组学生的差异主要在数字与抽象词汇记忆中。（２）从提示／非提示及击中虚假刺激的结果看,两组儿童在记忆上的差异部分地是由于策略运用上的差异。经过提示,学习不良儿童在数字和词汇记忆上的成绩有了提高。     

《儿童认知能力诊断量表》的特点与分析

本文分析了《儿童认知能力诊断量表》的特点及其在鉴别和诊断学习不良儿童认知缺陷中的作用。该量表由三个分测验和七个项目组成。量表的常模取样于浙江省十个城市的333名1～3年级儿童。数据处理和分析的结果表明:(1)该量表能反映出小学儿童认知能力随年级增长的趋势;(2)重测信度表明量表具有一定的可靠性;(3)该量表有较好的鉴别效度,而且效度检验的结果说明了学习不良儿童在认知能力上的“多病源”特征。     

Two efficient selection methods for high-dimensional CD-CAT utilizing max-marginals factor from MAP query and ensemble learning approach

Computerized adaptive testing for cognitive diagnosis (CD-CAT) needs to be efficient and responsive in real time to meet practical applications' requirements. For high-dimensional data, the number of categories to be recognized in a test grows exponentially as the number of attributes increases, which can easily cause system reaction time to be too long such that it adversely affects the examinees and thus seriously impacts the measurement efficiency. More importantly, the long-time CPU operations and memory usage of item selection in CD-CAT due to intensive computation are impractical and cannot wholly meet practice needs. This paper proposed two new efficient selection strategies (HIA and CEL) for high-dimensional CD-CAT to address this issue by incorporating the max-marginals from the maximum a posteriori query and integrating the ensemble learning approach into the previous efficient selection methods, respectively. The performance of the proposed selection method was compared with the conventional selection method using simulated and real item pools. The results showed that the proposed methods could significantly improve the measurement efficiency with about 1/2–1/200 of the conventional methods' computation time while retaining similar measurement accuracy. With increasing number of attributes and size of the item pool, the computation time advantage of the proposed methods becomes more significant.