篇章阅读中影响回指推理的因素

探讨回指距离、干扰词的精细描述、干扰词的典型性对回指推理的影响。包括2个实验,164名大学生被试。实验1探讨干扰词精细描述类型的影响。结果表明,干扰的精细描述并非是影响回指推理的主要因素。实验2探讨干扰词和先行词的典型性类型的相对变化的影响。结果表明高典型干扰在不同回指距离条件下都会对回指推理产生影响。从而表明高典型的干扰项干扰了回指推理发生。     

语文学困生与学优生阅读理解监控的发展研究

本研究采用错误检测法和理解自信度评价法,以错误觉察人数、错误觉察成绩、理解自信度评价成绩、阅读时间和阅读理解成绩为分析指标,探讨了不同年级语文学困生与学优生的阅读理解监控特征。结果发现:(1)语文学困生的阅读理解监控能力明显低于学优生;(2)学生对低难度错误信息的理解监控能力明显高于对高难度错误信息的理解监控;(3)随着年级的增长,学生的阅读理解监控能力也随之提高。     

情绪智力对大学生创业意向的影响:成就动机和创业自我效能感的链式中介作用

为探讨情绪智力、成就动机、创业自我效能感和大学生创业意向之间的关系。使用情绪智力量表、成就动机量表、创业自我效能感量表和创业意向量表对986名大学生进行调查。结果表明:(1)成就动机中介了情绪智力与大学生创业意向之间的关系。(2)创业自我效能感中介了成就动机与大学生创业意向间的关系。(3)创业自我效能感中介了情绪智力与大学生创业意向之间的关系。(4)成就动机和创业自我效能感在情绪智力与大学生创业意向之间起链式中介作用。     

中国医患社会心态问卷的初步编制与信效度检验

确立医患社会心态的医患社会情绪、医患社会认知、医患价值观与医患行为倾向四个维度,并在每个维度下建立分问卷,分医方卷与患方卷编制了国内首个标准化中国医患社会心态问卷。在初测问卷进行探索性因素分析的基础上,对有效患方卷和医方卷进行验证性因素分析,验证了四维度结构的合理性。中国医患社会心态问卷内部一致性系数在0.757～0.932之间,两周重测信度在0.632～0.759之间; 各因素间呈中等偏低的相关,验证性因素分析的各项参数在可接受水平; 专家评定效度良好。各分问卷可在中国大陆地区单独或组合使用。     

观察因果学习和自主探索对学前儿童因果推理的影响

本研究采取单因素完全随机实验设计,以94名学前末期儿童(66-74月龄)为被试,在控制证据顺序的条件下探究观察因果学习结果和自主探索结果对儿童因果推理的影响,结果发现:(1)在只获得观察学习结果或自主探索结果一种证据条件下,绝大多数儿童依据所获证据推断因果关系;(2)在获得观察学习结果和自主探索结果两种证据条件下,儿童能综合两类证据推断因果关系,其中自主探索结果对儿童因果推理的影响力大于观察学习结果。     

Attention induces surround suppression in visual working memory

Psychonomic Bulletin & Review - Controversy currently exists regarding whether visual working memory (VWM) maintains sensory or non-sensory representations. Here, we tested the nature of VWM...     

Altered lateralization of dorsal language tracts in 6‐week‐old infants at risk for autism

Altered structural connectivity has been identified as a possible biomarker of autism spectrum disorder (ASD) risk in the developing brain. Core features of ASD include impaired social communication and early language delay. Thus, examining white matter tracts associated with language may lend further insight into early signs of ASD risk and the mechanisms that underlie language impairments associated with the disorder. Evidence of altered structural connectivity has previously been detected in 6‐month‐old infants at high familial risk for developing ASD. However, as language processing begins in utero, differences in structural connectivity between language regions may be present in the early infant brain shortly after birth. Here we investigated key white matter pathways of the dorsal language network in 6‐week‐old infants at high (HR) and low (LR) risk for ASD to identify atypicalities in structural connectivity that may predict altered developmental trajectories prior to overt language delays and the onset of ASD symptomatology. Compared to HR infants, LR infants showed higher fractional anisotropy (FA) in the left superior longitudinal fasciculus (SLF); in contrast, in the right SLF, HR infants showed higher FA than LR infants. Additionally, HR infants showed more rightward lateralization of the SLF. Across both groups, measures of FA and lateralization of these pathways at 6 weeks of age were related to later language development at 18 months of age as well as ASD symptomatology at 36 months of age. These findings indicate that early differences in the structure of language pathways may provide an early predictor of future language development and ASD risk.     

The impact of occupational needs for education on education aspirations: a hybrid fixed effects model with lagged endogenous variables

Social Psychology of Education - The notion that students’ aspirations are changeable with age is especially important in education aspirations studies. Researchers have acknowledged that...     

A reinforcement learning approach to personalized learning recommendation systems

Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. With the latest advances in information technology and data science, personalized learning is becoming possible for anyone with a personal computer, supported by a data-driven recommendation system that automatically schedules the learning sequence. The engine of such a recommendation system is a recommendation strategy that, based on data from other learners and the performance of the current learner, recommends suitable learning materials to optimize certain learning outcomes. A powerful engine achieves a balance between making the best possible recommendations based on the current knowledge and exploring new learning trajectories that may potentially pay off. Building such an engine is a challenging task. We formulate this problem within the Markov decision framework and propose a reinforcement learning approach to solving the problem.     

Social decision making mediates the association between anger and externalising problems in Chinese adolescents

The goal of this study was to test the mediating effect of social decision making in the relations of anger and anger control to externalising and internalising problems. A sample of 174 Chinese adolescents (mean age = 15.36 years) completed self‐reports of trait anger, anger control, externalising problems, internalising problems and social decision making, which was operationalized as situational judgement reflecting an individual's ability to interact effectively with parents, teachers and peers. Findings indicated that adolescents' trait anger and anger control were positively related to both externalising and internalising problems. In addition, path analysis revealed that social decision making mediated the relationship between trait anger, anger control and externalising problems. Findings on the mediating effect will be discussed by referencing appraisal tendency theory and response evaluation and decision.