小学生学习动机的培养:五年追踪研究

采用聚合交叉研究设计,利用"学思维"活动课程,对某小学1～3年级学生的学习动机进行了4年的干预培养,停止培养一年后,再次收集了数据,分析了变化趋势、即时效果及其长时效应。结果表明:(1)随着年龄的增大,儿童的表层动机和成就动机呈下降趋势;深层动机呈先上升后下降的趋势;(2)男生的表层动机和成就动机都高于女生;(3)年级越高,表层动机、深层动机和成就动机越低;(4)培养一年后,实验组学生的深层动机显著高于控制组,且长时效应显著。     

基于时间投入——专注度双维核心模型的高中生学业勤奋度研究

为避免单维评估存在高估或者低估学生学业勤奋表现的不足,以学业勤奋度研究的"时间(行为)投入"和"专注度"两种取向为基础,提出了高中生学业勤奋度的时间(行为)投入—专注度双维核心模型,并考察386名高中生在该模型上的分布特点,进而检验其应用效果。结果表明:(1)以学业勤奋度的双维核心模型为基础,将学生分为四组,并且这四组学生在时间投入和专注度上的差异表现为:在时间投入上,高时间投入的两个组学生的时间投入水平较高,低时间投入两个组学生的时间投入水平较低;在专注度上的分布也是如此。这说明本研究的分组是有效的。(2)模型能够有效将高中生分组,其中高时间投入—低专注度组所占比例最大(30.4%),其次为低时间投入—低专注度组(28.6%),再次是低时间投入—高专注度组(23.6%),高时间投入—高专注度组所占比例最小(17.4%)。(3)模型在不同总体学业成绩和语文、数学、英语等单科成绩上的分组效应均显著,同时拥有高学习时间(行为)投入和高专注度的高中生具有最佳的总体和单科学业成绩。因此,学业勤奋度的学习时间(行为)投入—专注度模型具有良好的应用效果。     

网络成瘾的潜在结构:连续的还是分类的?

变量的潜在结构是连续的还是分类的不应被随意指定,错误的设定可能导致不正确的结论。本研究的目的在于从实证的角度探索网络成瘾的潜在结构。研究采用了来自中国杭州的2511名初中生对Young网络成瘾量表的有效作答数据,比较了Rasch模型、潜在类别模型和混合Rasch模型与数据的拟合情况。结果表明:2个潜在类别的混合Rasch模型可以最好地反映网络成瘾的潜在结构,说明网络成瘾包含两个存在着质的差异的群体,并且每个群体内的个体间存在量的差异。研究进一步比较了基于混合Rasch模型的分类与传统划界分数分类的区别,结果表明:Young的网络成瘾标准可能具有很小的误判率和较高的漏判率;基于Young网络成瘾测验的修订需要考虑有针对性地增加部分题目。     

规则空间模型在瑞文智力测验中的认知诊断分析

规则空间模型是一种基于统计模式识别和分类的认知诊断方法,此方法可以根据被试的作答反应,分析诊断被试的认知属性掌握情况。以往智力测验只是报告测验分数,对被试能力解释较为简单,缺乏必要的认知诊断分析。本文根据瑞文标准推理测验的难度层级特点,分析其所包含属性及其连接关系,并运用规则空间模型将所有被试划分在48种典型反应模式中,而且大部分被试都会集在几个典型反应模式中。本文对这些典型反应模式进一步分析被试的认知状态,并为教育辅导与人员选拔安排提供建议。     

Contextualizing neuroticism in the Hierarchical Taxonomy of Psychopathology

Neuroticism is the personality trait most consistently and strongly connected to psychopathology. The majority of research on the relationship between traits and mental illness has focused on neuroticism’s connection with broad psychopathology spectra or discrete disorders. However, both personality and psychopathology are hierarchically-organized domains that may be examined at multiple levels of fidelity and bandwidth from very specific thoughts, feelings, and behaviors (i.e., nuance traits or symptoms) to very broad patterns indexing many interrelated tendencies (i.e., general factors). The Hierarchical Taxonomy of Psychopathology (HiTOP) is a recently proposed nosologic framework for psychopathology symptoms and domains that accounts for this tiered organization. Here, we illustrate how neuroticism-psychopathology relationships—both what is known and unknown—may be elucidated through the HiTOP system.     

外来务工女性刻板印象威胁的应对策略与认同管理

为了探讨外来务工女性群体刻板印象威胁的应对策略和认同管理,从天津市WX社区通过滚雪球抽样方法选取124名外来务工女性作为被试,采用问卷调查的形式,测查了外来务工女性群体刻板印象应对策略和认同管理模式,尤其考察了认同基线水平、认同融合、否定策略和榜样策略对于应对和认同管理的有效性。结果表明：（1）外来务工女性群体具有双重认同趋势;具有较高城市认同融合的外来务工女性群体具有显著的认同维护倾向;（2）不同印象管理水平的外来务工女性对否定策略的使用差异性很小,反而是刻板印象威胁的长期性和暴露性是引发否定策略的重要因素;（3）角色榜样成功的应得性对外来务工女性城市认同感的提高具有积极效应;（4）城市务工年数和收入成为这一群体城市认同的主要影响因素。     

托幼机构教育质量评价中评委偏差的多侧面Rasch分析

采用多侧面Rasch模型对28位评委在托幼机构教育质量评价中的评委偏差进行了分析。分析结果显示：28名评委评分宽严度差异显著;3名评委内部一致性较差,其余25名评委内部一致性较稳定;评委与评价班级的交互作用不显著,与评价项目的交互作用显著。研究结果表明MFRM可以对托幼机构教育质量评价的评委偏差进行个体层面的具体分析,从项目反应理论的视角为托幼机构教育质量评价的评委针对性培训、评估评委的合格性从而建立合格评委库等提供现代教育、心理测量学依据。     

Personality Traits and Political Ideology: A First Global Assessment

This article presents the first assessment of how the five‐factor model of personality and political ideology are associated across the world. Personality traits become more and more important in the study of political behavior. And the relationship with ideology virtually parallels the history of this line of research. Yet, many existing studies are limited to single, highly developed countries and mostly draw on nonrandom or nonrepresentative samples. Our study, in contrasts, makes use of the most recent wave of the World Value Survey and analyzes the relationship comparatively in 21 countries from all continents. Results corroborate the most prominent findings about personality and ideology. However, effects of personality traits cannot be generalized easily across the world as effects vary considerably from country to country. Therefore, we additionally analyze specific preferences concerning social and economic policies on the one side. On the other, we theorize as well as model the moderating role of the country context by introducing cross‐level interaction effects.     

Re-framing the characteristics of concepts and their relation to learning and cognition in artificial agents

In this work, the problems of knowledge acquisition and information processing are explored in relation to the definitions of concepts and conceptual processing, and their implications for artificial agents.The discussion focuses on views of cognition as a dynamic property in which the world is actively represented in grounded mental states which only have meaning in the action context. Reasoning is understood as an emerging property consequence of actions-environment couplings achieved through experience, and concepts as situated and dynamic phenomena enabling behaviours.Re-framing the characteristics of concepts is considered crucial to overcoming settled beliefs and reinterpreting new understandings in artificial systems.The first part presents a review of concepts from cognitive sciences. Support is found for views on grounded and embodied cognition, describing concepts as dynamic, flexible, context-dependent, and distributedly coded.That is argued to contrast with many technical implementations assuming concepts as categories, whilst explains limitations when grounding amodal symbols, or in unifying learning, perception and reasoning.The characteristics of concepts are linked to methods of active inference, self-organization, and deep learning to address challenges posed and to reinterpret emerging techniques.In a second part, an architecture based on deep generative models is presented to illustrate arguments elaborated. It is evaluated in a navigation task, showing that sufficient representations are created regarding situated behaviours with no semantics imposed on data. Moreover, adequate behaviours are achieved through a dynamic integration of perception and action in a single representational domain and process.