浅析网络环境下多元智能理论对高职英语听力教学的影响

本文作者结合自身在高职英语听力教学中的实际经验和影响听力教学的因素,就如何在网络环境下.运用多元智能理论,指导和提高听力教学提出了建议.     

智能化实验室教学管理模式

结合作者多年的实验室教学管理经验,对传统实验室教学管理模式中存在的一些问题进行了探讨,提出一种新的智能化实验室教学管理模式。该模式运用先进的计算机智能系统,便于实现实验室的开放教学,网络化,智能化,同时提高实验室的安全性保障。     

大学生幸福智力与传统智力、情绪智力的关系

采用<幸福智力量表>、<瑞文标准推理测验>、<情绪智力问卷>等对1 172名大学生进行施测,考察幸福智力与瑞文传统智力、情绪智力的关系.结果发现:(1)幸福智力与情绪智力有适度相关,但与瑞文传统智力相关基本不显著;(2)情绪智力的控制情绪因素在对幸福智力的回归方程中均作出了最大的解释率贡献,具体表现为:对感知和体验幸福...     

Childhood trauma as a mediator between emotional intelligence and recidivism in male offenders

BackgroundPrior researches have implicated a relationship of recidivism with childhood trauma (CT) and emotional intelligence (EI). However, the internal mechanism by which CT and EI influence the recidivism has not been examined.ObjectiveThis study aimed to map the road from CT and EI to recidivism in Chinese male offenders.Participants and settingThree thousand one hundred and eighty-one Chinese adult male offenders participated in this study and completed Childhood Trauma Questionnaire (CTQ) and Wong Law Emotional Intelligence Scale (WLEIS). Recidivism was quantified by the number of convictions according to official records.MethodsAfter controlling for age, education levels, family criminal history, and nature of offence, logistic regression sanalysis was performed to examine the effects of CT and EI on severity of recidivism. Structural Equation Modeling (SEM) was applied to explore the mediation model between CT, EI and recidivism.ResultsLogistic regression model shows a significant effect of CT (OR = 1.008, p < 0.01), rather than EI, on recidivism. SEM supported a full mediating effect of CT in the relationship between EI and severity of recidivism.ConclusionsOur findings suggest that EI has no direct effect on the recidivism, but exerts indirect influence on the recidivism through the mediating role of childhood trauma.     

From childhood emotional maltreatment to depressive symptoms in adulthood: The roles of self-compassion and shame

BackgroundEmotional abuse is a form of maltreatment that most strongly predicts adult depressive symptoms in community samples. Introject theories suggest that some depressive symptoms stem from survivors having learned to treat themselves the way they were treated by their perpetrators.ObjectiveMalevolent introjects may undermine self-compassion, which may subsequently maintain feelings of shame. Thus, we hypothesized that self-compassion and shame would mediate the path from retrospective reports of maltreatment to concurrent depressive symptoms in adulthood.Participants and SettingParticipants were 244 adult community members and college students living in a Southwestern American metroplex.MethodWe ran a multiple mediator path model with emotional abuse as the independent variable. We specified four covariates: physical abuse, sexual abuse, physical neglect, and emotional neglect, and held constant the variance they explained in self-compassion, shame, and depression.ResultsOur final model accounted for 53.1% of the variance in adult depressive symptoms. A significant indirect effect from emotional abuse passed through both mediators and ended in adult depressive symptoms. We also found an indirect path from emotional neglect to depression passing through both mediators.ConclusionsIt appears emotional abuse and emotional neglect can undermine the formation of self-compassion. Low self-compassion predicts greater shame and depressive symptoms. Our model suggests self-compassion may be a particularly effective intervention point for survivors of emotional maltreatment.     

Emotional and behavior problems in adopted children – The role of early adversities and adoptive parents’ regulation and behavior

BackgroundEarly adversity and negative experiences in the adoptive family can put adopted children at risk for emotional and behavior problems.ObjectiveThis study analyzes the influence of children’s preadoptive history and adoptive parents’ characteristics on the psychosocial adjustment of nationally and internationally adopted children in Germany.Participants and settingThe survey included 172 adopted children aged between 24 and 145 months and their adoptive parents.MethodsParents provided information about preadoptive history. Information about emotional and behavior problems was obtained from the parental version of the Strengths and Difficulties Questionnaire (SDQ). Parental well-being was obtained through a composite score of three standardized measures (self-efficacy questionnaire, Perceived Stress Scale PSS-4, Brief Symptom Inventory BSI); parenting behavior was assessed with the Alabama Parenting Questionnaire (DEAPQ).Results12.5% of the adopted children scored in the clinical range of the SDQ. In a multiple regression analysis, the experience of maltreatment and neglect was the most important predictor of emotional and behavior problems at time of assessment, followed by pre- and perinatal risk and parental stress regulation difficulties, R² = .423, F(4, 128) = 28.539. Increases in the number of risk factors present were associated with a greater odd of children scoring in the clinical range of the SDQ.ConclusionsMost of the nationally and internationally adopted children in this sample were well-adjusted. Prenatal and preadoptive risk as well as stress regulation capacities of the main caregiver contributed to the child’s development. An accumulation of risks increased the likelihood of adjustment problems in adopted children.     

多元智能理论对英语教学的启示

多元智能理论突破传统单一的智力概念,强调人的智力由多种智能构成,同时指出每个人都有其优势智能.英语教师要转变传统的学生观、教学观、评价观,为每一个学生的发展创造条件.     

传统智力与情绪智力的区别与联系

情绪智力是在近20多年才出现,它的出现给人们带来了一个问题,那就是情绪智力到底是什么智力,它与传统智力是否有区别。这个问题涉及到什么是传统智力以及与情绪智力有什么不同之处这两个方面,认为情绪智力是传统智力的一个补充,传统智力侧重于语言,逻辑等认知加工,而情绪智力侧重于对情绪性信息的加工,两者之间的联系在于都包含有认知的...     

新技术革命助力我国科技情报工作效能析论

[目的/意义]探讨新技术革命对我国科技情报工作效能的影响,为我国科技情报工作与时代同行共进提供借鉴与参考。[方法/过程]从新技术革命对我国科技情报工作的整体影响出发,分析大数据、人工智能、移动互联网、超级计算等新一代信息技术发展下我国科技情报工作思维、机制、模式等方面可能产生的变革。[结果/结论]大数据改变情报工作思维、人工智能增强情报判断能力、移动互联网创新情报工作模式、传输和计算速度飞跃增进情报与决策联动关系;新技术革命既是一个提升我国科技情报工作"参谋""智囊"形象和地位的良好机遇,又是一次对情报战略预见、决策引领能力的严峻挑战,更是一场情报生产革新之战。     

计算情报初探

[目的/意义]面向发展情报,未来的情报工作可能面临解决多维目标问题,以及实现每个目标的多重发展路径的选取问题,传统的情报方法在解决多情报并行问题上无法满足大规模人力需求,需要借助人工智能、脑科学、认知技术等手段,通过计算机来计算情报、辅助决策。文章从量化计算对科学研究的重要作用入手,分析计算情报的重要意义。[方法/过程]将计算情报界定为以计算机的"运算能力(大数据)"为经,"计算思维(人工智能)"为纬进行情报的量化分析和判断,针对计算情报面临的挑战与机遇进行了分析;提出实现计算情报的两个前提和一个转化基本思路,两个前提是大数据环境和人工智能技术,一个转化是将情报活动中的过程性的主观决策转化为客观概率上的不确定性,并通过"证据链模型"探索计算情报的实现途径。[结果/结论]认为当前环境下,计算情报是可能实现的。计算情报的实现不仅需要情报与信息技术、人工智能技术融合,还需要应用以数学理论为代表的基础科学理论。