The Role of Trait Emotional Intelligence in Academic Performance: Theoretical Overview and Empirical Update

Considerable debate still exists among scholars over the role of trait emotional intelligence (TEI) in academic performance. The dominant theoretical position is that TEI should be orthogonal or only weakly related to achievement; yet, there are strong theoretical reasons to believe that TEI plays a key role in performance. The purpose of the current article is to provide (a) an overview of the possible theoretical mechanisms linking TEI with achievement and (b) an update on empirical research examining this relationship. To elucidate these theoretical mechanisms, the overview draws on multiple theories of emotion and regulation, including TEI theory, social-functional accounts of emotion, and expectancy-value and psychobiological model of emotion and regulation. Although these theoretical accounts variously emphasize different variables as focal constructs, when taken together, they provide a comprehensive picture of the possible mechanisms linking TEI with achievement. In this regard, the article redresses the problem of vaguely specified theoretical links currently hampering progress in the field. The article closes with a consideration of directions for future research.     

Artificial consciousness and the consciousness-attention dissociation

Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. This becomes clear when considering emotions and examining the dissociation between consciousness and attention in humans. While we may be able to program ethical behavior based on rules and machine learning, we will never be able to reproduce emotions or empathy by programming such control systems—these will be merely simulations. Arguments in favor of this claim include considerations about evolution, the neuropsychological aspects of emotions, and the dissociation between attention and consciousness found in humans. Ultimately, we are far from achieving artificial consciousness.     

PHONOLOGY IN THE LEXICAL PROCESSING OF CHINESE: PRIMING TONE NEIGHBOURS

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说普通话儿童的语音习得

以说普通话的１２９名一岁半至四岁半儿童的口语资料为基础,首次确定了正常发展的普通话儿童在语音习得过程中各年龄段的音位集合、音位习得的先后顺序、及习得过程中典型的语音简化类型。研究结果可以应用到普通话儿童语音发展水平标准化测试,及对患有语音障碍的儿童的诊断。此外,研究结果还表明在普通话儿童的语音习得中同时体现了各语言共有的“普遍趋势”和普通话独有的语音特征,从而为跨语言语音习得的研究提供了新的证据,进一步发展了儿童语音习得的理论。     

听障大学生汉语阅读中的绕口令效应：口语经验和阅读能力的影响

听障者阅读时是否激活语音信息是听障者阅读研究领域的热点问题之一。本研究使用眼动技术,采用绕口令材料,考察口语经验和阅读能力对听障大学生汉语阅读中语音激活的影响。结果发现,口语经验较多且阅读能力较高(OHRH)的听障大学生的绕口令效应大于口语经验较少但阅读能力较高(OLRH)的听障大学生,OLRH组的绕口令效应大于口语经验较少且阅读能力较低(OLRL)的听障大学生。局部指标分析发现OHRH和OLRH组在早期和晚期指标上均存在绕口令效应,OLRL组只在晚期指标上才出现绕口令效应。结果表明,口语经验和阅读能力影响听障大学生汉语阅读中的语音激活。     

中学师生内隐智力观的发展研究

采用半结构式访谈调查与问卷调查相结合的方法,对中学师生的内隐智力观进行了研究。结果发现：在对聪明男女中学生重要特征的评定中,中学教师对于智力的理解多集中于与认知有关的因素,并且评价所涉及到的方面随被评价对象年龄增长而调整;中学生对于智力的理解多集中于与人际交往有关的因素,并且随着年龄增长表现出更加看重内在特征的趋势;中学教师与中学生的内隐智力观存在一致性,主要表现为他们对聪明特征的评定因被评价对象的年龄和性别不同而变化,也存在一定的差异,具体为教师和学生强调的方面有所不同。     

An account of the relationship between fluid intelligence and complex learning in considering storage capacity and executive attention

Although fluid intelligence and complex learning are conceptualized differently and assessed by apparently different measures, both theoretical accounts and empirical evidence suggest a relationship between the two constructs. In this study, major working memory aspects including the storage capacity and executive attention were proposed to account for the relationship between fluid intelligence and complex learning. A sample of 184 participants completed fluid intelligence and complex learning scales, as well as working memory measures that each included two or three treatment levels differing in the demands on capacity or executive control. The differences among the treatment levels provided a favorable precondition for employing fixed-links models to separate the core processes of storage capacity or executive attention from the auxiliary processes. Results indicated that both storage capacity and executive attention contributed significantly to fluid intelligence and complex learning. A further analysis showed that the two working memory aspects, particularly the storage capacity, accounted for most of the shared variance between fluid intelligence and complex learning.     

任务与字频对汉字阅读中情绪价效应的影响

两个实验均以汉字为材料,采用2×3被试内设计,分别使用语义范畴判断和语音判断任务考察了汉字频率对阅读中情绪价效应的影响。结果发现：在语义任务中,情绪价与字频之间交互作用不显著,低频消极字和积极字的反应时均快于中性字,高频消极字的反应时也快于中性字,但高频积极字与中性字之间无差异。在语音任务中,情绪价与字频之间交互作用显著,低频消极字和积极字的反应时均快于中性字,而高频字的语音通达则不受情绪价的影响。汉字阅读中的情绪价效应不是自动化的过程,会受到字频与任务形式的影响。     

基于开放医疗大数据的人工智能研究

医疗人工智能（artificial intelligence, AI）的发展离不开大数据的汇聚与标注,同时也引发了医疗大数据及其标注标准如何统一的问题。从AI发展对医疗大数据需求出发,指出建立医疗大数据统一标准的重要性与必要性,分析当前医疗AI技术的开发过程缺乏数据统一标准和临床共识,提出“以开放换取共识”的医疗大数据平台方案——素问系统,实现“算法工程师开发技术—临床医生编辑知识—伦理专家监控伦理”的一体化AI生产流程。最后,以素问系统中第一个开源项目——医学知识图谱,作为大数据抽取标准知识的案例,解析了如何以开放换取共识,让AI技术专家与临床专家共同打造可落地的医疗AI技术。