论学习迁移规律在中医教学过程中的地位与作用

学习迁移泛指一种学习对另一种学习的影响,一般指先前学习已获得的知识、技能、方法和态度对以后学习新的知识技能及研究解决问题的影响。通过学习迁移现象在中医教学过程中的不同表现,指出学习迁移规律是符合中医的教学规律的,有意识地应用学习迁移规律能够很好地促进中医教学,并就如何应用学习迁移规律改进中医教学提出了自己的看法。     

南京居民医疗服务潜在需求成因分析及其合理转化建议

通过南京市8个区、县4873户居民的基线调查,掌握居民对医疗服务的实际利用情况,通过比较医疗需求与利用之间的差距,发现存在很大的潜在医疗服务需求市场。从医疗服务供需双方分析其产生的原因,找出医疗服务需求与利用的主要影响因素,从而探讨如何将这部分潜在需求合理转化。     

两类数学学习困难小学儿童抑制控制水平的实验研究

为考察单纯型数学困难与混合型数学困难小学儿童的抑制控制水平及特点,使用Stroop色词命名测验和颜色匹配反转作业,对各30名的单纯型困难、混合型困难和对照组小学儿童的优势反应抑制能力进行测试、分析。结果发现:单纯型数学困难儿童抑制优势反应的能力显著低于对照组,但其对事物初次学习的能力与对照组相当;混合型数学困难儿童在对事物初次学习能力及对优势反应的抑制能力方面均显著低于对照组儿童,其中对事物的初次学习能力也显著低于单纯型数学困难儿童。     

汉-英和藏-汉-英双语者中、英文语码切换及代价研究

以汉—英和藏—汉—英双语者为被试,采用真假词判断范式,探讨中文和英文语码切换及代价。结果表明:(1)汉—英和藏—汉—英双语者中文语码切换代价不显著,英文语码切换代价显著;(2)汉—英和藏—汉—英双语者中、英文词加工差异显著,但语码切换趋势相同。这表明,加工方式和策略影响语言加工,不影响语码切换;语言熟练程度影响语码切换,两种语言的相对熟练程度决定切换代价的不对称性。     

Cortical Language Mapping in Epilepsy: A Critical Review

One challenge in dominant hemisphere epilepsy surgery is to remove sufficient epileptogenic tissue to achieve seizure freedom without compromising postoperative language function. Electrical stimulation mapping (ESM) of language was developed specifically to identify essential language cortex in pharmacologically intractable epilepsy patients undergoing left hemisphere resection of epileptogenic cortex. Surprisingly, the procedure remains unstandardized, and limited data support its clinical validity. Nevertheless, ESM for language mapping has likely minimized postoperative language decline in numerous patients, and has generated a wealth of data elucidating brain–language relations. This article reviews the literature on topographical patterns of language organization inferred from ESM, and the influence of patient characteristics on these patterns, including baseline ability level, age, gender, pathology, degree of language lateralization and bilingualism. Questions regarding clinical validity and limitations of ESM are discussed. Finally, recommendations for clinical practice are presented, and theoretical questions regarding ESM and the findings it has generated are considered.     

Using Adult Learning Theory Concepts to Address Barriers to Cancer Genetic Risk Assessment in the African American Community

Utilization of cancer genetic risk assessment can be profoundly influenced by an individuals’ knowledge of risk assessment, attitudes regarding illness and healthcare, and affective reactions derived from social norms. Race and ethnicity play a powerful role in the development of an individual's attitudes and should be considered when attempting to understand a person's openness to cancer genetic risk assessment (Lannin et al., 1998). Until recently, however, cancer screening and prevention programs have been primarily based on data from studies conducted with the Caucasian population, yielding data that are not fully applicable to the African American community. In the last several years, research findings regarding African American's knowledge, attitudes, and feelings about genetic counseling and testing have grown (Matthews et al., 2000; Singer et al., 2004; Thompson et al., 2003). However, to the authors’ knowledge, these data have yet to be presented in a manner that both summarizes the barriers that African Americans have reported regarding cancer genetic risk assessment, while at the same time suggesting methods individual genetic counselors can utilize during community presentations to help address these barriers. This article will first summarize previous empirical findings regarding African Americans’ knowledge, attitudes, and feelings about cancer genetic risk assessment. The article will then apply adult learning theory to those findings to provide genetic counselors with practical, theory based techniques to apply toward community based educational programs with African American groups.     

A tutorial on kernel methods for categorization

The abilities to learn and to categorize are fundamental for cognitive systems, be it animals or machines, and therefore have attracted attention from engineers and psychologists alike. Modern machine learning methods and psychological models of categorization are remarkably similar, partly because these two fields share a common history in artificial neural networks and reinforcement learning. However, machine learning is now an independent and mature field that has moved beyond psychologically or neurally inspired algorithms towards providing foundations for a theory of learning that is rooted in statistics and functional analysis. Much of this research is potentially interesting for psychological theories of learning and categorization but also hardly accessible for psychologists. Here, we provide a tutorial introduction to a popular class of machine learning tools, called kernel methods. These methods are closely related to perceptrons, radial-basis-function neural networks and exemplar theories of categorization. Recent theoretical advances in machine learning are closely tied to the idea that the similarity of patterns can be encapsulated in a positive definite kernel. Such a positive definite kernel can define a reproducing kernel Hilbert space which allows one to use powerful tools from functional analysis for the analysis of learning algorithms. We give basic explanations of some key concepts—the so-called kernel trick, the representer theorem and regularization—which may open up the possibility that insights from machine learning can feed back into psychology.     

Thinking Without Words: An Overview for Animal Ethics

In Thinking without Words I develop a philosophical framework for treating some animals and human infants as genuine thinkers. This paper outlines the aspects of this account that are most relevant to those working in animal ethics. There is a range of different levels of cognitive sophistication in different animal species, in addition to limits to the types of thought available to non-linguistic creatures, and it may be important for animal ethicists to take this into account in exploring issues of moral significance and the obligations that we might or might not have to non-human animals. I am grateful for comments on an earlier version from Robert Francescotti and Clare Palmer.     

听障人群的工作记忆机制

听障人群听觉通道受损,使用手语交流,提供了独特的切入点来探讨工作记忆的结构和功能。研究表明,听障人群具备在功能上与正常人的语音环路平行的手语复述机制。通过发声训练,听障人群也可采用语音编码,即语音环路可被通达。听障人群具有与正常人相当的语言工作记忆资源,但是这种资源在具体使用时受视觉通道处理特性的限制。越来越多的研究支持互补理论,认为手语的使用增强了听障人群非语言的视空间处理能力。     

复杂陈述性知识学习过程中学习活动对学习成绩影响研究

研究以16名学习者为被试,采用言语数据分析的方法,研究了复杂陈述性知识的学习过程,得出(1)学生的学习成绩受学习过程中深层次建构活动的影响:深层次建构活动越多,学生的学习成绩越好.浅层次建构活动对学生的学习成绩影响不大;(2)学生的学习成绩受学习过程中自我监控活动的影响:自我监控活动越多,学生产生的深层次建构活动就越多.