预设路径模型及其在认知心理学研究中的应用

预设路径模型(Fixed-links modeling)是在结构方程模型框架下发展出的用于分析心理学实验数据的统计模型。该类模型的主要特征是根据前期理论基础和实验设计,通过预先设定模型中显变量与潜变量之间的因素载荷矩阵实现对显变量方差的拆分。因素载荷矩阵的设定主要基于实验水平与所表征的心理过程之间的关系,选取相应函数来表征不同实验水平之间的变化趋势。该模型在表征工作记忆、注意和学习的内部加工过程及揭示不同认知过程的具体联系中发挥了重要作用。     

问题解决测验中过程数据的特征抽取与能力评估

基于计算机的问题解决测验可以实时记录被试探索环境和解决问题时的详细行动痕迹, 并保存为过程数据。首先介绍了过程数据的分析流程, 然后从问题解决测验入手, 分别对过程数据的特征抽取和能力估计建模两方面的研究进行了梳理和评价。未来研究应注意：提高分析结果的可解释性; 特征提取时纳入更多信息; 实现更复杂问题情景下的能力评估; 注重方法的实用性; 以及融合与借鉴不同领域的分析方法。     

代数应用题项目生成中的认知过程与任务特征分析

认知项目设计起源于理论驱动的测量模式,要求在详尽阐述测量建构理论的基础上,鉴别测验项目类型的任务特征,建立和标定与测量建构认知变量之间的对应关系,从而通过系统变换任务特征生成项目.本文以Greeno (1994)提出的代理者-情境交互作用(agent-situation interaction)的问题解决观为基础,对代数应用题解决的认知过程和任务蕴含性(affordance)进行了系统分析.具体而言,代数应用题被视为以文本形式呈现的,嵌套在现实情境中的某种量化结构.在代数应用题解决的转译、整合、计划、执行的认知过程中需要形成三种不同的表征,即文本基、情境模型和问题模型.其形成及解决过程受到个体问题图式知识的深刻影响.对应于不同表征方式,对代数应用题语法/语义结构、量化元素及结构、问题情境特征进行了系统分析和综合.该分析表明,为了保证代数应用题项目生成的科学性,当前研究的关键在于建立任务特征与问题解决认知变量之间的经验关系,并在问题领域整体水平上检验这种关系的可推广性.     

人格测验的项目反应过程与展开模型研究述评

一些研究者提出了人格测验的项目反应理想点过程假设, 并在此基础上开发了拓广等级展开模型(GGUM)用于现有人格测验的数据分析和新量表的建构, 显示出了较优势模型更优良的一些性质。不过, 现有项目反应过程的研究结果来自于大样本的调查, 缺乏实验证据的支持, GGUM也存在不适用于分析多类别人格测验数据的局限性。未来需要对GGUM进行拓展, 剔除其主观反应类别阈限对称的限定。此外, 还要重视配对格式人格测验数据分析模型的研究和开发。     

阅读投入对阅读素养影响的跨文化比较研究——以PISA 2009为例

基于PISA2009的数据,从国际比较的视角出发,使用两水平线性模型,考察阅读投入对15岁学生阅读素养成绩的影响,并分析该影响模式在中国上海、韩国、芬兰和美国之间的异同。结果发现:(1)总体上,在四种不同文化背景下,学生的阅读投入均与阅读素养表现关系密切。(2)具体到构成阅读投入的各个变量,阅读兴趣、控制策略、理解和识记元认知策略以及总结元认知策略均对阅读素养表现有正向预测作用,这在不同文化背景中表现出基本一致的模式;阅读时间量、阅读材料的多样性、网上阅读活动的多样性、校内阅读变量、记忆以及精细化加工策略对阅读素养表现的影响在不同国家/地区表现出不同的关系模式。此外,本研究探讨了从增加个性化阅读时间、增加阅读文本的多样性以及进行有效学习策略的指导三个方面培养学生的阅读投入。     

英语单词记忆策略运用的发展性研究

如何运用记忆策略提高英语单词的记忆效果是学生学习英语的过程中面临的一个重要问题。但到目前为止,我们尚不清楚．在实际的学习情景下．学生运用哪些单词记忆策略?这些策略的运用与什么因素有关?有效的英语单词记忆策略是什么?本研究将以三个年龄段(初中、高中、大学)的两类学生(普通、重点)为研究对象着手解决这些问题。     

元认知在画图表征策略和小学生数学问题解决能力中的中介作用

该研究采用自然实验和问卷调查法,对268名小学五年级学生进行画图表征策略训练,在此基础上根据策略学习情况筛选出掌握了该策略的218名学生,以这些学生为被试,探讨元认知在画图表征策略和小学生数学问题解决能力中的作用。结果表明:(1)策略学习后,小学生的画图表征策略水平和数学问题解决成绩均显著高于策略学习前。(2)画图表征策略通过元认知这一中介变量对小学生数学问题解决能力有显著的促进作用。     

基于ARCS模型促进学生自主探究学习的策略研究——以高职艺术设计类专业为例

推动自主探究学习是职业教育改革的重要方向。如何促使学生自主探究学习已经成为高职院校普遍关注的问题。对于高职艺术设计类专业来说,教师可以基于ARCS模型中的Attention(注意)、Relevance(切身性)、Confidence(信心)和Satisfaction(满足感)四个因素来进行教学设计,以促进学生进行自主探究学习,并以此来提高高职艺术设计类学生的专业设计水平,这对高职艺术设计类专业的教学改革具有一定的借鉴意义。     

问题解决策略的元认知研究

本研究旨在了解大学生对问题解决策略的理解。通过测试57名大学生对五种问题解决策略(自由产生、类推、逐步分析、形象化重构和整合)在三种情景(人际交往、实际生活和学习过程)三个维度(经常使用、有效性、易于使用)下的评估,发现大学生使用类推策略最多,自由产生策略最少。他们普遍认为这五种策略最适宜于用在学习情景中,在人际交往中的用处不大。这种结果在性别上没有显著性差异。另外．大学生认为几乎每一种策略都需要综合、分析、判断和推理四种思维能力,其中自由产生策略需要用到更多的能力,包括创造能力。     

问题解决任务中行动序列的二分类建模：单/两参数行动序列模型

行动序列作为一种典型的过程数据,可反映被试解决问题的详细步骤。鉴于行动或状态转移可区分正误,本文基于二分类Logistic建模提出两个复杂度相对较低的行动序列模型——单/两参数行动序列模型(1P-/2P-ASM);两者差异在于是否允许自由估计问题状态的区分度。通过实证研究和模拟研究对比探究两个新模型与基于多分类Logistic建模的序列作答模型(SRM)的表现。研究结果主要发现：(1)两个ASM能够获得与SRM几乎一致的问题解决能力估计值;(2)两个ASM的计算耗时明显低于SRM的;(3) 2P-ASM比1P-ASM的综合表现更优。总之,两个模型复杂度相对低的ASM均能够实现对行动序列的有效分析,有益于行动序列数据分析的落地。     

An evaluation of human act generation performance

Act generation is important in decision making in ill-defined problems where the subject must synthesize actions that might solve the problem. Two experiments explored human abilities to generate actions which might solve ill-defined decision problems. Subjects were given unlimited time to suggest as many solutions as possible. Their suggestions were compared to a hierarchical structural model of the actions developed by the experimenters that could be taken to solve the problem. Although subjects were capable of generating several actions that might be worth taking, their suggestions were far from complete. The second experiment replicated and extended these results by introducing instructions to generate quality actions. It employed a structural model derived from cluster analysis, an improved utility estimation technique, and offered substantial monetary incentives for quality or quantity of actions generated. This study confirmed the general conclusion that subjects fail to generate important high-utility actions. The implications of this result are discussed in respect to decision analysis in which a complete structural model of the decision problem is highly desirable.     

The comparator account on thought insertion,alien voices and inner speech: some open questions

Recently, many philosophers and psychologists have claimed that the explanation that grounds both passivity phenomena in the cognitive domain and passivity phenomena that occur with respect to overt actions is, along broad lines, the same. Furthermore, they claim that the best account we have of such phenomena in both scenarios is the “comparator” account. However, there are reasons to doubt whether the comparator model can be exported from the realm of overt actions to the cognitive domain in general. There is a lingering worry concerning such explanations of thought insertion: the "What is compared to what?" problem. Here I examine two ways to tackle this problem. First: thought insertion consists of the misattribution of strings of inner speech which are not attenuated (thought insertion is thus another name for auditory verbal hallucinations). Second: thought insertion is misattributed inner speech which exhibits the same phenomenological characteristics as normal inner speech. After explaining the types of problem that each of these potential solutions faces, I conclude with a set of open questions that the comparator theorist has to tackle.     

Middle-School Students’ Reasoning About Alternative Hypotheses in a Scaffolded,Software-Based Inquiry Investigation

The examination of alternative hypotheses can initiate students into scientific practices and equip them with scientific literacy skills that will help them participate in ongoing debates involving complex socio-scientific problems. Hypothesis testing, in which the examination of alternative hypotheses is situated, has received much attention in the literature. However, the topic of alternative hypotheses has not been examined as extensively in scaffolded data-rich instructional interventions. This article contributes to that body of knowledge by reporting on middle-school students’ inquiry practices as they relate to considering alternative hypotheses of their data. Specifically, the article reports a multiple-case study examining six pairs’ reasoning as they try to solve a data-rich, scientific problem, scaffolded by the software investigation, the task setup, and the teacher. The students’ generation and testing of alternative hypotheses was examined through students’ discourse, actions, inquiry products, and interactions with their teacher and peers. Pre–post assessment analyses showed statistically significant learning gains while the analyses of the students’ inquiry discourse and actions indicated that the scaffolding contributed to students’ inquiry. However, several epistemological problems surfaced relating to students’ perception of the usefulness of examining and communicating alternative explanations. These findings indicate the importance of epistemologically targeted discourse alongside guided inquiry experiences, and underline the need for further examination of appropriate scaffolding to support students’ scientific reasoning processes.     

十文钱问题：中国一古老推理错觉问题初探

首先简要阐述了中国一古老推理问题——十文钱问题的学术价值,然后在研究1中通过调查法对其进行了研究。结果发现,该问题应该属于典型的推理错觉问题,且其错觉产生的原因可能是运用单式记账方式进行推理的结果;研究2和研究3分别通过口语报告法和实验法获得了支持这一假设的证据,但同时也发现记账方式问题可能也并不是问题的全部,其中财会事项发生的顺序所形成的循环结构可能也是问题困难原因之一,这一假设在研究4中得到了支持     

Comparison of active and purely visual performance in a multiple-string means-end task in infants

The aim of the present study was to understand what factors influence infants’ problem-solving behaviours on the multiple-string task. The main question focused on why infants usually solve the single string-pulling task at 12 months at the latest, whereas most 16-month-old infants still cannot solve the task when several strings are presented, only one of which is attached to the desired object. We investigated whether this difficulty is related to infants’ ability to inhibit their spontaneous immediate actions by comparing active and purely visual performance in this task. During the first part of the experiment, we assessed the ability of infants aged 16–20 months to solve the multiple-string task. The infants were then divided into three groups based on performance (a “failure” group, an “intermediate” group, and a “success” group). The results of this action task suggest that there were differences in infants’ performance according to their level of inhibitory control of their preferred hand. In the second part of the experiment, the three groups’ predictive looking strategies were compared when seeing an adult performing the task. We found that only infants who successfully performed the action task also visually anticipated which string the adult had to pull in the visual task. Our results suggests that inhibitory control was not the only factor influencing infants’ performance on the task. Furthermore, the data support the direct matching hypothesis (Rizzolatti and Fadiga, 2005), according to which infants need to be able to perform actions themselves before being able to anticipate similar actions performed by others.     

AGSuite: Software to conduct feature analysis of artificial grammar learning performance

To simplify the problem of studying how people learn natural language, researchers use the artificial grammar learning (AGL) task. In this task, participants study letter strings constructed according to the rules of an artificial grammar and subsequently attempt to discriminate grammatical from ungrammatical test strings. Although the data from these experiments are usually analyzed by comparing the mean discrimination performance between experimental conditions, this practice discards information about the individual items and participants that could otherwise help uncover the particular features of strings associated with grammaticality judgments. However, feature analysis is tedious to compute, often complicated, and ill-defined in the literature. Moreover, the data violate the assumption of independence underlying standard linear regression models, leading to Type I error inflation. To solve these problems, we present AGSuite, a free Shiny application for researchers studying AGL. The suite’s intuitive Web-based user interface allows researchers to generate strings from a database of published grammars, compute feature measures (e.g., Levenshtein distance) for each letter string, and conduct a feature analysis on the strings using linear mixed effects (LME) analyses. The LME analysis solves the inflation of Type I errors that afflicts more common methods of repeated measures regression analysis. Finally, the software can generate a number of graphical representations of the data to support an accurate interpretation of results. We hope the ease and availability of these tools will encourage researchers to take full advantage of item-level variance in their datasets in the study of AGL. We moreover discuss the broader applicability of the tools for researchers looking to conduct feature analysis in any field.     

Means to an end: Neotropical parrots manage to pull strings to meet their goals

Although parrots share with corvids and primates many of the traits believed to be associated with advanced cognitive processing, knowledge of parrot cognition is still limited to a few species, none of which are Neotropical. Here we examine the ability of three Neotropical parrot species (Blue-Fronted Amazons, Hyacinth and Lear’s macaws) to spontaneously solve a novel physical problem: the string-pulling test. The ability to pull up a string to obtain out-of-reach food has been often considered a cognitively complex task, as it requires the use of a sequence of actions never previously assembled, along with the ability to continuously monitor string, food and certain body movements. We presented subjects with pulling tasks where we varied the spatial relationship between the strings, the presence of a reward and the physical contact between the string and reward to determine whether (1) string-pulling is goal-oriented in these parrots, (2) whether the string is recognized as a means to obtain the reward and (3) whether subjects can visually determine the continuity between the string and the reward, selecting only those strings for which no physical gaps between string and reward were present. Our results show that some individuals of all species were able to use the string as a means to reach a specific goal, in this case, the retrieval of the food treat. Also, subjects from both macaw species were able to visually determine the presence of physical continuity between the string and reward, making their choices consistently with the recognition that no gaps should be present between the string and the reward. Our findings highlight the potential of this taxonomic group for the understanding of the underpinnings of cognition in evolutionarily distant groups such as birds and primates.     

Measuring the size of mental images

Mental images seem to have a size; the experimental problem was to map that image size onto a scale of physical measurement. To this end, two experiments were conducted to measure the size of mental images in degrees of visual angle. In Experiment 1, college students employed light pointers to indicate the horizontal extent of projected mental images of words (the letter string, not the referent). Imagined words covered about 1.0 degress of visual angle per letter. In Experiment 2, a more objective eye-movement response was used to measure the visual angle size of imagined letter strings. Visual angle of eye movement was found to increase regularly as the letter distance between the fixation point and a probed letter position increased. Each letter occupied about 2.5 degrees of visual angle for the four-letter strings in the control/default size condition. Possible relations between eye movements and images are discussed.