基于人脸记忆新任务的元认知监测准确性研究

元认知监测关注个体对自身认知活动的监控,是重要的高级认知过程。学习判断(judgments of learning)是元认知监测的一种重要形式。该研究同时采用人脸-姓氏记忆新任务与经典词对记忆任务,比较学习判断的准确性在两者中的差异。结果发现:人脸-姓氏记忆的学习判断准确性在相对准确性、绝对准确性和总体判断准确性上均显著高于词对记忆。结果表明:当任务本身的社会适应意义更强时,个体对认知水平的监测更加准确,提示元认知监测技能不仅受到个体自身学习和发展的影响,还可能与人类的长期进化过程有关。     

回忆准备就绪程度的判断准确性与记忆成绩的相关

本研究采用3×3×2三因素混合实验设计(年龄、材料、性别),以|P-A|÷A做指标,对回忆准备就绪程度的判断准确性与记忆成绩之间的相关进行了研究。发现回忆准备就绪程度的判断准确性与记忆成绩的相关为-0.6199,达到了0.01显著性水平。同时,年级越低,监测准确性与记忆成绩之间的相关越高。回忆准备就绪程度判断的准确性在三项材料上存在差异,说明不同难度的材料对记忆监测与记忆成绩之间的相关有影响。回忆准备就绪程度判断的准确性与记忆成绩的相关存在性别差异,男生的相关值比女生要高。     

FOK与情节记忆、语义记忆和内隐记忆关系的研究

实验采用R/K判断和PDP测量技术,研究了FOK判断与情节记忆、语义记忆和内隐记忆关系及其监测强度.实验结果表明FOK判断的准确性程度为R判断＞K判断,即对情节记忆监测的准确性要大于对语义记忆监测的准确性.FOK对于自动加工的预测准确性差异不显著,说明FOK监测对内隐记忆的作用是微弱的,由此推测无记忆是意识最高层面的活动.对记忆监测水平强度是由意识--无意识逐渐减弱的.FOK判断对意识性水平较高的记忆活动监测的准确性较强.     

心理负荷对元记忆监测准确性及偏差的影响

以汉字再认任务为载体, 采用两因素被试内设计, 考察任务所导致的心理负荷水平, 以及学习判断(JOL)和信心判断(JOC)两种监测方式, 对元记忆监测效果的影响。对监测效果的衡量分别使用了相对准确性, 绝对准确性, 以及判断偏差三种指标。结果发现, 个体在任务过程中的心理负荷水平会影响其对任务解决过程的监测准确性:心理负荷水平越高, 元记忆监测的准确性越低。心理负荷水平还会影响元记忆监测的判断偏差:心理负荷处于中等偏低水平时, 监测不容易出现偏差;心理负荷处于中等偏高水平时, 个体表现出过高自信;但当心理负荷达到较高水平后, 判断偏差消失;随着心理负荷水平继续增大, 个体又表现出过低自信。     

元记忆对情节记忆和语义记忆的监测

这项研究围绕元记忆对多重记忆系统的监测问题,研究了ＦＯＫ判断对Ｒ反应和Ｋ反应的监测作用。结果表明：Ｒ反应项目的ＦＯＫ判断的幅度（ＭＦＯＫ）明显高于Ｋ反应项目的幅度,且ＦＯＫ对Ｒ反应项目的预测准确性明显大于对Ｋ反应项目的预测。这一结果说明,元记忆对不同记忆系统中存贮的项目的监测强度是不一样的,它对情节记忆的监测明显好于对语义记忆的监测。     

加工深度和元记忆训练对多重记忆系统监测的影响

这项研究探讨元记忆判断对情节记忆系统、语义记忆系统和ＰＲＳ（ｐｅｒｃｅｐｔｕａｌｒｅｐｒｅｓｅｎｔａｔｉｏｎ）系统的监测问题。已有的研究表明,元记忆对情节记忆的监测好于对语义记忆的监测。这项研究在深度加工和元记忆训练的条件下,进一步比较了Ｒ反应（Ｒｒｅｓｐｏｎｓｅｓ）项目、Ｋ反应（Ｋｒｅｓｐｏｎｓｅｓ）项目以及成功补笔项目的ＦＯＫ幅度（ＭＦＯＫ,ｍａｇｎｉｔｕｄｅｏｆＦＯＫ）。结果表明,无论是在深度加工的条件下,还是在元记忆训练的条件下,Ｒ项目的ＭＦＯＫ明最高于Ｋ项目和成功补笔项目。这说明元记忆系统的监测模式具有相对的稳定性,它不受记忆痕迹的性质与元记忆判断策略的影响。     

记忆监测是有赖于状态的还是有赖于特质的

记忆监测是有赖于状态的．还是有赖于特质的?实验针对两种预见性监测任务——任务难度的预见(EOL)和学习程度的判断(JOL),选用三种实验材料,对记忆监测的准确性进行了跨任务、跨情境的一致性考察。发现在任务难度的预见与学习程度的判断的准确性之间,存在着跨任务的高度一致性;在不同的三项材料之间．存在着跨情境的高度相关。本研究结果从一个侧面支持了记忆监测的特质说。     

学习不良儿童元记忆监测特点的研究

采用2×3×3的混合设计,对小学四~六年级61名学习不良儿童在固定学习时间和对项目逐项评定的学习条件下,元记忆监测特点进行了实验研究.结果表明:从元记忆判断等级差异来看,学习不良儿童在难度判断和知晓感判断上与对照组儿童无显著差异,但在学习判断上显著低于对照组儿童;从元记忆监测的准确性看,学习不良儿童元记忆监测水平与对照组儿童的差异主要表现为在个体身上发展较晚的前瞻式记忆监测上.     

客体记忆能力与元记忆能力发展的比较

采用2×3×2混合设计,以任务难度预见(EOL)和提取自信度判断(JOC)等级和记忆成绩及两者间的相关为指标,探讨老年人和青年人客体记忆能力的发展与元记忆能力的发展之间的差异.研究结果:(1)记忆能力随龄老化.元记忆能力随龄不变.(2)提取方式影响记忆成绩和EOL准确性,不影响JOC准确性.(3)记忆监测种类对记忆监测准确性有影响.     

学习判断准确性的研究方法

学习判断是元认知判断的一种重要形式,是指被试对其后测成绩的预测.准确性是学习判断研究的重要问题.学习判断准确性分为绝对准确性和相对准确性.本文重点介绍相对准确性的传统研究方法和修正方法,即预测前回忆和监测法.在比较两种相对准确性的研究方法在数据的收集和分析上的差别,提出传统方法在数据收集过程中只能通过假设推断学习判断判断前的提取过程,修正方法在数据收集时,在学习判断前插入一个回忆阶段,可以监测学习判断判断前的提取过程.应用修正方法使研究者既可分解总的准确性,又可通过加权平均数的算法合成总的准确性.因此该方法有助于研究者更加深入、精确地研究学习判断以及其他元认知判断问题.     

On the measurement of criterion noise in signal detection theory: the case of recognition memory

Traditional approaches within the framework of signal detection theory (SDT; Green & Swets, 1966), especially in the field of recognition memory, assume that the positioning of response criteria is not a noisy process. Recent work (Benjamin, Diaz, & Wee, 2009; Mueller & Weidemann, 2008) has challenged this assumption, arguing not only for the existence of criterion noise but also for its large magnitude and substantive contribution to individuals' performance. A review of these recent approaches for the measurement of criterion noise in SDT identifies several shortcomings and confoundings. A reanalysis of Benjamin et al.'s (2009) data sets as well as the results from a new experimental method indicate that the different forms of criterion noise proposed in the recognition memory literature are of very low magnitudes, and they do not provide a significant improvement over the account already given by traditional SDT without criterion noise.     

眼动追踪在价值导向元记忆研究中的应用

价值导向元记忆关注人们在面对不同重要性信息时,通过元记忆监测和调节,有选择地优先加工高价值信息,以实现记忆效率最大化的目的。价值导向元记忆包括价值导向元记忆监测和控制,眼动追踪技术以其无干扰性、生态效度高等优势可以时时追踪这一监控过程。当前该领域研究中已采用的眼动指标集中在项目选择、学习时间分配、学习进程等方面。未来在项目选择、学习效率和策略比较等研究中可以探索眼动追踪技术的进一步应用。     

No special K! A signal detection framework for the strategic regulation of memory accuracy

Two experiments investigated criterion setting and metacognitive processes underlying the strategic regulation of accuracy on the Scholastic Aptitude Test (SAT) using Type-2 signal detection theory (SDT). In Experiment 1, report bias was manipulated by penalizing participants either 0.25 (low incentive) or 4 (high incentive) points for each error. Best guesses to unanswered items were obtained so that Type-2 signal detection indices of discrimination and bias could be calculated. The same incentive manipulation was used in Experiment 2, only the test was computerized, confidence ratings were taken so that receiver operating characteristic (ROC) curves could be generated, and feedback was manipulated. The results of both experiments demonstrated that SDT provides a viable alternative to A. Koriat and M. Goldsmith's (1996c) framework of monitoring and control and reveals information about the regulation of accuracy that their framework does not. For example, ROC analysis indicated that the threshold model implied by formula scoring is inadequate. Instead, performance on the SAT should be modeled with an equal-variance Gaussian, Type-2 signal detection model.     

Fatigue, sleep loss, and confidence in judgment

Sixty-four adults participated in a study examining the accuracy of metacognitive judgments during 28 hr of sleep deprivation (SD) and continuous cognitive work. Three tasks were studied (perceptual comparison, general knowledge, and mental addition), collectively spanning a range of cognitive abilities and levels of susceptibility to SD. Subjective and objective measures of sleepiness confirmed the expected patterns of increasing fatigue with SD. Participants displayed differing levels of metacognitive abilities across tasks, but traditional indices of the confidence-accuracy relation (i.e., calibration, resolution, over- and underconfidence), as well as the accuracy of pre- and posttask estimates of performance, remained stable over the SD period. The findings suggest that people can accurately assess their own cognitive performance when deprived of 1 night of sleep and that this ability need not be based on subjective estimates of sleepiness. The implications and limitations of the study are discussed and directions for future research are proposed.     

Individual differences in metacognition: Evidence against a general metacognitive ability

Individual differences in metacognitive accuracy are generally thought to reflect differences in metacognitive ability. If so, memory monitoring performance should be consistent across different metacognitive tasks and show high test-retest reliability. Two experiments examined these possibilities, using four common metacognitive tasks: ease of learning judgments, feeling of knowing judgments, judgments of learning, and text comprehension monitoring. Alternate-forms correlations were computed for metacognitive accuracy (with a 1-week interval between tests). Although individual differences in memory and confidence were stable across both sessions and tasks, differences in metacognitive accuracy were not. These results pose considerable practical and theoretical challenges for metacognitive researchers.     

A ROTATIONAL PROCEDURE FOR SEPARATION OF TRAIT,METHOD AND INTERACTION FACTORS IN MULTTTRAIT-MULTIMETHOD MATRICES

Cluster recovery indices are more important than ever, because of the necessity for comparing the large number of clustering procedures available today. Of the cluster recovery indices prominent in contemporary literature, the Hubert and Arabie (1985) adjustment to the Rand index (1971) has been demonstrated to have the most desirable properties (Milligan &; Cooper, 1986). However, use of the Hubert and Arabie adjustment to the Rand index is limited to cluster solutions involving non-overlapping, or disjoint, clusters. The present paper introduces a generalization of the Hubert and Arabie adjusted Rand index. This generalization, called the Omega index, can be applied to situations where both, one, or neither of the solutions being compared is non-disjoint. In the special case where both solutions are disjoint, the Omega index is equivalent to the Hubert and Arabie adjusted Rand index.     

Gamma is a Measure of the Accuracy of Predicting Performance on One Item Relative to Another Item,not of the Absolute Performance on an Individual Item Comments on Schraw (1995)

The recent paper by Schraw ( Measures of feeling-of-knowing accuracy: a new look at an old problem , Applied Cognitive Psychology, 1995, 9, 321—332) is flawed by several inaccuracies and by Schraw's failure to distinguish between two fundamentally different aspects of the accuracy of metacognitive predictions: (1) calibration (aka absolute accuracy, defined in terms of whether the predicted value assigned to a single item is followed by the occurrence of that value on the criterion test), and (2) resolution (aka relative accuracy, defined in terms of whether the predicted performance on one item relative to another item is followed by the occurrence of that ordering of the two items on the criterion test). Because of these (and other) problems, his recommendations seem misleading and counterproductive.     

Decision noise: An explanation for observed violations of signal detection theory

In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and decision processes. We hypothesize that, instead, these violations of SDT stem from decision noise: the inability to use deterministic response criteria. In order to investigate this hypothesis, we present a simple extension of SDT—the decision noise model—with which we demonstrate that shifts in a decision criterion can be masked by decision noise. In addition, we propose a new statistic that can help identify whether the violations of SDT stem from perceptual or from decision processes. The results of a stimulus classification experiment—together with model fits to past experiments—show that decision noise substantially affects performance. These findings suggest that decision noise is important across a wide range of tasks and needs to be better understood in order to accurately measure perceptual processes.     

第二语言阅读中的元认知

在第二语言习得领域,元认知自20世纪90年代中后期开始引起了研究者的关注并逐渐被应用于阅读、写作、听力和口语等各种教学实践中。该文以元认知结构的二分法为框架,说明了心理学研究者致力于探讨第二语言学习者通过元认知监控来使用元认知知识的内部加工过程的特点,并从影响第二语言阅读的自我观念、文本内容和策略使用意识等方面系统介绍了元认知知识、监控与第二语言阅读的关系,最后对元认知的研究方法进行了归纳和展望     

学会感判断相对精确性的研究范式与指标

学会感削断是个体对正在学或刚学过的材料的学习程度的判断,它是元认知监控的重要形式.本文介绍了学会感判断研究的LJR范式与PRAM范式,分析了学会感判断相对精确性指标Gamma系数及其变式的应用与优缺点,最后针对指标的使用和发展提出了建议.