Aging and Metacognition in Strategic Skill Acquisition

描述（由申请人提供）：关于衰老和认知的一个关键问题是战略行为的影响，这是认知表现的年龄差异的原因。策略的影响是否可以与基本信息处理机制中与年龄相关的变化（如联想学习速率减慢或信息处理速度减慢）的作用一起确定？认知任务中策略行为的年龄差异在多大程度上产生、增强或减少了对标准认知任务中基本认知机制年龄变化的估计？虽然很明显，认知策略的年龄差异并不决定（即，（Light，1996; Salthouse，1991），它们在影响几类复杂认知任务的年龄差异中起重要作用（Dunlosky & Hertzog，2001; Lemaire & Arnaud，2002; Kausler，1994; Rogers，Hertzog，&菲斯克，2000）。本研究旨在阐明策略因素对技能获得年龄差异的影响。我们采用名词对学习（NP）任务（阿克曼和沃尔茨，1994）来评估个体从较慢的受控处理（视觉搜索或扫描数组以找到目标词对）转换到基于记忆检索的更流畅的表现（通过重复暴露于相同的配对）的速度。这项任务的初步研究表明，相当大比例的老年人在NP任务中不依赖于从记忆中提取来做出快速判断（Rogers &吉尔伯特，1997; Rogers et al.，2000年），而不是选择留在缓慢但有效的战略扫描阵列的可能答案。我们之前已经证明，老年人和年轻人都能学习新的联想，并利用这种学习来指导NP任务的熟练表现（Touron & Hertzog，出版中; Touron & Hertzog，2003）。我们的方法的一个关键特征是收集试验策略报告以及在线识别记忆探针，这使我们能够跟踪特定项目水平的联想学习导致每个人策略行为变化的方式。使用这种方法，我们已经表明，老年人不愿意依赖于记忆检索策略，尽管足够的名词对学习（项目知识），这种不情愿有助于年龄差异的技能获得率。持续的扫描行为不能完全解释为缺乏名词对学习-转向检索也受到策略选择的年龄差异的影响。对于策略选择的年龄差异，有许多相互竞争的解释，包括：认知能力、人格特征、元认知信念、表现监控或心理任务模型。拟议的研究将考虑这些替代机制和影响老年人的检索不情愿。我们的具体目标是：（1）进行广泛的个体差异研究，评估策略选择与（a）背景能力（如感知速度、联想记忆和流体智力）和（B）个人特征（包括保守性、谨慎性、冲动性、记忆自我概念和项目知识可及性的在线监测）的关系;（2）评估在线元认知的年龄和个体差异，包括快速感知的体验或获得的差异，以及不同策略之间延迟差异的知识更新差异。(3)测试的灵活性，初始反应标准和策略偏好，通过实验操纵教学集，奖励意外事件，和响应的最后期限;（4）检查这些影响的一般性，通过扩展到一个单独的技能获取任务。我们的目标是证明，老年人的技能获得行为是由年龄相关的信息处理的限制，以及意志和战略选择，以评估的作用，战略行为，阻碍老年人的学习速度可以通过干预来克服。

DESCRIPTION (provided by applicant): A critical issue regarding aging and cognition concerns the impact of strategic behavior as a cause of age differences in cognitive performance. Can the influence of strategies be identified in conjunction with the role of age-related changes in basic information processing mechanisms - such as a slowing in rates of associative learning or slowing in information processing speed? To what extent do age differences in strategic behavior in cognitive tasks produce, enhance, or reduce estimates of age changes in basic cognitive mechanisms taken from standard cognitive tasks? Although it is clear that age differences in cognitive strategies do not determine (i.e., completely account for) age differences in cognitive task performance (Light, 1996; Salthouse, 1991 ) they can play an important role in affecting age differences in performance on several classes of complex cognitive tasks (Dunlosky & Hertzog, 2001; Lemaire & Arnaud, 2002; Kausler, 1994; Rogers, Hertzog, & Fisk, 2000). The proposed research will clarify the influence of strategic factors on age differences in skill acquisition. We have adopted the noun-pair learning (NP) task (Ackerman & Woltz, 1994) to assess how quickly individuals switch from a slower form of controlled processing (visual search, or scanning, of an array to find target word pairs) to more fluent performance based on memory-retrieval (made possible by repeated exposure to the same pairings). Initial work with this task demonstrated that a substantial proportion of older adults do not rely on retrieval from memory to make rapid judgments in the NP task (Rogers & Gilbert, 1997; Rogers et al., 2000), opting instead to stay with the slower but effective strategy of scanning the array of possible answers. We have previously shown that both older and younger adults learn new associations and utilize this learning to guide skilled performance in the NP task (Touron & Hertzog, in press; Touron & Hertzog, 2003). A critical feature of our approach is collecting trial by trial strategy reports as well as online recognition memory probes, which allow us to track the way in which associative learning at the level of specific items leads to changes in strategic behavior for each person. Using this approach, we have shown that older adults are reluctant to rely on a memory retrieval strategy despite adequate noun-pair learning (item knowledge), and that this reluctance contributes to age differences in rates of skill acquisition. Persistent scanning behavior cannot be fully explained by deficient noun-pair learning - the shift toward retrieval is also influenced by age differences in strategy choice. A number of competing explanations for age differences in strategy choice are available, including: cognitive abilities, personality characteristics, metacognitive beliefs, performance monitoring, or the mental task model. The proposed research will consider these alternative mechanisms for and influences on older adults' retrieval reluctance. Our specific aims are to: (1) conduct an extensive individual differences study that evaluates the relationship of strategic choice to (a) background abilities, such as perceptual speed, associative memory, and fluid intelligence and (b) personal characteristics, including conservatism, conscientiousness, impulsivity, memory self-concept, and online monitoring of the accessibility of item knowledge; (2) assess age and individual differences in online metacognition, including differences in the experience of or access to a fast feeling-of-knowing as well as differences in updating of knowledge for latency differences across strategies.; (3) test the flexibility of initial response criteria and strategy preferences, by experimentally manipulating instructional sets, reward contingencies, and response deadlines; and (4) check the generality of these effects by extending to a separate skill acquisition task. Our goals are to demonstrate that older adults' skill acquisition behavior is governed both by age-related information processing constraints as well as by volition and strategic choice, to evaluate the role of that strategic behavior which impedes rates of learning in older adults can be overcome through intervention.