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Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE).预测技术使用情况的因素:来自老龄化与技术增强研究与教育中心(CREATE)的研究结果。
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Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: promising results in a real-world learning environment.年龄、能力以及先验知识在获取新领域知识中的作用:在真实学习环境中取得的有前景的成果。
Psychol Aging. 2005 Jun;20(2):341-355. doi: 10.1037/0882-7974.20.2.341.
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An evaluation of performance by older persons on a simulated telecommuting task.老年人在模拟远程办公任务中的表现评估。
J Gerontol B Psychol Sci Soc Sci. 2004 Nov;59(6):P305-16. doi: 10.1093/geronb/59.6.p305.
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Predicting longitudinal change in language production and comprehension in individuals with Down syndrome: hierarchical linear modeling.预测唐氏综合征患者语言表达和理解能力的纵向变化:分层线性模型
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Effects of domain knowledge, working memory capacity, and age on cognitive performance: an investigation of the knowledge-is-power hypothesis.领域知识、工作记忆容量和年龄对认知表现的影响:知识就是力量假说的一项调查。
Cogn Psychol. 2002 Jun;44(4):339-87. doi: 10.1006/cogp.2001.0769.
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Examining age differences in performance of a complex information search and retrieval task.研究复杂信息搜索与检索任务表现中的年龄差异。
Psychol Aging. 2001 Dec;16(4):564-579. doi: 10.1037/0882-7974.16.4.564.
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Word-processing training and retraining: effects of adult age, experience, and interface.文字处理培训与再培训:成年年龄、经验及界面的影响
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Instance-based automaticity and aging: acquisition, reacquisition, and long-term retention.
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9
Some issues in the statistical analysis of completely randomized and repeated measures designs for speech, language, and hearing research.言语、语言和听力研究中完全随机设计与重复测量设计的统计分析中的一些问题。
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一种用于研究基于计算机任务的技能习得中个体差异的多层次建模方法。

A multilevel modeling approach to examining individual differences in skill acquisition for a computer-based task.

作者信息

Nair Sankaran N, Czaja Sara J, Sharit Joseph

机构信息

Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1695 NW 9th Ave., Miami, FL 33136, USA.

出版信息

J Gerontol B Psychol Sci Soc Sci. 2007 Jun;62 Spec No 1(SPEC):85-96. doi: 10.1093/geronb/62.special_issue_1.85.

DOI:10.1093/geronb/62.special_issue_1.85
PMID:17565169
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2585421/
Abstract

This article explores the role of age, cognitive abilities, prior experience, and knowledge in skill acquisition for a computer-based simulated customer service task. Fifty-two participants aged 50-80 performed the task over 4 consecutive days following training. They also completed a battery that assessed prior computer experience and cognitive abilities. The data indicated that overall quality and efficiency of performance improved with practice. The predictors of initial level of performance and rate of change in performance varied according to the performance parameter assessed. Age and fluid intelligence predicted initial level and rate of improvement in overall quality, whereas crystallized intelligence and age predicted initial e-mail processing time, and crystallized intelligence predicted rate of change in e-mail processing time over days. We discuss the implications of these findings for the design of intervention strategies.

摘要

本文探讨了年龄、认知能力、先前经验和知识在基于计算机的模拟客户服务任务技能习得中的作用。52名年龄在50至80岁之间的参与者在接受培训后连续4天执行该任务。他们还完成了一组评估先前计算机经验和认知能力的测试。数据表明,随着练习,表现的整体质量和效率有所提高。根据所评估的表现参数,初始表现水平和表现变化率的预测因素各不相同。年龄和流体智力预测了整体质量的初始水平和提高率,而晶体智力和年龄预测了初始电子邮件处理时间,晶体智力预测了数天内电子邮件处理时间的变化率。我们讨论了这些发现对干预策略设计的影响。