过程(计算)
透视图(图形)
认知
背景(考古学)
计算机科学
普通合伙企业
知识管理
工作(物理)
批判性思维
过程管理
心理学
人工智能
业务
工程类
机械工程
生物
财务
操作系统
古生物学
神经科学
教育学
作者
Anastasia Kitsantas,Amy L. Baylor,Suzanne E. Hiller
标识
DOI:10.1016/j.cogsys.2019.09.003
摘要
The purpose of the present paper is to (a) discuss how intelligent systems can augment cognitive capacity, and through self-regulation, assist learners to engage in critical thinking and (b) provide an example that highlights the information-rich context of the work environment and the role of self-regulation in working in partnership with technology to achieve peak performance. Self-regulation from a social cognitive perspective is conceptualized as a fluid, cyclical process whereby learners use externally provided or self-generated feedback to evaluate and adjust their learning strategies. With advances in technology, this paper attempts to illustrate how workers in jobs of the future will be supported in new ways to analyze data, make interpretations and draw inferences, evaluate situations, and make decisions within a work context before, during, and post-work. Educational implications will be discussed.
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