惊喜和计算机中介学习:一个基于达尔文观点的理论模型

N. Kock
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引用次数: 1

摘要

本文讨论了各种实证研究结果,表明惊喜与增强记忆回忆呈正相关。这为一种假设打开了大门,即意外的刺激可以以一种可控的方式用于增强学习。提出了一种基于达尔文解释的预测模型。这种模式被称为CLEBS,即“惊喜强化的计算机学习”。在以金融为导向的基于web的学习任务的背景下,讨论了如何对模型进行测试,其中受试者学习诸如股票和债券之类的投资工具。讨论了重要的含义,包括在组织通常感兴趣的各种领域中的可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surprise and Computer-Mediated Learning: A Theoretical Model Based on a Darwinian Perspective
This paper discusses a variety of empirical findings suggesting that surprise is positively related with enhanced memory recall. This opens the door for the assumption that surprising stimuli can be used in a controlled way to enhance learning. A predictive model based on a Darwinian interpretation of this phenomenon is proposed. The model is coined CLEBS, which stands for "computer-based learning enhanced by surprise". A discussion on how the model can be tested is provided in the context of a finance-oriented Web-based learning task, where subjects learn about investment instruments such as stocks and bonds. Important implications are discussed, including possible applications in a variety of areas of interest to organizations in general.
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