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首页> 外文期刊>Current directions in psychological science: a journal of the American Psychological Society >A Formal Psychological Model of Classification Applied to Natural-Science Category Learning
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A Formal Psychological Model of Classification Applied to Natural-Science Category Learning

机译：自然科学类别学习综合分类的正式心理模型

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摘要

The field of psychological science has seen major advances in the development of formal models of perceptual classification learning; however, little work has tested such models in real-world natural-category domains. In our current project, we aim to fill that gap by testing the ability of a formal exemplar model of classification to predict learning of rock categories in the geologic sciences. As a prerequisite for testing the model in this domain, we have conducted extensive work to derive a high-dimensional feature-space representation for the rock stimuli. An eight-dimensional representation yields good accounts of naive participants' judgments of similarity among a large battery of rock-picture samples; furthermore, the eight dimensions have natural psychological interpretations. We then use the exemplar model in combination with the derived feature-space representation to successfully predict participants' learning and generalization of a variety of scientifically defined rock categories. We discuss further steps for making use of the model and its associated feature-space representation to search for effective techniques of teaching categories in the science classroom.
机译：心理科学领域已有人们对感知分类学习的正式模型的主要进步;但是，很少的工作已经测试了现实世界自然类别域中的这种模型。在我们当前的项目中，我们的目标是通过测试正式示范的分类模型来预测地质科学中岩石类别的能力来填补这种差距。作为测试该域中模型的先决条件，我们对岩石刺激进行了广泛的作品来得出高维特征空间表示。八维代表产生了朴素的参与者在岩石图像样本的大电池中的相似性判断的良好叙述;此外，八个维度具有自然的心理解释。然后，我们将示例性模型结合使用衍生的特征空间表示来成功预测参与者的学习和泛化各种科学定义的岩石类别。我们讨论利用该模型及其相关特征空间表示的进一步措施，以寻求科学课堂教学类别的有效技术。

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