先前知识对推理学习的影响
How Prior Knowledge Affects Category Learning
DOI: 10.12677/ap.2011.12010, PDF, HTML,  被引量 下载: 3,629  浏览: 8,322  国家自然科学基金支持
作者: 邢强, 车敬上：
关键词: 类别学习；推理学习；先前知识；眼动；Category Learning; Inference Learning; Prior Knowledge; Eyetracking
摘要: 采用眼动方法研究了先前知识对推理学习的影响。实验采用单因素被试内设计，考察了被试在推理学习过程中对知识相关维度和无关维度的注视情况。结果表明被试对相关维度的注意多于无关维度，并且这种倾向在实验一开始就出现了，说明先前知识能够促进对知识相关维度的学习。
Abstract: The paper studied how prior knowledge affects the inferenc learning by eyetracking. Using one-way within-subjects design, the experiment examined subjects’ fixations on knowledge-related demensions and knowledge-unrelated ones. The results showed that subjects allocated more attention to knowledgerelated demensions than knowledge-unrelated ones, and the tendency appeard in the beginning. This showed that prior knowledge can promote the learning of knowledge-related demensions.
文章引用：邢强, 车敬上 (2011). 先前知识对推理学习的影响. 心理学进展, 1(2), 62-70. http://dx.doi.org/10.12677/ap.2011.12010

参考文献

[1] 陈红敏, 郭璐, 莫雷, 郑海燕(2010). 一致的先前知识对类别学习影响机制的探讨. 心理科学, 1期, 20-23.
[2] 阴国恩, 张阔, 王敬欣(2003). 基于理论的类别观和类别形成中的知识效应. 心理科学, 4期, 731-732.
[3] 张阔, 阴国恩, 王敬欣(2006). 先前知识对初中学生学习家族相似性类别的影响. 心理学探新, 1期, 56-61.
[4] 郑海燕, 郭璐, 莫雷, 陈红敏(2008). 机械特征相似程度不同情况下类别联想对类别学习的影响. 心理科学, 3期, 588-591.
[5] 郑海燕, 莫雷(2010). 双类别情境中类别特征的相似性与竞争性对特征推理的影响. 心理科学, 2期, 289-293.
[6] Barsalou, L. W. (1985). Ideals, central tendency, and frequency of instantiations determinants of graded structure in categories. Journal of Experimental Psychology: Learning, Memory and Cognition, 11, 626-654.
[7] Blair, M. R., Watson, M. R., Walshe, R. C., & Maj, F. (2009). Extremely selective attention: Eye-tracking studies of dynamic attention allocation to stimulus features in categorization. Journal of Experimental Psychology: Learning, Memory and Cognition, 35, 1196- 1206.
[8] Hoffman, A. B., Harris, H., & Murphy, G. L. (2008). Prior knowledge enhances the category dimensionality effect. Memory & Cognition, 36, 256-270.
[9] Kaplan, A. S., & Murphy, G. L. (2000). Category learning with minimal prior knowledge. Journal of Experimental Psychology: Learning, Memory and Cognition, 26, 829-846.
[10] Kim, S., & Rehder, B. (2009). Knowledge effect the selective attention in category learning: An eyetracking study. In N. Taatgen, H. van Rijn, L. Schomaker, & J. Nerbonne(Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. Mahwah，NJ: Erlbaum.
[11] Love, B. C., Medin, D. L., & Gureckis, T. M. (2004). SUSTAIN: A network model of category learning. Psychological Review, 111, 309-332.
[12] Rehder, B., & Hoffman, A. B. (2005). Thirty-something categorization results explained: Selective attention, eyetracking, and models of category learning. Journal of Experimental Psy-chology: Learning, Memory, and Cognition, 31, 811-829.
[13] Spalding, T. L., & Murphy, G. L. (1999). What is learned in knowledge-related categories? Evidence from typicality and feature frequency judgments. Memory & Cognition, 27, 856-867.
[14] Wisniewski, E. J., & Medin, D. L. (1994). On the interaction of theory and data in concept learning. Cognitive Science, 18, 221-281.