使个人学习有意义:相关性研究的新框架。

IF 2.2 4区 教育学 Q1 Social Sciences Journal of Experimental Education Pub Date : 2018-01-01 Epub Date: 2017-10-18 DOI:10.1080/00220973.2017.1380589
Stacy J Priniski, Cameron A Hecht, Judith M Harackiewicz
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引用次数: 105

摘要

个人关联在动机文献中有许多名称,源于许多理论框架。目前,这些研究都是并行进行的,几乎没有综合它们,也许是因为没有统一的相关结构的定义,这一研究可以位于其中。在本文中,我们提出了一个新的框架来综合现有的相关研究,并为研究人员提供一个共同的交流和协作平台。根据这一新的框架,我们回顾了相关性在动机文献中的三个重要理论中的作用:兴趣发展的四阶段模型(Hidi & Renninger, 2006)、期望价值理论(Eccles等人,1983)和自决理论(Deci & Ryan, 1985)。然后,我们探讨了文献中常用的八个相关构念以及由此产生的教育干预措施。最后,对这些结构进行了综合分析,并对今后的研究方向提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Making Learning Personally Meaningful: A New Framework for Relevance Research.

Personal relevance goes by many names in the motivation literature, stemming from a number of theoretical frameworks. Currently these lines of research are being conducted in parallel with little synthesis across them, perhaps because there is no unifying definition of the relevance construct within which this research can be situated. In this paper we propose a new framework to synthesize existing research on relevance and provide a common platform for researchers to communicate and collaborate. In light of this new framework we review the role of relevance in three prominent theories in the motivation literature: the four-phase model of interest development (Hidi & Renninger, 2006), expectancy-value theory (Eccles et al., 1983), and self-determination theory (Deci & Ryan, 1985). We then explore eight relevance constructs commonly used in the literature and the educational interventions that derive from them. Finally, we offer a synthesis of these constructs and suggest some directions for future research.

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来源期刊
CiteScore
6.70
自引率
0.00%
发文量
25
期刊介绍: The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. Recent articles have explored the correlation between test preparation and performance, enhancing students" self-efficacy, the effects of peer collaboration among students, and arguments about statistical significance and effect size reporting. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.
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