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Seeing Deep Structure From the Interactions of Surface Features

机译:从表面特征的相互作用看深层结构

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Transfer is typically thought of as requiring individuals to “see” what is the same in the deep structure between a new target problem and a previously encountered source problem, even though the surface features may be dissimilar. We propose that experts can “see” the deep structure by considering the first-order interactions of the explicit surface features and the second-order relationships between the first-order cues. Based on this speculative hypothesis, we propose a domain-specific bottom-up instructional approach that teaches students explicitly to focus on deriving the first-order interactions cues and noticing the second-order relationships among the first-order interaction cues. To do so, researchers and instructional designers need to first extract from experienced solvers or experts how they derive such first-order cues. Transfer is assumed to be based on the similarities in the second-order relationships, which are familiar everyday relationships such as equal to, greater than, and so forth.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00461520.2012.695709
机译:通常认为转移是要求个人“看”新目标问题和先前遇到的源问题之间的深层结构的相同之处,即使表面特征可能不同。我们建议专家可以通过考虑显式表面特征的一阶相互作用和一阶线索之间的二阶关系来“查看”深层结构。基于这种推测性假设,我们提出了一种特定领域的自下而上的教学方法,该方法明确地教给学生专注于推导一阶互动线索并注意一阶互动线索之间的二阶关系。为此,研究人员和教学设计人员首先需要从经验丰富的求解器或专家中提取出他们如何得出此类一阶线索。假定传输基于二阶关系中的相似性,这些相似性是日常常见的关系,例如等于,大于等。查看全文下载全文相关的var addthis_config = {ui_cobrand:“ Taylor&Francis Online” ,services_compact:“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00461520.2012.695709

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