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Exploring Multidimensional Approaches to the Efficiency of Instructional Conditions

机译:探索提高教学条件效率的多维方法

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摘要

Research on Cognitive Load Theory has shownthat measures of cognitive load can revealimportant information about the cognitiveconsequences of instructional conditions thatis not necessarily reflected by traditionalperformance-based measures. Although, theindividual measures of cognitive load can beconsidered important to determine the power ofdifferent instructional conditions, ameaningful interpretation of a certain level ofcognitive load can only be given in the contextof its associated performance level, and viceversa. This was recognized by Paas and VanMerriënboer (1993) who developed a2-dimensional computational approach to combinemeasures of test performance with measures ofthe associated mental effort in order tocompare the `mental efficiency'' ofinstructional conditions. In this approach,high task performance associated with loweffort is termed high instructional efficiency,whereas low task performance with high effortis termed low instructional efficiency.Here we explore the utility of employingmulti-dimensional approaches, in particular two2-dimensional efficiency measures and a new3-dimensional approach, which combines themeasures of learning effort, test effort andtest performance. Each of these approaches withtheir associated insights and analyses may beuseful for instructional researchers, e.g. asdiagnostic instruments to identify differentaspects of efficient or inefficientinstructional conditions and can be implementedin a broad range of learning environments,including electronic environments, possiblyenabling more effective learning-task selection.
机译:认知负荷理论的研究表明,认知负荷的量度可以揭示关于教学条件认知后果的重要信息,而传统的基于绩效的量度并不一定能反映出这些信息。尽管可以将认知负荷的各个量度视为确定不同教学条件的能力很重要,但是只能在认知负荷的相关绩效水平的背景下对认知负荷的特定水平进行有意义的解释,反之亦然。 Paas和VanMerriënboer(1993)认识到了这一点,他们开发了一种二维计算方法,将测试成绩的度量与相关的精神努力的度量相结合,以比较教学条件的“心理效率”。在这种方法中,与低努力相关的高任务绩效被称为高教学效率,而高努力的低任务绩效被称为低教学效率。在这里,我们探索采用多维方法的效用,尤其是二维效率测度和一种新的3-维度方法,它结合了学习努力,测试努力和测试绩效的度量。这些方法中的每一种及其相关的见解和分析都可能对教学研究人员有用,例如作为一种诊断工具,可以识别有效或无效教学条件的不同方面,并且可以在包括电子环境在内的广泛学习环境中实施,从而有可能实现更有效的学习任务选择。

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  • 来源
    《Instructional Science》 |2004年第2期|133-152|共20页
  • 作者

    Juhani E. Tuovinen; Fred Paas;

  • 作者单位

    School of Education, Charles Darwin University, Darwin, NT, 0909, Australia;

    Educational Technology Expertise Center, Open University of the Netherlands, 6401 DL Heerlen, The Netherlands;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 00:24:23

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