The Involvement Load Hypothesis (ILH) is a framework for designing vocabulary-learning tasks which was proposed by Batia Laufer and Jan Hulstijn in 2001. It assumes that task effectiveness depends on three components induced by a task: a motivational component (need) and two cognitive components (search and evaluation). The hypothesis has been investigated in numerous studies, which have provided varying degrees of support for it. This article reviews the ILH 20 years after it was first proposed and addresses issues arising from the research. The first category of issues is related to the assumptions of the hypothesis, including uncertainty about the relative weight of the components, lack of evidence regarding the effect of the distribution of the components, and the limited range of scores available to assign to tasks. The second category involves variables affecting the predictive ability of the hypothesis, including time on task, level of proficiency, and frequency of exposure. Two studies, which investigated these issues, are discussed. One of them suggested extending evaluation, clarifying the role of search, and redefining need to solve the issues related to the assumptions. The other revealed the effects of the variables in addition to showing the usefulness of the framework for predicting task effectiveness and the relative weight of the components. Issues that remained unresolved are discussed.

中文翻译：

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加强参与负荷假设作为课堂词汇研究的工具

参与负荷假设 (ILH) 是一个设计词汇学习任务的框架，由 Batia Laufer 和 Jan Hulstijn 在 2001 年提出。它假设任务的有效性取决于任务诱导的三个组成部分：一个动机组成部分（需要）和两个认知组件（搜索和评估）。该假设已在许多研究中进行了调查，这些研究为其提供了不同程度的支持。本文回顾了 ILH 首次提出 20 年后的情况，并解决了研究中出现的问题。第一类问题与假设的假设有关，包括组件相对权重的不确定性、缺乏有关组件分布影响的证据以及可分配给任务的分数范围有限。第二类涉及影响假设预测能力的变量，包括完成任务的时间、熟练程度和接触频率。讨论了两项调查这些问题的研究。其中一位建议扩展评估，明确搜索的作用，并重新定义需要解决与假设相关的问题。另一个揭示了变量的影响，除了显示框架在预测任务有效性和组件的相对权重方面的有用性。讨论了仍未解决的问题。明确搜索的作用，重新定义需要解决相关问题的假设。另一个揭示了变量的影响，除了显示框架在预测任务有效性和组件的相对权重方面的有用性。讨论了仍未解决的问题。明确搜索的作用，重新定义需要解决相关问题的假设。另一个揭示了变量的影响，除了显示框架在预测任务有效性和组件的相对权重方面的有用性。讨论了仍未解决的问题。