Knowing More about Vocational Training - New Demands for Data and Research Infrastructure

Steffen Hillmert
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引用次数: 2

Abstract

Modern societies depend on the successful and comprehensive provision of skills, and receiving vocational training in any form has been experienced by a majority of the population in younger cohorts. There has therefore been a constant demand for timely information about the various forms of training and their relations to a broader societal context. Over the recent decades, the patterns of participation in education and training have become more extended, more complex and more heterogeneous. Against this background, the paper discusses to what extent existing and projected data sources are suitable for investigating the relevant scientific and policy-related questions. Among these questions are: How does participation in training develop over the life course? What are the relative chances of receiving specific types of training; who, in particular, is likely to receive the most attractive types? Are training measures effective? When reviewing the current data situation, it becomes clear that progress has undoubtedly been made in the past few years. It is also obvious, however, that fundamental questions can presently not be answered on the basis of the available large-scale data on vocational education and training. Some key recommendations are presented.
了解更多职业培训-对数据和研究基础设施的新需求
现代社会依赖于成功和全面地提供技能,大多数年轻人都接受过任何形式的职业培训。因此,一直需要及时了解各种形式的培训及其与更广泛的社会背景的关系。近几十年来,参与教育和培训的形式变得更加广泛、更加复杂和更加多样化。在此背景下,本文讨论了现有和预测的数据源在多大程度上适合调查相关的科学和政策相关问题。这些问题包括:参与培训在人的一生中是如何发展的?接受特定类型培训的相对机会是多少?特别是谁更有可能收到最吸引人的类型?培训措施是否有效?在审查目前的数据情况时,可以清楚地看到,过去几年无疑取得了进展。然而,同样明显的是,目前还不能根据现有的关于职业教育和培训的大规模数据来回答一些基本问题。提出了一些关键建议。
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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