基于阈值概念的商业教育教材和在线学习媒体的计算语言学评价
Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education
摘要：
阈值概念是基于领域的知识获取中的关键术语。它们被认为是特定学习者领域知识概念发展的基石。然而，从语言学的角度来看，阈值概念是专门词汇的实例，表现出特定的语言特征。门槛概念通常用于教科书等专业文本中-也就是说，在正式的学习环境中。然而，他们也发生在非正式的学习环境，如报纸。在这篇文章中，第一种方法是将两条线结合成一个总体的研究计划-也就是说，提供一个计算语言评估不同的资源，包括特别是在线资源，通过阈值的概念。为此，63个阈值概念的商业教育（已收集的阈值概念研究）的分布概况进行了调查，在三种（德国）资源，即教科书，报纸和维基百科。维基百科是最大和最广泛使用的在线资源之一。我们考察了阈值概念在三类资源中的频率分布、复合分布和网络结构。本文的主要发现可以概括为以下两点：第一，这三种资源确实可以通过它们的阈值概念轮廓来区分。其次，维基百科显然是一个正式的学习资源。
英文摘要：
Threshold concepts are key terms in domain-based knowledge acquisition. They are regarded as building blocks of the conceptual development of domain knowledge within particular learners. From a linguistic perspective, however, threshold concepts are instances of specialized vocabularies, exhibiting particular linguistic features. Threshold concepts are typically used in specialized texts such as textbooks -- that is, within a formal learning environment. However, they also occur in informal learning environments like newspapers. In this article, a first approach is taken to combine both lines into an overarching research program - that is, to provide a computational linguistic assessment of different resources, including in particular online resources, by means of threshold concepts. To this end, the distributive profiles of 63 threshold concepts from business education (which have been collected from threshold concept research) has been investigated in three kinds of (German) resources, namely textbooks, newspapers, and Wikipedia. Wikipedia is (one of) the largest and most widely used online resources. We looked at the threshold concepts' frequency distribution, their compound distribution, and their network structure within the three kind of resources. The two main findings can be summarized as follows: Firstly, the three kinds of resources can indeed be distinguished in terms of their threshold concepts' profiles. Secondly, Wikipedia definitely appears to be a formal learning resource.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
