文章基本信息

标题：A Study about Placement Support Using Semantic Similarity
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作者：Marco Kalz ; Jan van Bruggen ; Bas Giesbers 等
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2014
卷号：17
期号：3
页码：54?4-64
出版社：IFETS - Attn Kinshuck
摘要：This paper discusses Latent Semantic Analysis (LSA) as a method for the assessment of prior learning. The Accreditation of Prior Learning (APL) is a procedure to offer learners an individualized curriculum based on their prior experiences and knowledge. The placement decisions in this process are based on the analysis of student material by domain experts, making it a time-consuming and expensive process. In order to reduce the workload of these domain experts we are seeking ways in which the preprocessing and selection of student submitted material can be achieved with technological support. This approach can at the same time stimulate research about assessment in open and networked learning environments. The study was conducted in the context of a Psychology Course of the Open University of the Netherlands. The results of the study confirm our earlier findings regarding the identification of the ideal number of dimensions and the use of stopwords for small-scale corpora. Furthermore the study indicates that the application of the vector space model and dimensionality reduction produces a well performing classification model for deciding about relevant documents for APL procedures. Together we discuss methodological issues and limitations of our study whilst also providing an outlook on future research in this area.
关键词：Methods; Assessment; Placement; Latent semantic analysis; Accreditation of prior learning; Networked learning