| Literature DB >> 24812537 |
Jingchen Liu1, Gongjun Xu1, Zhiliang Ying1.
Abstract
Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the correct identification of attributes associated with items in a test. In this paper, we set up a mathematical framework under which theoretical properties may be discussed. We establish sufficient conditions to ensure that the attributes required by each item are learnable from the data.Entities:
Keywords: Classification model; Q-matrix; cognitive assessment; consistency; diagnostic; self-learning
Year: 2013 PMID: 24812537 PMCID: PMC4011940 DOI: 10.3150/12-BEJ430
Source DB: PubMed Journal: Bernoulli (Andover) ISSN: 1350-7265 Impact factor: 1.595