Pan and Wollack (PW) proposed a machine learning method to detect compromised items. We extend the work of PW to an approach detecting compromised items and examinees with item preknowledge simultaneously and draw on ideas in ensemble learning to relax several limitations in the work of PW. The suggested approach also provides a confidence score,…

Researchers and practitioners in the field of second language acquisition have come to realize the importance of non-cognitive skills such as self-efficacy and self-regulation in students' learning of a second language. However, there has been limited systematic research on such measures in the second language context and the validity and…

Given the significant global influence of the Common European Framework of Reference for Languages: Teaching, Learning, and Assessment (CEFR) on English language education, this study deals with aligning a university's academic reading tests to the CEFR. It aimed at validating the test construct of the academic reading tests in relation to the…

This study examined the content alignment between an English as a foreign language skills curriculum and a provincial language test in China. When there is misalignment in the content between the standards of a curriculum and a test, conclusions about student abilities and teaching effectiveness can be questioned. To examine this, three categories…

Distractors in tests are included to divert attention away from correct answers choices. Knowing what types of distractors commonly appear in tests will benefit test takers as they can prepare themselves beforehand. Therefore, this qualitative study was aimed at making assumptions on plausible lexical distractors which are expected to appear in…

Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale…