No abstract

As a high-stakes standardized test, IELTS is expected to have comparable forms of test papers so that test takers from different test administration on different dates receive comparable test scores. Therefore, this study examined the text difficulty and task characteristics of four parallel academic IELTS reading tests to reveal to what extent the four tests were comparable in terms of text difficulty, construct coverage, response format, item scope, and task scope. The Coh-Metrix-TEA software was used for the text difficulty analyses and expert judgments were used for task characteristics analyses. The results show that the four reading tests were partly comparable in text difficulty, comparable in terms of construct coverage and item scope, but not comparable in terms of response format and task scope. Based on the findings, implications were discussed on test development and future research.

Differential Item Functioning (DIF) analysis is always an indispensable methodology for detecting item and test bias in the arena of language testing. This study investigated grade-related DIF in the General English Proficiency Test-Kids (GEPT-Kids) listening section. Quantitative data were test scores collected from 791 test takers (Grade 5 = 398; Grade 6 = 393) from eight Chinese-speaking cities, and qualitative data were expert judgments collected from two primary school English teachers in Guangdong province. Two R packages “difR” and “difNLR” were used to perform five types of DIF analysis (two-parameter item response theory [2PL IRT] based Lord’s chi-square and Raju’s area tests, Mantel-Haenszel [MH], logistic regression [LR], and nonlinear regression [NLR] DIF methods) on the test scores, which altogether identified 16 DIF items. ShinyItemAnalysis package was employed to draw item characteristic curves (ICCs) for the 16 items in RStudio, which presented four different types of DIF effect. Besides, two experts identified reasons or sources for the DIF effect of four items. The study, therefore, may shed some light on the sustainable development of test fairness in the field of language testing: methodologically, a mixed-methods sequential explanatory design was adopted to guide further test fairness research using flexible methods to achieve research purposes; practically, the result indicates that DIF analysis does not necessarily imply bias. Instead, it only serves as an alarm that calls test developers’ attention to further examine the appropriateness of test items.

Literature ReviewReal-time online language teaching and learning has become an increasingly promising business opportunity in recent years, due to the flexibility of time and space it allows and the increasing number of available video-conferencing platforms (e.g., Skype, Zoom). Compared with asynchronous teaching modes, real-time/synchronous online language teaching has the advantage of enabling rapid negotiation of meaning and timely responses, enhancing interactivity between interlocutors, and better sustaining Qi Qi et al.

As a especial type of synchronous method, compound synchronization is designed by multiple drive systems and response systems. In this paper, a new type of compound synchronization of three drive systems and two response systems is investigated. According to synchronous control of five memristive cellular neural networks (CNNs), the theoretical analysis and demonstration are given out by using Lyapunov stability theory. The corresponding numerical simulations and synchronous performance analysis are supplied to verify the feasibility and scalability of compound synchronization design.