The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…

Dynamic assessment has been proven to effectively promote EFL learners' speaking proficiency, but its implementation in teaching speaking skills has been limited. One of the main reasons is that, thus far, very few studies have scrutinized the impacts of its two main models, interactionist and interventionist, on the speaking sub-skills of EFL…

This study investigated the effects of input flood tasks, as focused tasks, and Jigsaw tasks, as unfocused tasks, on promoting Iranian English as Foreign Language (EFL) learners' recognition of regular past tense /-ed/ in terms of accuracy and durability. Accordingly, using a quasi-experimental study, two intact university classes including 62…

With the largest number of English learners in the world, the influence of the English language teaching (ELT) reform in China cannot be underestimated. This article explores the implications of the actual use of English in China's workplace for ELT reform in the context of English as a lingua franca (ELF). On the basis of cross-validated data…

Based on the preliminary research findings in the project-based flipped learning model in Business English Translation course, this study designed a process-oriented assessment model for this course and tested its efficacy by an empirical study on 181 third-year English major students divided into three experimental class and three control class…

A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…

This work develops a computational methodology new to linguistics that empirically evaluates competing linguistic theories on Spanish verbal mood choice through the use of computational techniques to learn mood and other hidden linguistic features from Spanish belief statements found in corpora. The machine learned probabilistic linguistic models…

In native speakers of gender-marking languages, mechanisms of gender production appear to be affected by the morphophonological cues to gender present in the noun phrase. This influence is manifested in higher levels of production accuracy when more transparent cues to gender are present in comparison to when they are not. The goal of the present…

Research on preschoolers' selective learning has mostly been conducted in English-speaking countries. We compared the performance of Turkish preschoolers (who are exposed to a language with evidential markers), Chinese preschoolers (known to be advanced in executive skills), and English preschoolers on an extended selective trust task (N = 144).…