To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

In this article, a learner-centered pedagogical process for scaffolding a deliberate use of MT is presented with the goal of promoting student agency and personal expression. By developing awareness that translations entail contextually-sensitive options, students learn to critically assess different forms while actively engaging with translation…

Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…

This research paper presents a quasi-experimental empirical study investigating the effects of structured input and structured output tasks on the acquisition of English causative forms. This research is framed on VanPatten's (1996) input processing theory. The grammatical form chosen for this investigation is affected by a processing strategy…

The advance of new hearing technologies has generated high expectations regarding the development and learning of deaf children, but little research has been done on the language levels of this generation of deaf learners who receive education at the same pace as their hearing peers. The aim of this study was to examine the relationships between…

Background and aims: The purpose of the current exploratory study was to describe the inferential narrative comprehension skills of young school-age children on the autism spectrum who, as a group, are at high risk of significant and persistent reading comprehension difficulties. Our aim was to investigate whether the anticipated difficulties in…

The two main components of Processing Instruction (PI) are Explicit Information (EI) and Structured Input (SI). Most researchers have concluded that the SI is more responsible for learner gains than the EI (Benati, 2004a, 2004b; VanPatten & Oikennon, 1996; Wong, 2004). However, some researchers have found that EI does significantly impact…