Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…

This paper reviews the theoretical and pedagogical affordances and challenges highlighted in studies on correcting second language (L2) learners' errors via computer-mediated feedback (CMF) in blended and distance learning. The study aimed at understanding and conveying the reported challenges and affordances of CMF to inform the computer-assisted…

Purpose: The authors created a database of expository oral language samples with the aims of describing the nature of students' expository discourse and providing benchmark data for typically developing preteen and teenage students. Method: Using a favorite game or sport protocol, language samples were collected from 235 typically developing…

Background: The rising prevalence of autism spectrum disorders (ASD) increases the need for evidence-based behavioral treatments to lessen the impact of symptoms on children's functioning. At present, there are no curative or psychopharmacological therapies to effectively treat all symptoms of the disorder. Early intensive behavioral intervention…