This scoping review aimed to identify and evaluate apps designed to screen or monitor speech, language, and communication (SLC) development in young children. Early identification and intervention are crucial for children with SLC difficulties, but traditional assessments can be time-consuming and lack ecological validity. Technological…

In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…

Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

Recent advancements in Artificial Intelligence (AI) are transforming language education by enabling more effective instructional practices and enhanced learning outcomes. AI-driven technologies--including tutoring systems, personalized learning platforms, and automated assessment tools--have the potential to revolutionize classroom instruction.…