Pragmatic competence has been increasingly recognized as a component of academic language proficiency assessment (Youn, 2018). However, the practicality of administering L2 pragmatic competence assessments involving interlocutors remains problematic (e.g., high labor cost) (Ikeda, 2017). The pandemic makes it even more difficult to administer…

Despite an emphasis on oral communication in most foreign language classrooms, the resource-intensive nature (i.e. time and manpower) of speaking tests hinder regular oral assessments. A possible solution is the development of a (semi-) automated scoring system. When it is used in conjunction with human raters, the consistency of computers can…

With over one million emergent bilinguals enrolled in Texas public schools, a call to action and a review of high-stakes online assessment policy for this student population is essential to achieve equity in education. The purpose of this phenomenological study aimed to explore teachers' perceptions of high-stakes online TELPAS testing and digital…

While recent research has shown that multimodal feedback and use of formulaic sequences (FS) are effective in improving student performance on writing tasks, there is a dearth of studies on the impact of these aspects on computer-based academic speaking assessments. This dissertation seeks to fill this gap by examining the impact of both…

Mandarin Chinese and many other tonal languages use tones that are defined as specific pitch patterns to distinguish syllables otherwise ambiguous. It had been shown that tones carry at least as much information as vowels in Mandarin Chinese [Surendran et al., 2005]. Surprisingly, though, many speech recognition systems for Mandarin Chinese have…

A renewed focus on foreign language (FL) learning and speech for communication has resulted in computer-assisted language learning (CALL) software developed with Automatic Speech Recognition (ASR). ASR features for FL pronunciation (Lafford, 2004) are functional components of CALL designs used for FL teaching and learning. The ASR features…