Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…

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…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

Millions of public-school students in the United States are identified as English language learners (ELLs), whose academic success is tied to their second language (L2) English education. Previous research in adult populations indicates that L2 proficiency is related to the contextual variable of the prevalence of one's first language (L1) among…

With the wide introduction of English-medium instruction (EMI) to higher education institutions throughout East Asian countries, many East Asian universities are using English proficiency tests that were not originally designed for this context to make admissions and placement decisions. To support the use of these tests in this new EMI context,…

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…

The assessment of oral proficiency in English for Specific Purposes (ESP) contexts remains a central challenge for researchers, test developers, and classroom teachers (Knoch & Macqueen, 2020). This problem is apparent especially in Tourism and Hotel Management (THM) programs, where students are tested mostly based on grammar, vocabulary, and…

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…

The heightened importance of foreign languages (L2) in the post 9-11 world demands more L2 listening research as listening is considered the most critical skill for most American military linguists. Some larger studies show that lexical knowledge can positively affect L2 listening (Chang, 2007; Mehrpour & Rahimi, 2010; Staehr, 2009), yet…

Second language (L2) phonological acquisition involves learning novel target-language sounds, variable forms of sounds that arise in different phonological contexts, and any phonotactic constraints that govern their appearance. Interlanguage (IL) grammars must adapt to represent sounds and constraints that are novel to the native language (L1)…

A common drawback in traditional language education is that all students in the same class use the same content. Since students may have different backgrounds such as prior knowledge and learning speed, one single curriculum may not be able to accommodate every student. Unfortunately, most students cannot afford personalized language learning,…

Latinx dual language learners (DLLs) are an enormous and growing student body that faces educational adversities and inequities. One of the most salient findings to emerge from decades of educational research is that DLLs who close the gap with their monolingual peers and have the best long-term academic performance are those who develop strong…

Intelligent Computer Assisted Language Learning (ICALL) uses advanced technology to provide customized learning and individualized feedback to foreign language students (Heift & Schulze, 2007). Some comprehensive ICALL programs claim the ability to take learners from no knowledge of a language to levels of advanced knowledge and comprehension.…

This dissertation aims to identify the locus of L2 processing inefficiency. Previous studies suggest that non-native processing is a specific result of an inefficient predictive mechanism that limits the ability of learners to generate linguistic expectations (Gruter, Rohde, & Schafer, 2014; 2016). Thus, this study employs two distinct online…

The purpose of this sequential mixed method study was to determine if there were differences between central office administrators', school administrators', and bilingual and English as a second language (ESL) teachers' overall and levels of action, self-regulation, and means efficacies, when controlling for years of experience with bilingual and…