Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…

Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…

The field of Heritage Language has experienced a great deal of advancement in the past few decades. Much research effort has been dedicated to analyzing and understanding different aspects of heritage language speakers, but less work has been done in the topic of pedagogical approaches. The few recent studies on pedagogical approaches have focused…

The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Despite extensive research on task planning in L2 writing contexts, the optimal length of pre-task planning time remains uncertain due to varying lengths used in TBLT studies. This study aimed to address this gap by investigating the effects of different pre-task planning times (nil, 5, 10, and 15 minutes) on the argumentative writing task…

Research on language learners' attention suggests that manipulating attention is beneficial in the language learning process as it facilitates the "noticing" of specific linguistic aspects. The current study investigated the effects of directing learners' attention to segments and prosody in English phonetic training. Korean learners of…

English speaking accuracy is one of the most important aspects of Business English. While most studies are conducted to improve English speaking accuracy, they neglect phrasal semantics. This present study involves 30 participants from Phu Em Company. The study employs a mixed-methods design in which the quantitative approach helps quantify the…

This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…

This dissertation investigates how parametric variation of linguistic properties leads to similarities and differences in language processing across the levels of words, grammatical features, and sentences. For a truly generalizable theory of psycholinguistics, the languages surveyed should not be constrained to English (Garnham, 1994; Norcliffe…

ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…

Promoting a high level of student engagement has been a goal for many teachers. Opportunities to respond (OTR) offer a low-cost instructional practice that allows teachers to improve student engagement in the classroom. In this study, we explored the potential effects of a data-driven coaching model on one elementary school teacher's…

Online higher education provides exceptional flexibility in learning but demands high self-regulated learning skills. The deficiency of self-regulated learning skills in many students highlights the need for support. This study introduces a confidence-based adaptive practicing system as an intelligent assessment and tutoring solution to enhance…

This matched-sample study investigates the use of a wide range of texts of varying--and often challenging--complexity to promote fluency for students experiencing below grade level achievement. We designed a repeated-reading protocol called 'Read Like Us', and performed a pilot implementation in small groups with third- and fourth-grade students…

The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…