An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)-based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020; Liakin, Cardoso & Liakina, 2015; McCrocklin, 2019), but how ASR recognizes accented speech and the nature of the feedback it provides to…

According to cognitive psychologists, consistent practice (i.e., tasks with a high degree of similarity) of a skill leads to the development of automaticity, with the degree of automatization being increased if the practice also involves exact repetition. Practice is skill specific, meaning that practicing one skill does not automatize related…

Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…

Vocabulary learning is important to learners of a second language (L2). Nonetheless, organizing young children to practice L2 words in a classroom setting might cause many challenges to educators and practitioners. New technologies such as Automatic Speech Recognition (ASR) may be utilized to solve the issue. In this study, we present a…

Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…

Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…

The use of automated feedback (AF) has been increasing in English writing courses for emergency remote education (ERE) due to the escalating COVID-19 pandemic crisis in Vietnam. The ERE English writing courses for in-service bachelor programs demanded an effective, fast, free, and user-friendly AF tool that does not require a login ID, which can…

Mobile learning has extensively influenced students' learning gains and motivation due to the hardware and software development of mobile devices and applications in recent decades. On-the-go learning increases the capacity for flexible and joyful learning and guarantees access to the instructional content anywhere, anytime. Despite their…

Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…

While studies on teacher written feedback and automated writing evaluation (AWE) feedback have proliferated in recent decades, little attention has been paid to how AWE-teacher integrated feedback would influence students' engagement and their writing performance in second language (L2) writing. Against this backdrop, a quasi-experimental design…

Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…

Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…

With the rapid advance in educational technology, electronic feedback (e-feedback) has found its way to EFL writing process. The aim of this study is to investigate the effects of three e-feedback modes, that is, automated written corrective feedback (AWCF), asynchronous computer-mediated communication (ACMC), and their combination on EFL…

Writing achievement is crucial for English as a foreign language (EFL) learners due to its impact on language skills, overall proficiency, academic success, creativity, and critical thinking. However, the teacher feedback may be problematic due to timing, subjectivity, overemphasis, and alignment with learning goals. Automated feedback, on the…

Information and communication technologies have been transforming the way we teach and learn. Either for facilitating teaching practices or for making learning more interesting and joyful for the learners, artificial intelligence-based applications are utilized in recent years. In this connection, this study intends to examine if automated…