This study investigates how intelligent personal assistants (IPAs, e.g., Google Assistant), AI language learning applications, and peer interactions shape the learning experiences of 201 seventh-grade Korean EFL students. The students participated in a 12-week intervention and were categorized into four groups: Google Assistant, AI app, peer…

This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…

This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…

Accurate spelling matters for L2 learners: It facilitates communication, affects other aspects of the writing process, and is an important assessment criterion. However, even in phonologically transparent writing systems like Spanish, L2 learners experience spelling difficulties. Nonetheless, explicit spelling instruction appears to be neglected…

Automated writing evaluation (AWE) systems have been introduced to ESL/EFL classes in the hopes of reducing teachers' workloads and improving students' writing by providing instant holistic scores and corrective feedback (Jiang & Yu, 2020; Link et al., 2014; Ranalli & Yamashita, 2019; Warschauer & Ware, 2006). When it comes to…

The present study applied a multiple-case study design to investigate Chinese as a foreign language (CFL) students' responses to computer-mediated coded feedback and the factors that influence students' responses in an online multiple-draft Chinese writing context. Three intermediate-level students of Chinese completed four drafts for which they…

This study experimentally investigated the effectiveness of feedback on learner refusals in a computer-simulated academic advising session. Ninety participants were assigned to one of three conditions: implicit feedback, explicit feedback, and comparison group. Oral and written discourse completion tasks (DCTs) were administered in a pretest…

Using the single-group pre-posttest design, this exploratory study examined whether L2 learners of English can learn a speech act by experiencing perlocutionary effects of the act as feedback (observing their interlocutor's reactions to their choice of speech act expressions). Sixty undergraduate English learners at a university in China played a…

In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…

This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…

To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…

The problem of cognitive overload is particularly pertinent in multimedia L2 classroom corrective feedback (CF), which involves rich communicative tools to help the class to notice the mismatch between the target input and learners' pronunciation. Based on multimedia design principles, this study developed a new multimodal CF model through…

Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…

This study scrutinizes the range and types of feedback given for word choice errors occurring in the English Taiwan Learner Corpus (ETLC), which contains Taiwanese high school students' English writings and the corrective feedback provided by L2 writing teachers. All instances of word choice error tags (n = 1,439) were extracted from the ETLC for…

This study investigated the effects of corrective feedback (CF) during in-class computer-mediated collaborative writing on grammatical accuracy in a new piece of individual writing. Forty-eight ESL students at an American university worked on two computer-mediated animation description tasks in pairs. The experimental group received indirect CF on…