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 explored how visual input enhancement impacts caption-reading behaviors, the acquisition of English collocations, and the recall of onscreen captions. The participants comprised 53 Korean undergraduate students at a high-intermediate level of English proficiency. They were assigned to either a baseline or an enhancement group. The…

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…

Adopting the approaches of "pattern hunting" and "pattern refining" (Kennedy & Miceli, 2001, 2010, 2017), this study investigates how seven freshman English students from Taiwan used the Corpus of Contemporary American English to discover collocation patterns for 30 near-synonymous change-of-state verbs and new ideas about…

While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…

This study investigates the possibility and efficacy of paper-based, in-class, data-driven learning (DDL) of academic lexical bundles below the C1 level of proficiency described by the Common European Framework of Reference (CEFR; advanced high ACTFL). A two-stage experimental design involving three groups (n = 41) and 24 two-to-four word academic…

This study analyses the effects of data-driven learning (DDL) on the phraseology used by 223 English students at an Italian university. The students studied the genre of opinion survey reports through paper-based and hands-on exploration of a reference corpus. They then wrote their own report and a learner corpus of these texts was compiled. A…

Although data collection has been used in language learning settings for some time, it is only in recent decades that large corpora have become available, along with efficient tools for their use. Advances in natural language processing (NLP) have enabled rich tagging and annotation of corpus data, essential for their effective use in language…

Research suggests that pre-task planning time provides learners with opportunities to formulate, organize, and mentally store content, thereby freeing up attentional resources during tasks (Skehan, Xiaoyue, Qian, & Wang, 2012). However, relatively few studies to date have investigated pre-task planning in a synchronous computer-mediated…

This article investigates the role of direct corpus use in learners' collocational competence in academic writing. An experiment was conducted between two groups of Chinese postgraduates who had no previous knowledge of corpora. It was embedded in a regular 4-month linguistics course in the students' programmes, where a corpus-assisted method was…

This paper explores the feasibility of an automated, online form of L2 strategy instruction (SI) as an alternative to conventional, classroom-based forms that rely primarily on teachers. Feasibility was evaluated by studying the effectiveness, both actual and perceived, of a five-week, online SI course designed to teach web-based dictionary skills…

Patterns of students' language learning were examined through an asynchronous cross-cultural bilingual communication project conducted between Japanese university students learning English and Canadian university students learning Japanese. Previous studies on cross-cultural communication projects have reported positive outcomes in providing…

This paper adopts an automated frequency-driven approach to identify frequently-used word combinations (i.e., "lexical bundles") in academic writing. Lexical bundles retrieved from one corpus of published academic texts and two corpora of student academic writing (one L1, the other L2), were investigated both quantitatively and qualitatively.…