ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…

This study investigated the effectiveness of applying pedagogical translanguaging by utilizing Google Translate to facilitate college juniors in writing presentation scripts. Participants included 109 non-English major juniors divided into high- and low-proficiency groups, with 56 and 53 students, respectively. Each participant first drafted their…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…

This research was prompted by the phenomenon of binge-watching Korean television series (K-drama) amongst college students in Taiwan, where English as a foreign language (EFL) is a required course. The researcher-teacher sought to create a pedagogically useful list of the frequent semantically non-compositional multi-word expressions (MWEs) for…

In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop questionnaire to understand how the individual-level traits of Chinese teachers (such as their…

This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…

Narrow reading has not received much attention from researchers regarding its contributions on L2 learners' background knowledge, vocabulary knowledge, and writing styles. This study therefore investigated the effect of narrow reading on English as a foreign language (EFL) learners' vocabulary learning. Twelve graded readers were selected and…

This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…

With increasingly rapid advances in machine translation (MT) technology, such as Google Translate, MT has become an indispensable learning resource for second or additional language learners. Many studies indicate that MT or postediting of MT (PEMT) can be an effective tool for L2 learning and teaching. Nevertheless, little research illustrates…

In this study, we carried out an online cross-cultural learning activity supported by speech-enabled language translation technology on a social network service with representatives from 13 nationalities. The participants were assigned into two groups: Group I discussed the traditions and related culture of interest whereas Group II discussed…

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…

This study examined the influence of formulaic language on second language (L2) listeners' lower-level processing, in terms of their ability to accurately identify the words in texts. On the one hand, there were reasons for expecting the presence of the formulas to advantage the learners, because the learners would process these formulaic words…

This paper explored a less-studied preposition, "after," and its uses in a corpus. The analysis included an inspection of dictionary senses, followed by the distributional patterns of parts-of-speech, the co-appearing verbs of "after," the contextual uses of [-"ly after"] and [-"ly after"+NOUN], and finally…

Corpora are well-known for the affordance to make linguistic regularities salient. Since the coinage of the term 'data-driven learning' (DDL) in the 1990s, much has been done to investigate the effects of DDL on learning vocabulary, most notably lexico-grammatical patterns. However, less researched is how learners construct vocabulary knowledge…

Lexical competence is considered as an important indicator of language proficiency. While learning vocabulary, learners need to remember various aspects of knowledge about the word (e.g., meaning, form and use). Many vocabulary learning strategies have been proposed to help learners consolidate vocabulary knowledge. Among them, grouping words…