Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…

Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…

The flipped classroom model (FC), as a new instructional approach, has been implemented by different disciplines over the past few years. However, the use of this model is still in its infancy in the field of foreign language education. The present study explored the efficacy of using the FC model in facilitating the acquisition of grammar among…

This study examines and compares L2 grammatical accuracy in digital multimodal writing (DMW) and monomodal text-based writing (TBW). Utilizing a mixed-methods design, the research incorporates a dataset comprising 180 written texts, a questionnaire, and text-based interviews. Sixty EFL learners were assigned to two groups (TBW and DMW) and…

In the present study, two sets of scripts from primary school students were collected, one written in English and the other in their native Chinese on the same topic. The Chinese scripts were translated into English by Google Translate (GT) and compared with the scripts written in English. Sentences in the two sets of passages that were clearly…

This study aims at investigating the language strengths and weaknesses of Hong Kong self-directed learners, their learning needs, and their self-directed learning experiences with the use of diagnostic language test and examining whether the test can help the learners to self-direct their own learning. The test results showed that less than half…

This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…

Studies into the use of Twitter for language learning have mostly been small-scale evaluations undertaken by teachers researching the effectiveness of their own initiatives to use it with their students. To date, there has not been a large quantitative study of how language learners use Twitter autonomously. This paper reports on a large-scale…

This article reports on a language learning system and a program designed to help students with academic vocabulary in the New Zealand university computer science department. The system is a learner-friendly corpus-based tool that allows students to look up lexico-grammatical patterns of a given word in academic writing. The program, based on a…