Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…

This study modeled the effects of essay length and language features on the rated quality of second language (L2) expository and argumentative essays composed by Chinese university students. Latent variables were writing quality captured by essay scores, and lexical sophistication, syntactic complexity and cohesion, each of which was measured by…

This study examines the influence of alternate topics on syntactic complexity features in argumentative essays produced by English as a Foreign Language (EFL) learners. The essays were assessed in accordance with the Common European Framework of Reference (CEFR). The study employed two automated natural language processing tools that utilized…

An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…

This study aims to understand how bilingual college students constructed literacy spaces across their lives rather than an in-school/out-of-school dichotomy. Drawing on Lefebvre's (1991) spatial triad as a lens to examine the participants' spatial literacy practices, the findings show that some participants repurposed planned spaces into literacy…

Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most of these findings are from holistic scoring tasks. In the present study, we use a total of four prompts from two different…

The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…

The genre-based approach (GBA) to teaching second language (L2) writing follows the stages of establishing context, modelling, analysis, joint construction, and independent construction. The passage from joint construction to independent construction in the GBA requires scaffolding. Thus, studies on GBA suggest teacher support in independent…

Inspired by Rebecca Oxford's thought-provoking reflections on language learning strategies, and particularly her orchestra metaphor on how the strategies work together, I conducted a study that seeks to understand how non-native writers employ, configure, sequence and combine individual writing strategies when creating a text in the target…

This study investigates the developmental trajectory of progressive construction among Chinese and Japanese EFL learners through a usage-based approach. A total of 600 written essays, produced by EFL learners from China and Japan with proficiency levels ranging from elementary to upper-intermediate, were analyzed. The findings reveal that advanced…

The past few decades have foregrounded cooperative learning and its pedagogical implications for students' academic, psychological, and social gains, particularly, in the Western context. These gains, nonetheless, were sometimes questioned and doubted in the Confucian Heritage Culture (CHC) countries such as China. This study adopts Norton's…

Written argumentation involves providing reasons to support the writer's stance on a contentious issue. A question arose in the study regarding how training in written argumentation would impact Thai EFL learners' ability to reason. The research adopted a quasi-experimental design. A group of English for Communication students received training in…

This paper explores the integration of ChatGPT into the L2 writing classroom as a tool for enhancing teacher feedback on student essays. Using a reflexive case study methodology, we examine how generative AI (GenAI) augments teacher feedback in areas such as thesis clarity, idea development, and grammatical accuracy. By combining ChatGPT's rapid…

Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…

The present study investigated the potential of writing in English as a foreign language (EFL) for language learning by manipulating cognitive task complexity based on related models and hypotheses. English essays written by 59 Chinese postgraduate EFL students from different subject areas were analysed with reference to writing complexity,…