The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…

The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may…

One of the missions of language education internationally is to enable students to use language in a context-appropriate manner. Against this backdrop, students' ability to linguistically encode formality emerges as an important issue. Using extracts of writing produced by 16-year-old students in 2004 and 2014, this study sought to investigate…

Research on the use of ChatGPT in education has proliferated in the past years. However, there is limited understanding of how English as a Foreign Language (EFL) learners engage emotionally with and utilize ChatGPT during the pre-writing stage. Furthermore, how learners' affective engagement (emotional responses) with this tool in the planning…

The available classifications of self-regulated learners may not be applicable to second or foreign language writing due to the contextual nature of self-regulated learning. This study intended to fill the gap by exploring the profiles of English as a foreign language (EFL) learners' writing self-regulation and their association with…

Emergent writing--the process where young children begin to experiment with written language--is an important contributor to the development of literacy skills. One way for teachers to support the development of writing skills in preschool-aged children is by integrating the Classroom Assessment Scoring System (CLASS) as a framework to foster…

An underexplored question, and one with potentially far-reaching implications for the practice of written corrective feedback (WCF), is whether to mark a wide range of errors (comprehensive feedback) or to focus on a few error types (focused feedback) in learners' L2 writing. Despite limited evidence, it is argued that comprehensive WCF is…

In the past two decades, syntactic complexity measures (e.g. the length or number of words per clause/t-unit/sentences and number of clauses per t-unit/sentence, and types of clauses used) have been widely used to determine and benchmark language proficiency development in speaking and writing. (Norris and Ortega 2009; Lu 2011). However, the…

Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…

Compared to other content areas, there is a dearth of research examining curriculum-based measurement of writing (CBM-W). This study conducted a conceptual replication examining the reliability, stability, and sensitivity to growth of slopes produced from CBM-W. Eighty-nine (N = 89) eighth-grade students responded to one CBM-W probe weekly for 11…

In automated essay scoring (AES), scores are automatically assigned to essays as an alternative to grading by humans. Traditional AES typically relies on handcrafted features, whereas recent studies have proposed AES models based on deep neural networks to obviate the need for feature engineering. Those AES models generally require training on a…

Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…

While much research supports the benefits of computer-mediated collaborative writing (CW) in second language (L2) classrooms, the assessment of CW has received scant attention. This study proposed an assessment scheme considering both the products and processes when assessing online synchronous CW, and explored its effects on learners'…

As integrated writing tasks in large-scale and classroom-based writing assessments have risen in popularity, research studies have increasingly concentrated on providing validity evidence. Given the fact that most of these studies focus on adult second language learners rather than younger ones, this study examined the relationship between written…

With the burgeoning popularity and swift advancements of automated writing evaluation (AWE) systems in language classrooms, scholarly and practical interest in this area has noticeably increased. This systematic review aims to comprehensively investigate current research on three prominent AWE systems: Grammarly, Pigai, and Criterion. Objectives…