This study examines the impact of the College, Career, and Community Writers Program (C3WP) on upper-elementary students' first draft writing quality, addressing the challenges teachers face in providing timely and effective feedback on extensive student writing, particularly in spelling, grammar, mechanics, and cohesion. The hypothesis posits…

ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…

This study aims to examine the relationship between the productive knowledge of some lexical and phraseological indices and the quality of English as a Foreign Language (EFL) learners' writing. A sample of 120 expository essays, written by semesters 1 and 5 university students in a less proficient EFL context, are rated by human evaluators and…

Corpus-based studies of lexical bundles have opened new avenues for language teaching research. The fact that naturally occurring language consists of patterns of lexical repetition and multi-word units has given rise to the question of chunkiness in learner language. This study was designed to examine lexical bundles and their functions in a…

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…

In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students' writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner…

This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

Lexical bundles are recurrent multiword combinations and often function as discourse building blocks. Lexical bundles have been analysed in university students' writing to detect linguistic errors, measure writing competence, and investigate the divergence between L1 and L2 writing. Few studies, however, have focused on the high-stakes genre of…

Writing a quality research abstract is crucial for a scholarly report. An abstract should be informational and lexically dense, be formal, and have a professional tone. This requires precision, objectivity, logicality, technicality, and comprehensiveness. However, writing a good research abstract is a hurdle for novice and inexperienced…

Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…

The purpose of this study is to analyze the grammatical complexity features of international teaching assistants' (ITAs) mock-teaching presentations and to compare the distributions of these features to those found in the Oral English Proficiency Test (a local ITA assessment), university classroom teaching, conversation, and academic writing. The…

The purpose of this review is to examine the effects of automated writing evaluation (AWE) feedback on students' English writing performance. We systematically reviewed studies that have empirically focused on this purpose. This review uses several combinations of key words to search in the databases of JSTOR, SSCI, and ERIC for peer-reviewed…

To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…