Evaluative language is crucial in English for Academic Purposes (EAP) writing, particularly in expressing authorial stance and supporting arguments. Among various linguistic frameworks, appraisal in Systemic Functional Linguistics (SFL) has been extensively used to map and assess evaluative linguistic features. Since its inception in the early…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…

Assessing students' writing skills is at the heart of teachers' work in the English department studies of Moroccan universities. However, research has predominantly focused on student outcomes instead of paying close attention to investigate, assess, and quantify teachers' writing assessment literacy. Against this background, the purpose of this…

This study explores the use of large language models (LLMs) to generate feedback on essay-type assignments in Higher Education. Drawing on a seminal feedback framework, it examines the pedagogical and psychological effectiveness of LLM-generated feedback across three cohorts of MBA, MSc, and undergraduate students. Methods included linguistic…

Mathematical communication, encompassing writing in, about, and for mathematics, is a critical competency. Defining excellent mathematical writing standards, however, remains challenging. To address this, we conducted a systematic review of 48 scholarly works on quality in mathematical writing. Our findings reveal mathematical writing for…

The widespread adoption of generative AI is transforming academic writing in higher education, rendering traditional, product-focused assessment models obsolete. These methods fail to capture the iterative and tool-mediated nature of modern writing processes, creating an urgent need for new evaluation approaches. This paper addresses this gap by…

Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…

Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…

In this article, we describe the process of revising our writing program's teaching observation forms and processes over the last several years, drawing from descriptions of best practices in conducting teaching observations in writing programs (Comer; Jackson). We analyze the teaching observation form as it functions in a structurational nexus to…

This study examined Chinese EFL researchers' English abstract writing in language education. Using open-ended questionnaires, it first investigated 24 Chinese EFL researchers' perceptions of their challenges in writing English abstracts. Using generalizability theory and follow-up interviews, it then invited 16 experienced English journal…

From a positive psychology perspective, this case study explores learners' academic emotions in giving and receiving peer feedback on second language writing and the possible influences of emotions on learners' uptake of peer feedback. The data were collected from five undergraduates at a Chinese university, including semi-structured interviews,…

To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different…

The demands of learning in the twenty-first century require being skilled in the use and comprehension of multiple documents. Some individual factors such as the metacognitive skill of theory of mind (ToM) are related to this ability. This study investigated the relationship between university students' ability to comprehend multiple documents,…