This study explores how assessment criteria are applied in grading student work. It is found that explicit assessment criteria do not work as authoritative guidance as expected and that tacit criteria are more decisive in awarding a certain grade. Various sources that form idiosyncratic tacit criteria are identified. These sources, including…

In this study, it was aimed to develop a rubric to evaluate the creative story writing skill levels of seventh grade secondary school students. The research was designed in quantitative research method and survey model. In the research, convenience sampling technique was used and 270 students studying at the seventh grade level of secondary school…

Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…

This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…

This paper addresses the question of how classroom-based peer assessment practices can be improved in relation to student interpretations of subjective assessment criteria. To achieve this, this research study considers the possible pedagogic benefits and implications of using a comparative judgement (CJ) approach to the peer assessment of GCSE…

In fewer than two years, generative artificial intelligence (GenAI) has transformed the educational experience for both students and faculty. Writing feedback and evaluation tools like MyEssayFeedback, EssayGrader, and Markr have been released with the promise that faculty will be able to focus more on teaching than simply grading. However, the…

Ethical considerations have become a central topic in education since artificial intelligence (AI) brought both great innovation and challenges to educational practices and systems. Values influence what we believe is morally right and guide how we behave ethically in different situations. However, there is limited empirical research on improving…

There is considerable research regarding measures of early reading but much less in early writing. Nevertheless, writing is a critical skill for success in school and early difficulties in writing are likely to persist without intervention. A necessary step toward identifying those students who need additional support is the use of screening…

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…