This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…

This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…

Multilingual summative assessments face significant challenges due to tensions that exist between multiple language provision and comparability. Yet, conventional approaches for investigating comparability in multilingual assessments fail to accommodate assessments that comprise extended responses that target complex constructs. This article…

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.…

This study explored students' grammatical, mechanical, and lexical errors in EFL writing. Also, it aimed to investigate the effect of instructor feedback throughout the semester on students' types and frequency of errors in two types of essays, including a process essay and an argumentative essay. This study was conducted on 24 EFL students…

Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

The impact of self- and peer-assessment strategies (assessment as learning) on the development of writing skill of EFL learners is a research area requiring more research studies. The present study aimed to investigate the impact of language assessment literacy enhancement (LALE) on Iranian high school English as Foreign Language (EFL) students'…

Students are often encouraged to proofread their writing by reading it aloud. Presumably, this will allow writers to correct local errors. Yet even though this strategy may be effective for native speakers, there is little empirical evidence of its benefit among second language writers. Therefore, we wondered how many errors second language…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

The current study replicated an earlier investigation by Bouwer and van der Veen (2023) where 10 Grade 5 and 6 classrooms in the Netherlands (210 students) were randomly assigned to a treatment or control condition, with treatment students evidencing improvements in the quality of their essays after practice writing argumentative essays, reading…

Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…

In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…

E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…

In university settings, writing argumentative essays from reading conflicting source texts is a common task for students. In performing this synthesis task, they must deal with conflicting claims about a controversial issue as they develop their own positions. Argumentative synthesis is characterized by writers' back-and-forth moves between…