ChatGPT has been demonstrated to possess significant capabilities in generating intricate human-like text, and recent studies have established that its performance in theory of mind (ToM) tasks is strikingly comparable to a nine-year-old child's. However, it remains unknown whether ChatGPT outperforms children of this age group in Chinese writing,…

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…

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'…

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…

Comparative Judgement (CJ) is an evaluation method, typically conducted online, whereby a rank order is constructed, and scores calculated, from judges' pairwise comparisons of performances. CJ has been researched in various educational contexts, though only rarely in English as a Foreign Language (EFL) writing settings, and is generally agreed to…

While extensive research exists on peer feedback and its effects on writing, there are few experimental studies that rigorously investigate the effects of guided dialogic peer feedback on students' argumentative writing performance. This study, adopting a mixed-methods approach, examined the influence of guided dialogic peer feedback within a…

Writing comprehensibly, dynamically, and persuasively in a foreign language is a significant challenge for learners. Written communication assesses language and writing progress for various summative and developmental goals. Scenario-based assessment (SBA), as one of the methodologies of classroom-based assessment (CBA), aims to elicit both…

Affective, behavioral, and cognitive engagements play crucial roles in how learners interact with and process written feedback on their language production. The present study examines the efficacy of peer feedback versus ChatGPT-generated feedback in an English as a Foreign Language (EFL) writing context. Participants (n = 169) were 1st-year…

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…

This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…

This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…

This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…

Digital multimodal composing (DMC) has attracted language instructors' and researchers' increasing attention during recent years. Previous studies mainly investigated the students' DMC processes and perceptions, but DMC products are underexamined, and in particular, scarce is research comparing collaborative DMC products and individual DMC…

Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…