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…

This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…

The rapid advancement of generative artificial intelligence (GenAI) presents significant opportunities and challenges for literacy education. While existing research indicates that digital technology integration has enhanced and transformed student writing and creativity in various ways, the advent of GenAI introduces critical questions regarding…

Research into using AI for editing doctoral dissertation work in music education and a subsequent review of literature prompted this collaborative investigation. Specifically, this paper examines ChatGPT-Human collaboration in doctoral dissertation writing and editing through the lens of Martin Buber's (1958) "I-Thou" relation.…

Understanding learners' preferences in educational settings is crucial for optimizing learning outcomes and experience. As artificial intelligence (AI) becomes increasingly integrated into educational contexts, it is crucial to understand learners' preferences between AI and human tutors to support their learning. While AI demonstrates growing…

Background: Psychology instructors frequently assign writing-to-learn exercises that include personal reflection. Generative Artificial Intelligence (GenAI) can write text that passes for humans in other domains. Objective: Do students and faculty rate a reflection written by GenAI differently than reflections written by students? Do students and…

Accompanying the recent rise in cautious popularity surrounding Generative Artificial Intelligence (Gen-AI), some language educators are exploring innovative linguistic interactions with Gen-AI. Seeking to add a literature approximation to such criticism, this article explores two activities that feature Gen-AI in undergraduate literature courses.…

Feedback is crucial in the learning process, yet many students struggle to engage with teacher feedback effectively. This study explores the potential of Generative Artificial Intelligence (gen-AI) to enhance student engagement with feedback in English for Academic Purposes (EAP) writing. Using a mixed-methods approach involving surveys and…

Artificial intelligence (AI) tools are becoming increasingly widespread in EFL classrooms as many applications support students in various aspects of language learning. Consequently, many EFL teachers are adapting to and embracing AI as a practical aid in their teaching. This study investigates Myanmar EFL teachers' perceptions of AI writing…

In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…

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…

Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…

A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…

This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…