In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. "Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide" serves as an indispensable guide for doctoral students and educators on the frontline of this shift,…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…

With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…

In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…

Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…

Large language models such as ChatGPT 3.5, Grammarly, and Copilot, to name a few, are referred to as generated artificial intelligence tools (GenAI). These GenAI tools have gained significant popularity in education since their launch. How can teacher education take advantage of the hype around GenAI tools? These AI-generated tools prompted an…

The purpose of this paper is to study the topic of prompt engineering, which serves as a valuable tool for teachers in creating optimal prompts that effectively enhance students' learning experiences with ChatGPT. This paper explores a variety of strategies related to prompt engineering. These strategies include assigning specific roles to…

Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…

This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…

This study aims to investigate the integration of artificial intelligence, specifically ChatGPT, into the learning process of the I Ching, and its impact on students' understanding and application of this ancient Chinese wisdom in modern management practices. The research adopts a quantitative approach, utilizing surveys to collect data from…

Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…

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…

Data-driven learning (DDL) is an increasingly popular area of research for language teaching and is gradually being incorporated into teacher education programs globally. However, assessing teacher trainees' (self-reported) corpus literacy, and its impact on eventually (and successfully) incorporating corpora into language teaching, is an ongoing…

Despite attempts to discourage the use of machine translation (MT), we have observed that students continue to rely on it. Are teachers powerless? We believe not! Consistent with a range of solutions proposed in previous publications, we hypothesized that a "hands-on" approach would be effective in helping students raise awareness of the…