The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

Most, if not all, journals require the use of Large Language Models (LLMs), such as ChatGPT, to be acknowledged. This article argues that current guidelines do not go far enough as the use of an LLM may be acknowledged but the reviewers, and future readers, do not know which parts of the article were generated with AI (Artificial Intelligence)…

The growing demand for microcredentials in education and workforce development necessitates scalable, accurate, and fair assessment systems for both soft and hard skills based on students' lived experience narratives. Existing approaches struggle with the complexities of hierarchical credentialing and the mitigation of algorithmic bias related to…

This case study explores the use of large language models (LLMs) as analytical partners for data exploration and interpretation. Grounded in original research, it navigates the intricacies of using LLMs for uncovering themes from datasets. The study tackles various methodological and practical challenges encountered during the research process…

This study aims to analyze the bibliometric trends of research articles on applying Artificial Intelligence (AI) technology in individuals with Autism Spectrum Disorder (ASD). Within the scope of this study, bibliometric data from 1345 articles published in the Web of Science database between 2014 and 2024 were examined. The analysis revealed a…

Biblical didactics is an important element of confessional religious education. In traditional settings, it is primarily associated with working with the text, alone or in groups, in plenary discussion or pantomime. Nowadays, however, young people are increasingly acquiring their knowledge--including about the Bible--on the Internet, using new…

A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate timely interventions and thereby elevate retention and completion rates. The overarching feature of the majority of these research studies has been on the science of…

Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…

This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…

Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…

This paper presents a thematic review of the anti-plagiarism instruction of content specialists as reported in a range of articles published in the decade of 2014-2023. A total of 28 articles were identified through systematic searching and a ChatGPT-assisted selection process based on a set of inclusion criteria. Specifically, we aimed to include…

The emergence of ChatGPT, and other generative AI (GenAI) tools, has elicited dystopian and utopian proclamations concerning their potential impact on education. This paper suggests that responses to GenAI are based on often-implicit perceptions of naturalness and artificiality. To examine the depiction and function of these concepts, Gideon…

Can metaphorical reasoning involving embodied experience--such as color perception--be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might contribute to the metaphorical understanding of color.…

Generative AI like ChatGPT is transforming education and research rapidly. This study focuses on ethical considerations surrounding ChatGPT in academic research through a comprehensive bibliometric analysis of 245 research articles published between 2019-2024, collected from the Scopus database. The study uncovers a substantial surge in…