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Kalervo N. Gulson; Sam Sellar – Journal of Education Policy, 2024
The growing use of artificial intelligence in education extends and intensifies technologies of governing, including datafication, performativity and accountability. In this article, we outline how the use of AI and data science has the disruptive potential to create new norms in education policy and governance. We report on an ethnographic…
Descriptors: Artificial Intelligence, Educational Policy, Governance, Evidence
Gwo-Jen Hwang; Kai-Yu Tang; Yun-Fang Tu – Interactive Learning Environments, 2024
This study provides research-based evidence to profile: (1) the roles of artificial intelligence in nursing; (2) its research applications; and (3) the research trends for future study. On the basis of the PRISMA statement, a series of AI and nursing education related keywords from the literature were used to retrieve high-quality journal articles…
Descriptors: Foreign Countries, Nursing Education, Nursing, Nursing Research
Lucinda McKnight; Cara Shipp – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this paper is to share findings from empirically driven conceptual research into the implications for English teachers of understanding generative AI as a "tool" for writing. Design/methodology/approach: The paper reports early findings from an Australian National Survey of English teachers and interrogates the…
Descriptors: Artificial Intelligence, Writing Strategies, English Instruction, Language Usage
Jill Fenton Taylor; Ivana Crestani – Qualitative Research Journal, 2024
Purpose: This paper aims to explore how an academic researcher and a practitioner experience scepticism for their qualitative research. Design/methodology/approach: The study applies Olt and Teman's new conceptual phenomenological polyethnography (2019) methodology, a hybrid of phenomenology and duoethnography. Findings: For the…
Descriptors: Qualitative Research, Phenomenology, Ethnography, Bias
Chris North; David Hills; Pat Maher; Jelena Farkic; Vinicius Zeilmann; Sue Waite; Takako Takano; Heather Prince; Kirsti Pedersen Gurholt; Nkatha Muthomi; Daniel Njenga; Te Hurinui Karaka-Clarke; Susan Houge Mackenzie; Graham French – Journal of Adventure Education and Outdoor Learning, 2024
This is a composite article which brings together the international perspectives of the editorial board of the Journal of Adventure Education and Outdoor Learning to explore the impacts of artificial intelligence (AI) on the field of adventure education and outdoor learning (AE/OL). Building on the AE/OL profession's response to the impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Adventure Education, Outdoor Education
Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
Yenchun Wu; Marco Fabio Benaglia – International Journal of Science Education, Part B: Communication and Public Engagement, 2024
For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to…
Descriptors: Citizen Participation, Scientific Research, Science Education, Educational Development
Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
Geoffrey Currie; Josie Currie; Sam Anderson; Johnathan Hewis – Health Education Journal, 2024
Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…
Descriptors: Gender Bias, Artificial Intelligence, Computer Software, Medical Education
Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation
Jason Zagami – International Journal on E-Learning, 2024
This mixed methods study investigates the role of AI chatbots in assisting preservice teachers with creating differentiated lesson plans that emphasise student diversity and inclusion within an online learning environment. By conducting a comparative analysis of preservice teachers utilising AI chatbots versus those who did not, the research…
Descriptors: Artificial Intelligence, Preservice Teachers, Preservice Teacher Education, Individualized Instruction
Raj Sandu; Ergun Gide; Mahmoud Elkhodr – Discover Education, 2024
Artificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case study approach complemented by a survey, delving into ChatGPT's impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Foreign Countries
Jingfang Xia; Yao Ge; Zijun Shen; Mudasir Rahman Najar – International Review of Research in Open and Distributed Learning, 2024
Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Linguistics, Psychological Patterns
Kok-Sing Tang; Grant Cooper; Natasha Rappa; Martin Cooper; Craig Sims; Karen Nonis – Pedagogies: An International Journal, 2024
This paper explores the pedagogical potential of Generative Artificial Intelligence (GenAI) in secondary education through a dialogic approach to teaching, learning and assessment. It presents an ongoing action research project in collaboration with a high school in Western Australia, involving four teachers to integrate GenAI in their classrooms.…
Descriptors: Foreign Countries, Artificial Intelligence, Dialogs (Language), Inquiry
Louis Volante; Christopher DeLuca; Nicole Barnes; Menucha Birenbaum; Megan Kimber; Martha Koch; Anne Looney; Jenny Poskitt; Kari Smith; Claire Wyatt-Smith – Policy Futures in Education, 2025
This paper discusses the evolution of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Scholars from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the United States discuss prominent assessment reforms within their respective countries over the last decade.…
Descriptors: Educational Policy, Educational Practices, Pandemics, COVID-19
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