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Martin Sigot; Sebastian Tassoti – Journal of Chemical Education, 2025
With the emergence of generative artificial intelligence (GenAI) and ChatGPT, individualization of learning pathways was discussed in the educational context. One way to achieve customization is the use of specialized versions of ChatGPT--so-called GPTs. Those GPTs are publicly available and used daily by thousands of people worldwide. In this…
Descriptors: Artificial Intelligence, Chemistry, Computer Uses in Education, Science Education
Steven Van Zost – Journal of Teaching and Learning, 2025
Artificial intelligence (AI) transforms the ethical and moral subjectivity of teachers, positioning them to navigate the complex convergence of technological advancement, intellectual autonomy, and teacher identity. The purpose of this paper is to offer a conceptual model for how teachers' identities are constituted through AI prompt engineering.…
Descriptors: Artificial Intelligence, Professional Identity, Teachers, Computer Uses in Education
Jeremy Dennis – i.e.: inquiry in education, 2025
Scholars and practitioners seldom consider pedagogy as a starting point in their appreciations of the role of leadership in education. However, the rise of invisible pedagogies may warrant a revaluation of this practice. Invisible pedagogies are enabled by cloud-based learning management platforms and their data-driven algorithms and protocols,…
Descriptors: Instructional Leadership, Instruction, Computer Uses in Education, Influence of Technology
Sophia Mavridi – Technology in Language Teaching & Learning, 2025
This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…
Descriptors: Artificial Intelligence, Classification, Responses, Language Teachers
Lily Lucas Hodges – History Teacher, 2025
A standard learning outcome for students in humanities courses, from middle school into higher education, is to craft clear, specific arguments based on evidence. A common assignment to develop and assess this learning outcome is the take-home essay. Generative AI models, such as ChatGPT, Copilot, and Grammarly, are quickly able to generate such…
Descriptors: Artificial Intelligence, Essays, Computer Uses in Education, History Instruction
Yanyi Wu – Anatomical Sciences Education, 2025
The increasing adoption of advanced simulation technologies (virtual reality, augmented reality, sophisticated mannequins) in anatomical science education offers undeniable pedagogical advantages, including safe practice environments and enhanced visualization of complex structures. This article explores the simulation paradox, arguing that the…
Descriptors: Anatomy, Computer Simulation, Computer Uses in Education, Visualization
Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
Ekaterina Tour; Artem Zadorozhnyy – Journal of Adolescent & Adult Literacy, 2025
Recent developments in Generative Artificial Intelligence (GenAI) technologies have had significant implications for English language education worldwide, opening up new opportunities and challenges. Both researchers and practitioners are increasingly exploring the necessary capabilities that English language learners should possess in relation to…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Computer Uses in Education
Darius Hennekeuser; Daryoush Daniel Vaziri; David Golchinfar; Dirk Schreiber; Gunnar Stevens – International Journal of Artificial Intelligence in Education, 2025
Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…
Descriptors: Lecture Method, College Instruction, Higher Education, College Faculty
Perrotta, Carlo; Gulson, Kalervo N.; Williamson, Ben; Witzenberger, Kevin – Critical Studies in Education, 2021
Digital platforms have become central to interaction and participation in contemporary societies. New forms of 'platformized education' are rapidly proliferating across education systems, bringing logics of datafication, automation, surveillance, and interoperability into digitally mediated pedagogies. This article presents a conceptual framework…
Descriptors: Computer Uses in Education, Automation, Instruction, Participation
Hagge, Patrick D. – Geography Teacher, 2023
The role of geographic information systems (GIS) in education is vital. Geospatial skills have been shown to correlate with improved performance of general spatial thinking (Lee and Bednarz 2009) as well as specific geography-related content (Hall-Wallace and McAuliffe 2002). As students are exposed to more GIS, they gain skills that are desired…
Descriptors: Geography Instruction, Cartography, Lecture Method, Conventional Instruction
Tyler G. Harvey; Delphine Dean – Biomedical Engineering Education, 2025
Challenge: While hands-on laboratory experiences are an important component of biomedical engineering curricula, many of the topics which would often benefit most from these experiences are often too time-, space-, and resource-intensive to incorporate into laboratory classes. One such topic is electrophysiology, where phenomena are hard to…
Descriptors: Discovery Learning, Computer Uses in Education, Computer Simulation, Hands on Science
Farrow, Robert – Learning, Media and Technology, 2023
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…
Descriptors: Artificial Intelligence, Algorithms, Computer Uses in Education, Language Usage
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
R. A. Paggi; M. C. Ferrari; M. Cerletti; M. I. Giménez; T. S. Schwarz; A. Marchfelder; R. E. De Castro – Biochemistry and Molecular Biology Education, 2025
Perturbation of gene expression using RNA interference (RNAi) or CRISPR interference (CRISPRi) is a useful strategy to explore the function of essential genes. In the archaeon "Haloferax volcanii," the CRISPR-Cas system has been adapted as a CRISPRi tool to silence the expression of specific genes. We developed a laboratory class (LC) to…
Descriptors: Undergraduate Students, Laboratory Experiments, Science Instruction, Biochemistry

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