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Suhao Peng – Innovations in Education and Teaching International, 2025
The purpose of this opinion piece is to explore the potential of ChatGPT as a virtual assistant for transnational educators in the context of Finnish education export. It examines the possibilities and limitations of utilising ChatGPT to support short-term teaching assignments abroad. Utilising Su and Yang's (2023) framework for using ChatGPT in…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Uses in Education, Temporary Employment
Zhang, Weiwen – Online Submission, 2020
Recently Prof. Howard Gardner, an outstanding psychologist in the worldwide accepted the interview from Dr. Weiwen Zhang, and talked about a wide range of MI theory and relevant fields, which mainly involved in its core ideas, current situation and future development, and also involved its application in some current hot issues, which gave us…
Descriptors: Multiple Intelligences, Learning Theories, Misconceptions, Criticism
Daniel Wildcat – Tribal College Journal of American Indian Higher Education, 2024
The following is offered as only one Indigenous person's perspective--a Yuchi Muscogee tribal member's perspective. Several questions about AI emerge when we consider it through an (not the) Indigenous lens. Where is AI's heart and where is its spirit? Does this complex, fast source of intelligence have feelings or emotions? Does machine-generated…
Descriptors: Artificial Intelligence, Indigenous Populations, Cultural Context, Sustainability
Aaron Stoller; Chris Schacht – Education and Culture, 2024
The emergence of Large Language Models has exposed composition studies' long-standing commitment to Cartesian assumptions that position writing as a nonmaterial, distinctly human activity. This paper develops a naturalized theory of composition grounded in Deweyan pragmatic naturalism that dissolves the nature/culture dualism embedded in…
Descriptors: Writing (Composition), Artificial Intelligence, Natural Language Processing, Writing Processes
Nathan Lindberg – Writing Center Journal, 2025
In this essay, I suggest that we should embrace generative artificial intelligence (GenAI) writing tools, particularly chatbots (e.g., ChatGPT, Copilot, Claude), because they can enable linguistic equity by leveling the academic playing field for English as an additional language students. As writing experts, we can find ways to use this…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Complete College America, 2023
In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council…
Descriptors: Artificial Intelligence, Computer Uses in Education, Higher Education, Graduation
Meredith King – Research Issues in Contemporary Education, 2024
This position paper introduces the idea of cognicy, the foundational ability to think and understand in a process that decouples cognitive processes from their tangible outcomes. Generative artificial intelligence (AI) can produce output often nearly indistinguishable from a human product, which presents a problem for educational assessment.…
Descriptors: Cognitive Processes, Artificial Intelligence, Metacognition, Individual Characteristics
Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
Cui, Zhongmin – Educational Measurement: Issues and Practice, 2021
Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…
Descriptors: Artificial Intelligence, Man Machine Systems, Data, Bayesian Statistics
Schneider, W. Joel; Kaufman, Alan S. – International Journal of School & Educational Psychology, 2016
As documented in this special issue, all over the world hard choices must be made in education, government, business, and medicine. Intelligence tests, used intelligently and with appropriate ethical safeguards, are one tool of many that help make hard choices work out well, or at least better than the next-best alternative (Kaufman, Raiford,…
Descriptors: Intelligence Quotient, Artificial Intelligence, Children, Adolescents
OECD Publishing, 2023
Schools are facing increasing demands to prepare students for rapid economic, environmental and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and to solve social problems that have not yet been anticipated. Underpinning the E2030 project is the premise that education needs to do more…
Descriptors: Educational Trends, Trend Analysis, Futures (of Society), Mathematics Education
Demuth, Katherine; Johnson, Mark – First Language, 2020
Exemplar-based learning requires: (1) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (2) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require…
Descriptors: Comparative Analysis, Language Acquisition, Linguistic Theory, Grammar
McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
Brady L. Nash; Merideth Garcia; Carl A. Young; Kristen Hawley Turner; Mary Rice; Amy Piotrowski; W. Ian O’Byrne; Cherise McBride; Ewa McGrail; Clarice Moran; Troy Hicks; William Fassbender; Stefani Boutelier; Donna Alvermann – National Council of Teachers of English, 2024
As English language arts (ELA) teacher educators committed to growing students' passion for reading, writing, and thinking critically, the authors acknowledge the impact that emerging digital technologies have on educational practices. Generative artificial intelligence (GenAI) is one such technology that has sparked both excitement and concern.…
Descriptors: Artificial Intelligence, Teacher Education Programs, English Teachers, Language Arts