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Robert J. Sternberg; Arezoo Soleimani Dashtaki – Gifted Education International, 2025
This article introduces the concept of effectivity, which is the power to be effective or to achieve a certain effect to accomplish one's goals, in this case, desired school or life achievement. Giftedness would be better defined and developed in terms of effectivity than in terms of various concepts of ability. The concept of effectivity hinges…
Descriptors: Academically Gifted, Overachievement, Underachievement, Academic Ability
Bernard J. Koch; Tim Sainburg; Pablo Geraldo Bastías; Song Jiang; Yizhou Sun; Jacob G. Foster – Sociological Methods & Research, 2025
This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…
Descriptors: Artificial Intelligence, Statistical Inference, Causal Models, Social Science Research
Fengjuan Wang; Azilawati Jamaludin; Aik Lim Tan – Learning: Research and Practice, 2025
The neurocognitive mechanisms underlying prevalent learning disorders, such as dyslexia, dyscalculia, and their comorbidity, remain unclear and are the subject of ongoing debate. The core-deficit hypothesis has long been the dominant theory explaining these mechanisms across various learning disorders. However, this hypothesis faces criticism for…
Descriptors: Dyslexia, Learning Disabilities, Artificial Intelligence, Computer Simulation
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Hongwen Guo; Matthew S. Johnson; Luis Saldivia; Michelle Worthington; Kadriye Ercikan – ETS Research Institute, 2025
ETS scientists developed a human-centered AI (HAI) framework that combines data on how students interact with assessments--such as task navigation and time spent--with their performance, providing deeper insights into student performance in large-scale assessments.
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Measurement
Christopher Adamson – New Directions for Teaching and Learning, 2025
This chapter responds to the recent crisis surrounding developments in large language models (LLMs) and generative AI with a relational view of education informed by the emerging world-centered approach to education and a synthesis of personalist character formation with feminist care ethics. It proposes that the instinct to manage student use of…
Descriptors: Artificial Intelligence, Natural Language Processing, Automation, Feminism
Francisco Olivos; Minhui Liu – Field Methods, 2025
The rapid advancements in generative artificial intelligence have opened new avenues for enhancing various aspects of research, including the design and evaluation of survey questionnaires. However, the recent pioneering applications have not considered questionnaire pretesting. This article explores the use of GPT models as a useful tool for…
Descriptors: Artificial Intelligence, Questionnaires, Test Construction, Pretesting
Josh Ecker; Greg Eckert; Erin Cummings – Journal of Advanced Academics, 2025
This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key…
Descriptors: Gifted Education, Artificial Intelligence, Tutoring, Technology Integration
Jiun-Yu Wu; Yuan-Hsuan Lee; Ching Sing Chai; Chin-Chung Tsai – Educational Researcher, 2025
This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai's (2004) work to explore the…
Descriptors: Artificial Intelligence, Personal Autonomy, Epistemology, Interaction
Charles Dorr; Sheena Asthana; Julian Elston; Felix Gradinger; Daniel Preece; David Schwartz; Gemma Scott; Gary Wallace; Ruth Harrell – Teaching Public Administration, 2025
Appreciative inquiry has become increasingly popular as a method for facilitating organisational or systemic change through focusing on the positive aspects and 'life giving properties of a system' as opposed to traditional 'deficit-based' approaches. However, there has been criticism that this process could invalidate negative experiences of…
Descriptors: Inquiry, Systems Approach, Organizational Change, Learning Processes
T. Philip Nichols; Charles Logan; Antero Garcia – Learning, Media and Technology, 2025
This article examines the historical and contemporary mobilizations of 'Luddism' as a mode of resistance to technological inevitability, particularly in response to the integration of generative AI into education. Tracing three historical 'waves' of Luddism -- the original nineteenth century machine-breakers, the Neo-Luddites of the late twentieth…
Descriptors: Artificial Intelligence, Technology Uses in Education, History, Technological Advancement
Mohammad Hosseini; David B. Resnik – Research Ethics, 2025
Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…
Descriptors: Artificial Intelligence, Plagiarism, Writing for Publication, Periodicals
Vagelis Plevris – Journal of Civil Engineering Education, 2025
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Uses in Education
Chantelle Gray – Educational Philosophy and Theory, 2025
In contemporary societies, the processes of transindividuation by which knowledges are transformed into cycles and rhythms of metastability have been dramatically short-circuited. In turn, this has provoked the spiritual misery and pseudo-fabulations so prevalent all around us, including our educational contexts. For Stiegler, this is nothing…
Descriptors: Educational Philosophy, Electronic Learning, Automation, Educational Theories
Alexander M. Sidorkin – Educational Theory, 2025
The debate over halting artificial intelligence (AI) development stems from fears of malicious exploitation and potential emergence of destructive autonomous AI. While acknowledging the former concern, this paper argues the latter is exaggerated. True AI autonomy requires education inherently tied to ethics, making fully autonomous AI potentially…
Descriptors: Artificial Intelligence, Criticism, Ethics, Safety

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