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Imogen Casebourne; Shengpeng Shi; Michael Hogan; Wayne Holmes; Tore Hoel; Rupert Wegerif; Li Yuan – International Journal of Artificial Intelligence in Education, 2025
Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solving problems together, Collective Intelligence (CI), is also a valuable outcome of education. Accordingly, our main research question is: How can AI be…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligence, Outcomes of Education
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Nancy S. Choe; Lisa D. Hinz – Art Therapy: Journal of the American Art Therapy Association, 2025
Art generated by artificial intelligence (AI) programs resembling human creative outputs profoundly challenges cultural, social, and psychological conceptions of creativity and its value. Defining creativity within the psychological literature amid the rise of AI poses limitations and highlights the significance of the Expressive Therapies…
Descriptors: Art, Artificial Intelligence, Creativity, Art Therapy
Tingting Li – ProQuest LLC, 2024
This study explores the intersection of human intelligence and Artificial Intelligence (AI) to design knowledge-in-use science assessments for supporting students' deep science learning. In the context of evolving educational paradigms, it seeks to harness AI tools (GPT), to enhance knowledge-in-use assessment design, ensuring equitable…
Descriptors: Artificial Intelligence, Intelligence, Technology Integration, Educational Technology
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Lisa Bradley; Mia Perry; Giovanna Fassetta; Sadie Durkacz Ryan; Elizabeth L. Nelson – Reading Research Quarterly, 2024
Artificial Intelligence (AI) has threatened higher education (HE). In doing so it has granted a portal that makes visible the dominant paradigm that has long defined what "intelligence" is and the narrow set of knowledges and literacies sanctioned for its pursuit. In this paper, we orient our thinking from this clarifying moment, asking:…
Descriptors: Artificial Intelligence, Sustainability, Decolonization, Literacy
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Madhu Prabakaran – Higher Education for the Future, 2025
This article explores the diverse epistemic perspectives on intelligence, tracing its conceptual evolution across early Indian philosophy, Western philosophical thought and contemporary computational theories. Intelligence is examined as a dynamic, multifaceted phenomenon that transcends mere cognition, extending into embodied, ecological and…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Philosophy
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Järvelä, Sanna; Nguyen, Andy; Hadwin, Allyson – British Journal of Educational Technology, 2023
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL…
Descriptors: Artificial Intelligence, Intelligence, Cooperation, Learning Processes
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Yusuf Uzun; Mehmet Kayrici – Journal of Education in Science, Environment and Health, 2025
In this study, which focuses on selecting the material and predicting its mechanical behaviors in materials science, an Artificial Neural Network (ANN) was used to predict and simulate the low-speed impact effects of hybrid nano-doped aramid composites. There are not enough studies about open education practices in this field. Since error values…
Descriptors: Artificial Intelligence, Open Education, Energy, Models
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Julien Boelaert; Samuel Coavoux; Étienne Ollion; Ivaylo Petev; Patrick Präg – Sociological Methods & Research, 2025
Generative artificial intelligence (AI) is increasingly presented as a potential substitute for humans, including as research subjects. However, there is no scientific consensus on how closely these in silico clones can emulate survey respondents. While some defend the use of these "synthetic users," others point toward social biases in…
Descriptors: Artificial Intelligence, Models, Opinions, Surveys
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Nicolae Florian – Acta Didactica Napocensia, 2025
In this paper we will explore an application, made by us, that can generate physics grid tests using artificial intelligence. The application analyzes the response from the large language model in the required format recognized by the application and writes it to a file that will be accepted by the test builder application. The application creates…
Descriptors: Test Construction, Science Tests, Physics, Artificial Intelligence
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Ziyan Yang; Jia Hu; Shaochun Zhong; Lan Yang; Geyong Min – Education and Information Technologies, 2025
Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…
Descriptors: Learning Processes, Artificial Intelligence, Graphs, Concept Mapping
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Angela Faiella; Aleksandra Zielinska; Maciej Karwowski; Giovanni Emanuele Corazza – Journal of Creative Behavior, 2025
The advent of Artificial Intelligence (AI) is reshaping society, highlighting the need to better understand its implications for human creativity. This investigation explores the relationship and differences between people's general creative self-beliefs and their creative self-beliefs in an AI-specific context (i.e., while using AI tools). It…
Descriptors: Creativity, Artificial Intelligence, Creative Thinking, Beliefs
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Margaret Blackie; Kathy Luckett – Science & Education, 2025
In this paper, we begin a conversation with educators invested in developing epistemic insight. We argue that generative artificial intelligence provides an opportunity to make a necessary corrective to our understanding of knowledge and knowledge building. The use of the metaphors of such as 'human-as-machine' has inadvertently promoted a…
Descriptors: Artificial Intelligence, Epistemology, Cognitive Processes, Learning
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Norizan Mat Diah; Syahirul Riza; Suzana Ahmad; Norzilah Musa; Shakirah Hashim – Journal of Education and Learning (EduLearn), 2025
Sudoku is a puzzle that has a unique solution. No matter how many methods are used, the result will always be the same. The player thought that the number of givens or clues, the initial value on the Sudoku puzzles, would significantly determine the difficulty level, which is not necessarily correct. This research uses two search algorithms,…
Descriptors: Puzzles, Artificial Intelligence, Problem Solving, Algorithms
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Philip I. Pavlik Jr.; Luke G. Eglington – International Educational Data Mining Society, 2025
In educational systems, predictive models face significant challenges during initial deployment and when new students begin to use them or when new exercises are added to the system due to a lack of data for making initial inferences, often called the cold start problem. This paper tests logitdec and logitdecevol, "evolutionary" features…
Descriptors: Artificial Intelligence, Models, Prediction, Accuracy
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Deron Boyles – Educational Philosophy and Theory, 2025
How has artificiality been imagined and circumscribed in works of fiction? For this paper, I answer the question by utilizing three of Miguel de Unamuno's early works to explore artificiality and authenticity. From "Amor y pedagogia" ("Love and Pedagogy" [LAP]) to "Del sentimiento trágico de la vida" ("The Tragic…
Descriptors: Educational Philosophy, Inquiry, Artificial Intelligence, Fiction
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