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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
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
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
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
Rowe, Luke I.; Hattie, John; Hester, Robert – Cognitive Research: Principles and Implications, 2021
Collective intelligence (CI) is said to manifest in a group's domain general mental ability. It can be measured across a battery of group IQ tests and statistically reduced to a latent factor called the "c-factor." Advocates have found the c-factor predicts group performance better than individual IQ. We test this claim by meta-analyzing…
Descriptors: Intelligence, Intelligence Quotient, Intelligence Differences, Meta Analysis
Shaughnessy, Michael F. – Online Submission, 2021
In this article, the author discusses and reviews the relevant needed aspects of intelligence relative to creativity, the creative process and the creative product. Further, there are elements of personality which also need to be examined. Some suggestions for future research are described.
Descriptors: Creativity, Intelligence, Intelligence Quotient, Intelligence Tests
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
Susana Vargas-Pérez; Carmen Hernández-Martínez; Núria Voltas; Paula Morales-Hidalgo; Josefa Canals; Victoria Arija – International Journal of Early Childhood, 2025
Human breast milk dynamically adapts to meet the needs of healthy neurodevelopment. While a great deal of research has examined the relationship between breastfeeding, infant cognitive development and IQ, findings are inconclusive when potential confounders are adjusted for. This raises questions about the various ways in which breastfeeding and…
Descriptors: Foreign Countries, Preschool Children, Intelligence Quotient, Cognitive Ability
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
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
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
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
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
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
Maja Stanko-Kaczmarek; Lilianna Dera; Halszka Koscielska – Journal of Creative Behavior, 2025
In the rapidly evolving field of artificial intelligence (AI) literature generation, understanding how society perceives AI-generated content, compared with human-produced literature is of paramount importance. This study investigated societal perceptions and biases toward AI-generated versus human-produced poetry. A sample of 123 participants was…
Descriptors: Artificial Intelligence, Creativity, Poetry, Bias

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