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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
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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
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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
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Mordechai Gordon – Philosophical Inquiry in Education, 2025
This paper explores some of the perils to American democracy in the age of the Internet, social media, and the filtered bubbles that its citizens inhabit. I open my analysis by revisiting the myth of the Tower of Babel in order to reflect on the insights that can be gleaned for the present state of disinformation. Then I turn to an examination of…
Descriptors: Democracy, Internet, Social Media, Misinformation
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Nadi Suprapto; Nurhasan; Roy Martin Simamora; Ali Mursid; M. Arif Al Ardha – Journal of Academic Ethics, 2025
This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to…
Descriptors: Cheating, Plagiarism, Artificial Intelligence, Integrity
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Karen Paullet; Jamie Pinchot; Evan Kinney; Tyler Stewart – Information Systems Education Journal, 2025
Generative AI tools such as ChatGPT are now in widespread use and are often utilized by students to help in creating writing assignments intended to be written entirely by the student. This has spurred the need for AI detection tools such as GPTZero. This study sought to determine the accuracy of GPTZero's AI detection in identifying whether…
Descriptors: Artificial Intelligence, Writing Assignments, Deception, Program Effectiveness
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Flaviu A. Hodis; Georgeta M. Hodis – Asia Pacific Education Review, 2025
Research findings indicate that two types of goals, which focus on the lowest (highest) levels of achievement possible in a learning setting, are strong predictors of how well students attain in school. Unfortunately, little is known about how these two goals, termed minimal boundary goals (MBG) and maximal levels of aspiration (MLA) relate to…
Descriptors: Secondary School Students, Achievement Need, Goal Orientation, Intelligence
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Segun O. Olatinwo; Carrie Demmans Epp – International Journal of Artificial Intelligence in Education, 2025
Online question answering sites, such as Stack Overflow (SO), have become an important learning and support platform for computer-science learners and practitioners who are seeking help. Learners on SO are currently faced with the problem of unanswered questions, inhibiting their lifelong-learning efforts and contributing to delays in their…
Descriptors: Computer Science, Computer Software, Metadata, Artificial Intelligence
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Nasr Glenn; Glenn Hardaker; Aishah Sabki – International Journal of Information and Learning Technology, 2025
Purpose: The paper explores the alignment of artificial intelligence (AI) with what seems to be a belief that language is a natural growth. We reflect back and look forward on George Orwell and C.S. Lewis, based on commonalities and differences that provide unique insights into the implications of generative AI on language development for…
Descriptors: Artificial Intelligence, Intervention, English, Change
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Sternberg, Robert J.; Karami, Sareh – Journal of Intelligence, 2021
This article introduces a 6P framework for understanding intelligence, as well as the theories and tests that are derived from it. The 6Ps in the framework are purpose, press, problems, persons, processes, and products underlying intelligence. Each of the 6Ps is considered in turn. We argue that although the purpose of intelligence is culturally…
Descriptors: Intelligence, Theories, Models, Intelligence Tests
Joanna Rosak-Szyrocka, Editor; Shashi Kant Gupta, Editor; Muhammad Shahbaz, Editor; Markus A. Launer, Editor – Routledge, Taylor & Francis Group, 2025
"Enhancing Smart Universities with Emotional Intelligence" investigates the successful blending of technology innovations and human beings' emotional intelligence within higher education institutions in the midst of digital transformation. Today's "smart" universities improve student experiences, expedite administrative…
Descriptors: Universities, Electronic Learning, Emotional Intelligence, Technological Literacy
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Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
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Sternberg, Robert J.; Chowkase, Aakash; Parra-Martinez, Fabio Andres; Landy, Jenna – Journal of Intelligence, 2022
Criterion-referenced testing is usually applied to the assessment of achievement. In this article, we suggest how it can also be applied to the assessment of adaptive intelligence, that is, intelligence as adaptation to the environment. In the era of the Anthropocene, we argue that adaptive intelligence is what is most important not only for…
Descriptors: Criterion Referenced Tests, Intelligence Tests, Intelligence, Intelligence Quotient
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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
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Julie Lounds Taylor; Virginia Sullivan; Somer L. Bishop; Shuting Zheng; Ryan E. Adams – Journal of Autism and Developmental Disorders, 2025
Purpose: Social experiences are consistently associated with psychological health among autistic individuals. However, most extant studies on this topic exclude individuals with autism who have lower IQ or are otherwise unable to self-report. The current study addresses this gap by examining associations of negative peer experiences and social…
Descriptors: Social Experience, Interpersonal Competence, Mental Health, Psychological Patterns
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