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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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Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
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Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
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Anselm Böhmer; Illie Isso; Ilayda Özcan; Dilara Orhan – International Research and Review, 2025
Given the pervasive influence of generative artificial intelligence (GenAI) platforms, educators are increasingly confronted with novel challenges, particularly in the context of Globally Networked Learning (GNL) and navigating its concomitant cultural perspectives. Consequently, a salient question confronting international higher education is how…
Descriptors: Artificial Intelligence, Global Approach, Networks, Educational Environment
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Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2025
Research has paid less attention to the formalization of education from a systems theory and control perspective, rather than a mere algorithmic one. In this work, the underpinnings of system theory and control are provided, along with a review of their application in education. The review of studies in databases found only seven articles that…
Descriptors: Educational Research, Educational Practices, Systems Approach, Research Problems
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Cansu Cigdem Ekin; Ömer Faruk Cantekin; Elif Polat; Sinan Hopcan – Education and Information Technologies, 2025
Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Trends, Educational Research
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Hannah Waight; Solomon Messing; Anton Shirikov; Margaret E. Roberts; Jonathan Nagler; Jason Greenfield; Megan A. Brown; Kevin Aslett; Joshua A. Tucker – Sociological Methods & Research, 2025
How can one understand the spread of ideas across text data? This is a key measurement problem in sociological inquiry, from the study of how interest groups shape media discourse, to the spread of policy across institutions, to the diffusion of organizational structures and institution themselves. To study how ideas and narratives diffuse across…
Descriptors: Artificial Intelligence, Information Processing, Information Dissemination, News Media
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Daniele Mezzadri – Journal of Academic Ethics, 2025
Using AI as a research assistant promises to provide significant benefits to researchers in terms of time-saving, efficiency, and reduced workload. However, as is well known, AI generated content and outputs are unreliable. Hence human supervision and oversight of the outputs of AI are necessary to perform AI-assisted research ethically. This…
Descriptors: Ethics, Artificial Intelligence, Research Methodology, Supervision
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Alexander F. Tang; Luis Javier Pentón Herrera – Technology in Language Teaching & Learning, 2025
This invited review critically examines the Technological Pedagogical Content Knowledge (TPACK) framework and argues for the integration of Affective Knowledge (AK) as a foundational component in technologically mediated pedagogy. Drawing on recent scholarship in emotional and teacher education, the article identifies a persistent gap in how TPACK…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Emotional Intelligence, Models
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Wan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
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Kadir Kesgin – Discover Education, 2025
The increasing demand for privacy-preserving, ethically aligned synthetic data generation in education has highlighted the limitations of existing tabular data generators. Traditional approaches often sacrifice fairness or privacy in pursuit of predictive accuracy, rendering them unsuitable for high-stakes academic settings. In this paper, we…
Descriptors: Synthesis, Data, Data Science, Data Use
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