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Peer reviewed
Direct linkMartschenko, Daphne Oluwaseun – Critical Studies in Education, 2023
This paper utilizes the concept of 'discriminate biopower' to explore how advancements in social and behavioral genomics might inform the racially exclusionary nature of one of the most inequitable and academically coveted environments in American public education: gifted education. In its birth, gifted education became a mechanism for regulating…
Descriptors: Academically Gifted, Gifted Education, Genetics, Equal Education
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Hsu, Yu-Chang; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Generative artificial intelligence (GenAI), such as ChatGPT, has taken the world by storm. ChatGPT attracted 1 million users in 5 days and 100 million users in 2 months since its launch in November 2022. In this first article of a two-part series, we discuss the overall dynamic frontier of GenAI, its potential uses and benefits in education,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits
Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
Florent Vinchon; Todd Lubart; Sabrina Bartolotta; Valentin Gironnay; Marion Botella; Samira Bourgeois-Bougrine; Jean-Marie Burkhardt; Nathalie Bonnardel; Giovanni Emanuele Corazza; Vlad Glaveanu; Michael Hanchett Hanson; Zorana Ivcevic; Maciej Karwowski; James C. Kaufman; Takeshi Okada; Roni Reiter-Palmon; Andrea Gaggioli – Journal of Creative Behavior, 2023
With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human--machine collaboration on creative tasks and proposes "fundamental laws of generative AI" to reinforce the responsible and ethical use of AI in the creativity field. Four…
Descriptors: Artificial Intelligence, Creativity, Man Machine Systems, Ethics
Tianjiao Wang; Xiaona Xia – SAGE Open, 2023
The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the…
Descriptors: Cluster Grouping, Mathematical Models, Artificial Intelligence, Learning Analytics
Lehong Shi – ProQuest LLC, 2023
Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Teacher Role
Pierrette Renee Dagg – ProQuest LLC, 2023
Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…
Descriptors: Artificial Intelligence, Ethics, Philosophy, Technology Uses in Education
Tabarek Al-Tekreeti; Mohammad Al Khasawneh; Ala' Omar Dandis – International Journal of Educational Management, 2024
Purpose: This paper investigates the factors affecting individual dispositions toward intentions. Specifically, this study aims to investigate the effects of emotional intelligence, entrepreneurial motivation and creativity on the entrepreneurial intentions of university students in Jordan. Design/methodology/approach: The data were gathered…
Descriptors: Entrepreneurship, College Students, Foreign Countries, Emotional Intelligence
Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
Marco Giancola; Massimiliano Palmiero; Simonetta D'Amico – Creativity Research Journal, 2024
The current research looks at creativity as a construct resulting from a blend of interacting individual resources and investigates, in a sample of 63 young adults, the extent to which real-world creative production is supported by trait emotional intelligence (EI), through creative thinking, including both divergent thinking (DT) and convergent…
Descriptors: Foreign Countries, Young Adults, Creativity, Emotional Intelligence
Shemona Y. Rozario; Mahbub Sarkar; Melanie K. Farlie; Michelle D. Lazarus – Anatomical Sciences Education, 2024
Anatomical pathology (AP) is an anatomy-centric medical specialty devoted to tissue-based diagnosis of disease. The field faces a current and predicted workforce shortage, likely increasing diagnostic wait times and delaying patient access to urgent treatment. A lack of AP exposure is proposed to preclude recruitment to the field, as medical…
Descriptors: Anatomy, Pathology, Artificial Intelligence, Professional Identity
Moon Fai Chan; Salim Al-Huseini; Mohammed Al-Alawi; Hamed Al Sinawi; Naser Al Balushi; Samir Al-Adawi – Journal of Applied Research in Higher Education, 2024
Purpose: Emotional intelligence (EI) can improve patient-doctor relationships, foster empathy, develop teamwork in the workplace, and boost communication skills. This study aims to determine whether a cohort of residents has different profiles to their demographic and EI. Design/methodology/approach: A cross-sectional survey was conducted in…
Descriptors: Foreign Countries, Emotional Intelligence, Medical Students, Profiles
James Edward Hill; Catherine Harris; Andrew Clegg – Research Synthesis Methods, 2024
Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, accelerating the review process, and enhancing the quality and reliability of extracted data. In this…
Descriptors: Artificial Intelligence, Search Engines, Data Collection, Natural Language Processing
Those Who Gift Only Themselves: An Analysis of Gifted Narcissists as Ultimate Self-Transactionalists
Ophélie A. Desmet; Robert J. Sternberg – Roeper Review, 2024
Researchers have argued that many leaders, such as CEOs and politicians, tend to possess narcissistic traits. At healthy and productive levels, narcissistic traits, such as self-promotion, may actually be an advantage to achieving success in some fields. Yet, few researchers have explored gifted narcissists as a twice-exceptionality. This article…
Descriptors: Academically Gifted, Personality Traits, Intelligence, Gifted
