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Adamma Shannon Ugo – ProQuest LLC, 2024
This study was an attempt to fit into the field of education to help leaders and parents further develop an in-depth understanding of the differing ability levels of individuals who have experienced trauma. The purpose of this qualitative case study was to describe the nature of and the influence of trauma on emotional intelligence in children as…
Descriptors: Emotional Intelligence, Trauma, Children, Teacher Attitudes
Ansgar Allen – Research in Education, 2024
This paper takes on and explores the disturbing and perhaps counter-intuitive notion that the university is the place where the intellect goes to die. This idea is explored alongside Georges Bataille's suggestion that the death of thought might actually be a worthy pursuit and only thought which seeks its own limits is worth striving for. The…
Descriptors: Universities, Intelligence, Death, Cognitive Processes
Na Zhang; Jinghan Xu; Xifeng Zhang; Yifang Wang – Education and Information Technologies, 2024
The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…
Descriptors: Robotics, Interaction, Artificial Intelligence, Bibliometrics
Erik M. Francis – Solution Tree, 2024
Quality questions, directed inquiry, and authentic literacy are important tools that enhance students' comprehension, knowledge, and application of what is taught. Learn how to phrase and pose good questions that will ignite inquiring minds and enrich student learning during classroom instruction. Author Erik M. Francis shares a framework for…
Descriptors: Questioning Techniques, Inquiry, Elementary Secondary Education, Artificial Intelligence
Manuel Oliveira; Justus Brands; Judith Mashudi; Baptist Liefooghe; Ruud Hortensius – Cognitive Research: Principles and Implications, 2024
This paper examines how humans judge the capabilities of artificial intelligence (AI) to evaluate human attributes, specifically focusing on two key dimensions of human social evaluation: morality and competence. Furthermore, it investigates the impact of exposure to advanced Large Language Models on these perceptions. In three studies (combined N…
Descriptors: Artificial Intelligence, Moral Values, Competence, Behavior
Lisa Bardach; Aki Schumacher; Ulrich Trautwein; Enkelejda Kasneci; Maike Tibus; Franz Wortha; Peter Gerjets; Tobias Appel – npj Science of Learning, 2024
Intelligence and personality are both key drivers of learning. This study extends prior research on intelligence and personality by adopting a behavioral-process-related eye-tracking approach. We tested 182 adults on fluid intelligence and the Big Five personality traits. Eye-tracking information (gaze patterns) was recorded while participants…
Descriptors: Adults, Intelligence, Personality, Eye Movements
Computational Learning Theory through a New Lens: Scalability, Uncertainty, Practicality, and beyond
Chen Wang – ProQuest LLC, 2024
Computational learning theory studies the design and analysis of learning algorithms, and it is integral to the foundation of machine learning. In the modern era, classical computational learning theory is growingly unable to catch up with new practical demands. In particular, problems arise in the following aspects: i). "scalability":…
Descriptors: Computation, Learning Theories, Algorithms, Artificial Intelligence
Jaan Aru – Journal of Creative Behavior, 2025
Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative process. In particular, the advanced capabilities of AI underscore the importance of studying the internal…
Descriptors: Artificial Intelligence, Creativity, Creative Thinking, Neurology
Devkan Kaleci – Journal of Educational Technology and Online Learning, 2025
The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents a systematic methodology for integrating AI technologies into the Moodle LMS. Moodle 4.5 was selected as…
Descriptors: Artificial Intelligence, Learning Management Systems, Educational Technology, Technology Integration
Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
Andres Felipe Zambrano; Shreya Singhal; Maciej Pankiewicz; Ryan Shaun Baker; Chelsea Porter; Xiner Liu – Information and Learning Sciences, 2025
Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…
Descriptors: Artificial Intelligence, Identification, Privacy, Information Security
Dylan Davidson; Samantha L. Pugh – New Directions in the Teaching of Natural Sciences, 2025
Generative Artificial Intelligence (GenAI) is an emerging technology that creates relevant text, images and other content from prompts. Large Language models (LLMs) are the most widely used of these GenAI forms. This technology already has applications in business and education. This paper tests GenAI's ability to apply physics to global problems…
Descriptors: Artificial Intelligence, Physics, Problem Solving, World Problems
Bin Tan; Nour Armoush; Elisabetta Mazzullo; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2025
This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…
Descriptors: Artificial Intelligence, Test Items, Automation, Test Format
Prad Kadambi; Tristan J. Mahr; Katherine C. Hustad; Visar Berisha – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade alignment. Current tools do not support direct training on manual alignments. Thus, a trainable…
Descriptors: Phonetics, Speech, Young Children, Phonemes
Shushanta Pudasaini; Luis Miralles-Pechuán; David Lillis; Marisa Llorens Salvador – Journal of Academic Ethics, 2025
A survey conducted in 2023 surveyed 3,017 high school and college students. It found that almost one-third of them confessed to using ChatGPT for assistance with their homework. The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has led to a surge in academic misconduct. Students can now complete their assignments and exams just…
Descriptors: High School Students, College Students, Artificial Intelligence, Cheating

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