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Unggi Lee; Ariel Han; Jeongjin Lee; Eunseo Lee; Jiwon Kim; Hyeoncheol Kim; Cheolil Lim – Education and Information Technologies, 2024
The rapid advancements in artificial intelligence (AI) have transformed various domains, including education. Generative AI models have garnered significant attention for their potential in educational settings, but image-generative AI models need to be more utilized. This study explores the potential of integrating generative AI, specifically…
Descriptors: Artificial Intelligence, Art Education, STEM Education, Learning Analytics
Megan Kathleen Neel – ProQuest LLC, 2024
The purpose of this quantitative correlational-predictive study was to determine if and to what extent Online Full Time Faculty's (OFTF) Emotional Intelligence (EI) Self-Perception, Self-Expression, Interpersonal, Decision Making, and Stress Management, individually and combined, predicted Online Student Success in an online higher education…
Descriptors: College Faculty, Online Courses, Emotional Intelligence, Self Concept
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Shi-huan Wang; Qing Zhou; Kai-yun Chen; Chao-qun Ceng; Guo-dong Zhan; Cong You; Yu Xing; Yuan-yuan Zou; Hong-zhu Deng – Journal of Autism and Developmental Disorders, 2024
This study aimed to investigate the gap between adaptive functioning and cognitive functioning, especially verbal and nonverbal intelligence quotient (IQ) in Chinese children with ASD. We systematically explored cognitive functioning, ASD severity, early signs of developmental abnormalities, and socioeconomic factors as mediating factors of…
Descriptors: Preschool Children, Autism Spectrum Disorders, Foreign Countries, Intelligence Quotient
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Aneta Stolba; Ashley Hope; Jessie Branch; Prerana Manoj; Jessica Trinier; Atefeh Behboudi; Roland vanOostveen; Elizabeth Childs – International Journal of Educational Technology in Higher Education, 2024
The onset of the pandemic catalyzed a paradigm shift in educational methodologies, bringing various forms, such as hybrid, distance, and fully online models, into focus. The following study explores the affective domain in online learning, focusing on how emotions, facial expressions, and body language influence engagement and support community…
Descriptors: Emotional Intelligence, Online Courses, Affective Behavior, Emotional Response
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Torsten Hammann; Jakob Valic; Gašper Slapnicar; Mitja Luštrek – International Journal of Developmental Disabilities, 2024
Introduction: The preferences of people with profound intellectual and multiple disabilities (PIMD) often remain unfulfilled since it stays challenging to decode their idiosyncratic behavior resulting in a negative impact on their quality of life (QoL). Physiological data (i.e. heart rate (variability) and motion data) might be the missing piece…
Descriptors: Psychological Patterns, Intellectual Disability, Comorbidity, Severe Intellectual Disability
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Selahattin Alan; Eyup Yurt – International Journal of Modern Education Studies, 2024
The limitations of traditional education models and the advancement of technology have revealed the need to transform the learning experience. The "Flipped Learning" approach, born out of this need, is a model where students study learning materials in advance and participate in more interactive and hands-on activities in the classroom.…
Descriptors: Flipped Classroom, Natural Language Processing, Artificial Intelligence, Educational Innovation
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Bruce A. Craft – Research Issues in Contemporary Education, 2024
This paper addresses the pedagogical implications of incorporating ChatGPT into the college English classroom specifically and, more broadly, into any college course with a focus on writing and research. Historically, advances in technology in the college classroom have characteristically promoted two juxtaposed reactions: relief and anxiety.…
Descriptors: Artificial Intelligence, Natural Language Processing, English Instruction, Writing Instruction
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Megan Lowe – Research Issues in Contemporary Education, 2024
The release of ChatGPT and other Artificial Intelligence (AI) tools has raised significant and challenging questions around the ethics of artificial intelligence in higher education. The initial concerns regarding AI in higher education centered on academic integrity, and the literature reflects this initial response. However, the multifaceted…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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Surbhi Seema Sethi; Kanishk Jain – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings. Design/methodology/approach: A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Social Emotional Learning, Educational Technology
Jennifer Roble – ProQuest LLC, 2024
This study examines the impact of Generative Artificial Intelligence (GAI) on teacher workload, burnout, and well-being at a large K-12 independent school in Hawaii. The research focused on teachers identified as innovators and early adopters to understand their experiences with GAI. A qualitative, phenomenological design was employed, using…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teaching Load, Artificial Intelligence
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Arifi N. Waked; Hanadi Abdelsalem; Muhammad Waqar Ashraf; Maura Pilotti; Khadija El Alaoui – International Society for Technology, Education, and Science, 2024
Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best…
Descriptors: Artificial Intelligence, Writing Tests, Plagiarism, Accuracy
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Or Goren; Liron Cohen; Amir Rubinstein – International Educational Data Mining Society, 2024
The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…
Descriptors: Dropout Characteristics, Prediction, Potential Dropouts, Student Characteristics
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Reham Salhab – Online Learning, 2024
Artificial Intelligence (AI) is increasingly prevalent, permeating various aspects of and spreading across education. However, a comprehensive understanding of AI applications and how to define AI literacy is under-investigated. On this note, teaching and evaluating AI literacy necessitates educators to integrate it into course content. The…
Descriptors: Artificial Intelligence, Multiple Literacies, College Faculty, Higher Education
Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
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Viezel, Kathleen D.; Freer, Benjamin; Morgan, Chelsea D. – Focus on Autism and Other Developmental Disabilities, 2022
As an increasing number of individuals with autism spectrum disorder (ASD) matriculate on college campuses, all stakeholders should be prepared to meet their needs. Despite a body of literature describing adaptive behavior deficits of individuals with ASD, there is a paucity of research examining these skills among those who are college-ready. The…
Descriptors: Autism, Pervasive Developmental Disorders, Student Adjustment, College Freshmen
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