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Paul Deane; Duanli Yan; Katherine Castellano; Yigal Attali; Michelle Lamar; Mo Zhang; Ian Blood; James V. Bruno; Chen Li; Wenju Cui; Chunyi Ruan; Colleen Appel; Kofi James; Rodolfo Long; Farah Qureshi – ETS Research Report Series, 2024
This paper presents a multidimensional model of variation in writing quality, register, and genre in student essays, trained and tested via confirmatory factor analysis of 1.37 million essay submissions to ETS' digital writing service, Criterion®. The model was also validated with several other corpora, which indicated that it provides a…
Descriptors: Writing (Composition), Essays, Models, Elementary School Students
Lashaunda M. Terry-Johnson – ProQuest LLC, 2024
This study aimed to investigate the correlation between the emotional intelligence (EI) of K-12 school principals with student outcomes that included: student achievement, student growth, and student attendance. The participants in this student included principals form various schools in the state of Tennessee. The data from this mixed method…
Descriptors: Principals, Elementary Secondary Education, Emotional Intelligence, Elementary School Students
Catherine Malcolm Edwards; Jessie Gunnell; Vicente Del Solar; David Phipps; Jeffrey Edwards – Journal of Research Administration, 2024
This collaborative and reflective inquiry-based paper critically examines accessibility within the research realm. We focus this inquiry on the principles of equity, diversity and inclusion and specifically address the challenges of establishing accessibility as part of the research enterprise. We acknowledge and reflect on the pivotal role…
Descriptors: Accessibility (for Disabled), Equal Education, Diversity, Inclusion
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
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
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
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
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
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
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
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
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
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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