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Sfetcu, Nicolae – Online Submission, 2023
The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…
Descriptors: Models, Emotional Intelligence, Cognitive Ability, Cognitive Processes
Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Guanqiong Zhou – European Journal of Education, 2025
Immersive learning plays a crucial role in effective second language (L2) acquisition, but many learners face limited opportunities to interact with native speakers. While existing research highlights the importance of immersion in L2 learning, there is still a gap in understanding how Generative AI (GenAI) can provide greater access to such…
Descriptors: Second Language Learning, Second Language Instruction, Learner Engagement, Psychological Patterns
Ching-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
Danielle Mattson; Kathryn Kryska; Jacqueline Pei; Claire Coles; Julie Kable; Molly Millians; Gail Andrew; Damien Cormier; Carmen Rasmussen – Canadian Journal of School Psychology, 2024
Math development in children relies on several underlying cognitive functions, including executive functions (EF), working memory (WM), and visual-motor abilities, such as visual-motor integration (VMI). Understanding how these cognitive factors contribute to children's math performance is critical to supporting math learning and long-term math…
Descriptors: Mathematical Aptitude, Children, Neurodevelopmental Disorders, Cognitive Processes
Melody García-Moya; Rocío Blanco – Education and Training in Autism and Developmental Disabilities, 2024
Mathematical problem-solving is a core content of primary school education. Therefore, it is necessary to provide all students with a meaningful way of acquisition of problem-solving skills. The objective of this research was to verify the effectiveness of a problem-solving routine based on the Pólya's model and the use of cognitive strategies…
Descriptors: Arithmetic, Problem Solving, Elementary School Students, Autism Spectrum Disorders
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Khrais, Huthaifah I.; Saleh, Ali M. – International Journal of Learning and Change, 2022
In response to healthcare reform, nursing education needs to expand beyond linear thinking and towards conceptual thinking as patients' needs become more complex. Concept mapping is an interactive visual tool that may encourage many cognitive and emotive processing tasks. The aim of this study was to explore the effectiveness of concept mapping in…
Descriptors: Concept Mapping, Emotional Intelligence, Learning Processes, Health Services
David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
Maria S. Poulou; Pamela Garner – School Psychology International, 2024
The current study examined whether the extent to which students perceived their teachers provided positive support influenced associations between teachers' emotional intelligence and social emotional learning (SEL) beliefs and multiple dimensions of students' other-oriented cognitions (i.e., perspective taking empathetic concern, and prosocial…
Descriptors: Foreign Countries, Teacher Student Relationship, Emotional Intelligence, Social Emotional Learning
Suresh Namboothiri; Thomas Varghese; Mendus Jacob; Sunil Job; Joby Cyriac – Higher Education for the Future, 2025
This research investigates the critical need to integrate affective and psychomotor domains alongside cognitive development in educational systems to achieve the comprehensive 'Exit Outcomes' of Outcome-Based Education (OBE) and align with the National Higher Education Qualification Framework (NHEQF) descriptors. Traditional educational approaches…
Descriptors: Artificial Intelligence, Affective Behavior, Psychomotor Skills, Cognitive Processes