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Craig, Emory; Georgieva, Maya – Current Issues in Education, 2020
Spatial computing is the fourth paradigm of the digital revolution and could profoundly transform learning. It is the convergence of several technological developments, including Augmented and Virtual Reality (XR), Artificial Intelligence, haptic feedback, motion-capture, and situational awareness engines. This article explores how the shift from…
Descriptors: Computer Simulation, Simulated Environment, Artificial Intelligence, Assistive Technology
Singh, Delar K. – Online Submission, 2020
In today's milieu of school shootings, unprecedented rates of attempted suicide, drug addictions, escalating drop-out rates, teen age pregnancy, and behavior disorders, we propose that future teachers be trained in the delivery and maintenance of social-emotional learning. This presentation urges teacher educators to prepare future teachers for…
Descriptors: Social Emotional Learning, Teacher Education Programs, Teacher Competencies, Preservice Teacher Education
Mun, Rachel U.; Hemmler, Vonna; Langley, Susan Dulong; Ware, Sharon; Gubbins, E. Jean; Callahan, Carolyn M.; McCoach, D. Betsy; Siegle, Del – Grantee Submission, 2020
The underrepresentation of English learners (ELs) in gifted and talented programs is a societal and research problem that merits investigation. Three state departments of education and their state directors of gifted programs supported our access to 16 schools across nine districts. In these three states with gifted identification and programming…
Descriptors: English Language Learners, Academically Gifted, Talent Identification, Gifted Education
Shafee Mohammed – ProQuest LLC, 2020
Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…
Descriptors: Prediction, Short Term Memory, Blended Learning, Student Behavior
Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger – Grantee Submission, 2020
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Simulation
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Roeper, George A.; Ruff, Marcia – Roeper Review, 2016
Creativity was an enduring interest for George Roeper. For him, gifted children represented the divergent thinkers who could change the trajectory of the world. In this 1962 presentation to parents at the school, he discussed his findings about the differences between intelligence and creativity--how they overlap, how they differ, and how they are…
Descriptors: Creativity, Intelligence, Gifted, Early Childhood Education
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Mouga, Susana; Café, Cátia; Almeida, Joana; Marques, Carla; Duque, Frederico; Oliveira, Guiomar – Journal of Autism and Developmental Disorders, 2016
The influence of specific autism spectrum disorder (ASD) deficits in Intelligence Quotients (IQ), Indexes and subtests from the Wechsler Intelligence Scale for Children-III was investigated in 445 school-aged children: ASD (N = 224) and other neurodevelopmental disorders (N = 221), matched by Full-Scale IQ and chronological age. ASD have lower…
Descriptors: Autism, Pervasive Developmental Disorders, Scores, Intelligence Quotient
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Giménez-Dasí, Marta; Quintanilla, Laura; Lucas-Molina, Beatriz – Early Education and Development, 2018
The basic aspects of emotional comprehension seem to be acquired around the age of 5. However, it is not clear whether children's emotion knowledge is based on facial expression, organized in scripts, or determined by sociocultural context. This study aims to shed some light on these subjects by assessing knowledge of basic emotions in 4- and…
Descriptors: Foreign Countries, Preschool Children, Minority Group Children, Ethnic Groups
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Stamatopoulou, Maria; Galanis, Petros; Tzavella, Foteini; Petrides, K. V.; Prezerakos, Panagiotis – Journal of Psychoeducational Assessment, 2018
This article aims to investigate the reliability and validity of the Trait Emotional Intelligence Questionnaire-Adolescent Short Form (TEIQue-ASF) score in a sample of 440 Greek adolescents. The instrument's score demonstrated good internal consistency and was significantly correlated with core self-evaluations as well with somatic complaints,…
Descriptors: Psychometrics, Emotional Intelligence, Questionnaires, Adolescent Attitudes
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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
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Parmentier, Michaël; Pirsoul, Thomas; Nils, Frédéric – Journal of Career Development, 2022
This study used a person-centered approach to investigate university students' profiles of career adaptability and determine whether different combinations of concern, control, curiosity, and confidence could be identified. We also explored the relations of these profiles with emotional intelligence, anticipatory emotions, and career…
Descriptors: Foreign Countries, Decision Making Skills, Vocational Adjustment, Personality Traits
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Tlili, Ahmed; Huang, Ronghuai; Shehata, Boulus; Liu, Dejian; Zhao, Jialu; Metwally, Ahmed Hosny Saleh; Wang, Huanhuan; Denden, Mouna; Bozkurt, Aras; Lee, Lik-Hang; Beyoglu, Dogus; Altinay, Fahriye; Sharma, Ramesh C.; Altinay, Zehra; Li, Zhisheng; Liu, Jiahao; Ahmad, Faizan; Hu, Ying; Salha, Soheil; Abed, Mourad; Burgos, Daniel – Smart Learning Environments, 2022
The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it as Meta. While several studies conducted literature reviews to summarize the findings related to the Metaverse in general, no study to the…
Descriptors: Computer Simulation, Technology Uses in Education, Artificial Intelligence, Educational Benefits
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Nazaretsky, Tanya; Ariely, Moriah; Cukurova, Mutlu; Alexandron, Giora – British Journal of Educational Technology, 2022
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI-specific misconceptions, myths and fears (e.g., mass unemployment and privacy…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Trust (Psychology)
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Gray, Shelley I.; Levy, Roy; Alt, Mary; Hogan, Tiffany P.; Cowan, Nelson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of this study was to use an established model of working memory in children to predict an established model of word learning to determine whether working memory explained word learning variance over and above the contributions of expressive vocabulary and nonverbal IQ. Method: One hundred sixty-seven English-speaking second…
Descriptors: Short Term Memory, Vocabulary, Expressive Language, Intelligence
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Algozhina, Anar; Sabirova, Raikhan; Alimbayeva, Roza; Kapbasova, Gulzada; Sarmantayev, Ayan – Journal of Applied Research in Higher Education, 2022
Purpose: The emotional intelligence (EI) model is widely used in pedagogy, management and other spheres as a useful concept with great potential for application. At the same time, there are significant differences in the traits of EI in different social groups, in particular, in different countries, which are just beginning to be studied. To date,…
Descriptors: Higher Education, College Faculty, Emotional Intelligence, Teaching Methods
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