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Greenhaw, Laura L.; Denny, Marina D'Abreau – Journal of Leadership Education, 2020
It is common for professionals in technical and science-related careers to interact with colleagues and the general public frequently in their daily work. However, most do not receive any education or practice developing interpersonal skills. Thus, these professionals may struggle to create positive interactions, especially while in leadership…
Descriptors: Leadership Training, 21st Century Skills, Emotional Intelligence, Power Structure
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Goyal, Shashi; Temple, Valerie; Sawanas, Christine; Brown, Dawn – Journal of Intellectual & Developmental Disability, 2020
Background: Interpreting cognitive assessment results for individuals from indigenous communities can be complex. Factors such as culture, language, and education may influence results. Although there is research regarding the cognitive assessment of typically functioning individuals from indigenous communities there is limited information on…
Descriptors: Foreign Countries, Adults, Intellectual Disability, Canada Natives
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Knox, Jeremy; Williamson, Ben; Bayne, Sian – Learning, Media and Technology, 2020
This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Man Machine Systems
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Krueger, Breanna I.; Storkel, Holly L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to examine whether children's identification of misarticulated words as real objects was influenced by an inherent bias toward selecting real objects or whether a change in experimental conditions could impact children's selections. Method: Forty preschool children aged 4 years 0 months to 6 years 11 months…
Descriptors: Preschool Children, Articulation (Speech), Word Recognition, Responses
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McGill, Ryan J. – Psychology in the Schools, 2020
The present study examined the factor structure of the Kaufman assessment battery for children-second edition normative update with normative sample participants aged 7-18 years (N = 500) using confirmatory factor analysis with maximum likelihood estimation and multidimensional scaling procedures. For the 10 subtest Cattell-Horn-Carroll core…
Descriptors: Intelligence Tests, Children, Test Validity, Factor Structure
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Alamargot, Denis; Morin, Marie-France; Simard-Dupuis, Erika – Journal of Learning Disabilities, 2020
Developmental dyslexia is defined as a specific reading disorder but is also thought to be underpinned by a deficit in motor skills that may well affect handwriting performance. However, the results of studies addressing this issue are not consistent. The present study was, therefore, designed to better understand the functioning of handwriting in…
Descriptors: Dyslexia, Handwriting, Writing Skills, Writing Readiness
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Orwig, Marcy Leasum – Business and Professional Communication Quarterly, 2020
Nearly every business communication textbook includes an explanation of "hard" and "soft" skills. Indeed, most business professionals understand the importance of honing interpersonal competencies as well as technical proficiencies. However, measuring the importance of soft skills and how they are used in an organization is…
Descriptors: Personality Traits, Interpersonal Competence, Emotional Intelligence, Communication Skills
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Cui, Ying; Chen, Fu; Shiri, Ali – Information and Learning Sciences, 2020
Purpose: This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances in various courses. The authors focused on examining three practical but important questions: are there a common set of student activity variables that predict student…
Descriptors: Foreign Countries, Identification, At Risk Students, Prediction
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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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