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Yoshii, Ryo – International Journal of Inclusive Education, 2016
In the late nineteenth and early twentieth centuries, American psychologists began addressing problems related to the intellectual capacity of students enrolled in public schools. This paper focuses on the role and influence of psychologists in addressing these problems, specifically the difficulty of classifying students deemed feeble-minded and…
Descriptors: United States History, Public Schools, Intelligence, Intelligence Tests
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Koolschijn, P. Cédric M. P.; Geurts, Hilde M. – Journal of Autism and Developmental Disorders, 2016
It is widely acknowledged that the brain anatomy of children and adolescents with autism spectrum disorder (ASD) shows a different developmental pattern then typical age-matched peers. There is however, a paucity of studies examining gray matter in mid and late adulthood in ASD. In this cross-sectional neuroimaging study, we, performed vertex-wise…
Descriptors: Adults, Older Adults, Pervasive Developmental Disorders, Case Studies
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Nye, Benjamin D. – International Journal of Artificial Intelligence in Education, 2016
Advanced learning technologies are reaching a new phase of their evolution where they are finally entering mainstream educational contexts, with persistent user bases. However, as AIED scales, it will need to follow recent trends in service-oriented and ubiquitous computing: breaking AIED platforms into distinct services that can be composed for…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Integrated Learning Systems
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Dorça, Fabiano A.; Araújo, Rafael D.; de Carvalho, Vitor C.; Resende, Daniel T.; Cattelan, Renan G. – Informatics in Education, 2016
Content personalization in educational systems is an increasing research area. Studies show that students tend to have better performances when the content is customized according to his/her preferences. One important aspect of students particularities is how they prefer to learn. In this context, students learning styles should be considered, due…
Descriptors: Resource Units, Cognitive Style, Automation, Individualized Instruction
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Cox, Richard; Brna, Paul – International Journal of Artificial Intelligence in Education, 2016
We reflect upon a paper we wrote that was published in 1995 (20 years ago). We outline the motivation for the work and situate it in the state of the art at that time. We suggest that a key contribution was to highlight the need to provide support for learners who reason with external representations. The support must be flexible enough to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Problem Solving, Cognitive Processes
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Chen, Jing; Fife, James H.; Bejar, Isaac I.; Rupp, André A. – ETS Research Report Series, 2016
The "e-rater"® automated scoring engine used at Educational Testing Service (ETS) scores the writing quality of essays. In the current practice, e-rater scores are generated via a multiple linear regression (MLR) model as a linear combination of various features evaluated for each essay and human scores as the outcome variable. This…
Descriptors: Scoring, Models, Artificial Intelligence, Automation
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Murray, Aja L.; McKenzie, Karen; Murray, George C. – Journal of Intellectual & Developmental Disability, 2016
Background: There has been only limited research into the psychometric properties of short-form intellectual assessments when used with children who may have an intellectual disability (ID). The aim of this study was to evaluate an 8-subtest short form of the Wechsler Intelligence Scale for Children -- Fourth Edition (WISC-IV) in children assessed…
Descriptors: Children, Intellectual Disability, Intelligence Tests, Disability Identification
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Sharma, Arjun; Biswas, Arijit; Gandhi, Ankit; Patil, Sonal; Deshmukh, Om – International Educational Data Mining Society, 2016
Online educational videos have emerged as one of the most popular modes of learning in the recent years. Studies have shown that liveliness is highly correlated to engagement in educational videos. While previous work has focused on feature engineering to estimate liveliness and that too using only the acoustic information, in this paper we…
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Prediction
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Chrysafiadi, Konstantina; Troussas, Christos; Virvou, Maria – International Journal of Learning Technology, 2022
This paper addresses the interesting issue of mobile-assisted language learning using novel techniques for further improving the adaptivity and personalisation to students. The domain model of the system includes English and French language concepts, and its user model holds information about students and their progress. It also embodies a…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), French
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Wang, Si; Andrews, Glenda; Pendergast, Donna; Neumann, David; Chen, Yulu; Shum, David H. K. – Journal of Cognition and Development, 2022
To date, cross-cultural studies on Theory of Mind (ToM) have predominantly focused on preschoolers. This study focuses on middle childhood, comparing two samples of mainland Chinese (n = 126) and Australian (n = 83) children aged between 5.5 and 12 years. Strange Stories, the most commonly used measure of ToM, was employed. The study aimed to…
Descriptors: Theory of Mind, Preschool Children, Measures (Individuals), Story Telling
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Cochran, Kara A.; Bogat, G. Anne; Levendosky, Alytia A.; Nuttall, Amy K.; Bayerl, Georgia; Martinez-Torteya, Cecilia – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2022
Exposure to intimate partner violence (IPV) is associated with children's internalizing and externalizing problems. IPV is thought to impair mothers' ability to scaffold young children's emotion regulation through coregulated interactions. Mother-child language style matching (LSM) is an index of coregulation that has yet to be examined in…
Descriptors: Mothers, Parent Child Relationship, Play, Correlation
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Monteiro, Marta; Ricard, Richard J.; Ratanavivan, Wannigar – Journal of Research in Childhood Education, 2022
This pilot study explored the impact of an eight-session attentional skills training (AST) program for elementary-age school children. Twenty-four students, 3rd through 6th grade, participated in guidance sessions involving exposure to mindfulness exercises and video gaming activities designed to challenge visual attention, memory, and…
Descriptors: Metacognition, Video Games, Elementary School Students, Pilot Projects
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Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Goger, Annelies; Parco, Allyson; Vegas, Emiliana – Brookings Institution, 2022
The rapid expansion of new technologies into every sector has contributed to the proliferation of alternative models of education, learning, and skill signaling in global labor markets. From digital badges to bootcamps to learning and employment records (LERs), a wide range of public, private, and nonprofit initiatives and platforms have emerged…
Descriptors: Technological Literacy, Information Technology, Credentials, Information Storage
Pelletier, Kathe; McCormack, Mark; Reeves, Jamie; Robert, Jenay; Arbino, Nichole – EDUCAUSE, 2022
Two years into the COVID-19 pandemic, much still feels the same, though in some important ways thinking and behaviors may be shifting in anticipation of longer-term changes in the ways lives are structured and how places and spaces are shared. In higher education, these shifts may reflect an evolution from short-term "emergency" or…
Descriptors: Higher Education, Educational Trends, COVID-19, Pandemics
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